Project acronym 3D2DPrint
Project 3D Printing of Novel 2D Nanomaterials: Adding Advanced 2D Functionalities to Revolutionary Tailored 3D Manufacturing
Researcher (PI) Valeria Nicolosi
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), PE8, ERC-2015-CoG
Summary My vision is to establish, within the framework of an ERC CoG, a multidisciplinary group which will work in concert towards pioneering the integration of novel 2-Dimensional nanomaterials with novel additive fabrication techniques to develop a unique class of energy storage devices.
Batteries and supercapacitors are two very complementary types of energy storage devices. Batteries store much higher energy densities; supercapacitors, on the other hand, hold one tenth of the electricity per unit of volume or weight as compared to batteries but can achieve much higher power densities. Technology is currently striving to improve the power density of batteries and the energy density of supercapacitors. To do so it is imperative to develop new materials, chemistries and manufacturing strategies.
3D2DPrint aims to develop micro-energy devices (both supercapacitors and batteries), technologies particularly relevant in the context of the emergent industry of micro-electro-mechanical systems and constantly downsized electronics. We plan to use novel two-dimensional (2D) nanomaterials obtained by liquid-phase exfoliation. This method offers a new, economic and easy way to prepare ink of a variety of 2D systems, allowing to produce wide device performance window through elegant and simple constituent control at the point of fabrication. 3D2DPrint will use our expertise and know-how to allow development of advanced AM methods to integrate dissimilar nanomaterial blends and/or “hybrids” into fully embedded 3D printed energy storage devices, with the ultimate objective to realise a range of products that contain the above described nanomaterials subcomponent devices, electrical connections and traditional micro-fabricated subcomponents (if needed) ideally using a single tool.
Summary
My vision is to establish, within the framework of an ERC CoG, a multidisciplinary group which will work in concert towards pioneering the integration of novel 2-Dimensional nanomaterials with novel additive fabrication techniques to develop a unique class of energy storage devices.
Batteries and supercapacitors are two very complementary types of energy storage devices. Batteries store much higher energy densities; supercapacitors, on the other hand, hold one tenth of the electricity per unit of volume or weight as compared to batteries but can achieve much higher power densities. Technology is currently striving to improve the power density of batteries and the energy density of supercapacitors. To do so it is imperative to develop new materials, chemistries and manufacturing strategies.
3D2DPrint aims to develop micro-energy devices (both supercapacitors and batteries), technologies particularly relevant in the context of the emergent industry of micro-electro-mechanical systems and constantly downsized electronics. We plan to use novel two-dimensional (2D) nanomaterials obtained by liquid-phase exfoliation. This method offers a new, economic and easy way to prepare ink of a variety of 2D systems, allowing to produce wide device performance window through elegant and simple constituent control at the point of fabrication. 3D2DPrint will use our expertise and know-how to allow development of advanced AM methods to integrate dissimilar nanomaterial blends and/or “hybrids” into fully embedded 3D printed energy storage devices, with the ultimate objective to realise a range of products that contain the above described nanomaterials subcomponent devices, electrical connections and traditional micro-fabricated subcomponents (if needed) ideally using a single tool.
Max ERC Funding
2 499 942 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym A-DIET
Project Metabolomics based biomarkers of dietary intake- new tools for nutrition research
Researcher (PI) Lorraine Brennan
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Consolidator Grant (CoG), LS7, ERC-2014-CoG
Summary In todays advanced technological world, we can track the exact movement of individuals, analyse their genetic makeup and predict predisposition to certain diseases. However, we are unable to accurately assess an individual’s dietary intake. This is without a doubt one of the main stumbling blocks in assessing the link between diet and disease/health. The present proposal (A-DIET) will address this issue with the overarching objective to develop novel strategies for assessment of dietary intake.
Using approaches to (1) identify biomarkers of specific foods (2) classify people into dietary patterns (nutritypes) and (3) develop a tool for integration of dietary and biomarker data, A-DIET has the potential to dramatically enhance our ability to accurately assess dietary intake. The ultimate output from A-DIET will be a dietary assessment tool which can be used to obtain an accurate assessment of dietary intake by combining dietary and biomarker data which in turn will allow investigations into relationships between diet, health and disease. New biomarkers of specific foods will be identified and validated using intervention studies and metabolomic analyses. Methods will be developed to classify individuals into dietary patterns based on biomarker/metabolomic profiles thus demonstrating the novel concept of nutritypes. Strategies for integration of dietary and biomarker data will be developed and translated into a tool that will be made available to the wider scientific community.
Advances made in A-DIET will enable nutrition epidemiologist’s to properly examine the relationship between diet and disease and develop clear public health messages with regard to diet and health. Additionally results from A-DIET will allow researchers to accurately assess people’s diet and implement health promotion strategies and enable dieticians in a clinical environment to assess compliance to therapeutic diets such as adherence to a high fibre diet or a gluten free diet.
Summary
In todays advanced technological world, we can track the exact movement of individuals, analyse their genetic makeup and predict predisposition to certain diseases. However, we are unable to accurately assess an individual’s dietary intake. This is without a doubt one of the main stumbling blocks in assessing the link between diet and disease/health. The present proposal (A-DIET) will address this issue with the overarching objective to develop novel strategies for assessment of dietary intake.
Using approaches to (1) identify biomarkers of specific foods (2) classify people into dietary patterns (nutritypes) and (3) develop a tool for integration of dietary and biomarker data, A-DIET has the potential to dramatically enhance our ability to accurately assess dietary intake. The ultimate output from A-DIET will be a dietary assessment tool which can be used to obtain an accurate assessment of dietary intake by combining dietary and biomarker data which in turn will allow investigations into relationships between diet, health and disease. New biomarkers of specific foods will be identified and validated using intervention studies and metabolomic analyses. Methods will be developed to classify individuals into dietary patterns based on biomarker/metabolomic profiles thus demonstrating the novel concept of nutritypes. Strategies for integration of dietary and biomarker data will be developed and translated into a tool that will be made available to the wider scientific community.
Advances made in A-DIET will enable nutrition epidemiologist’s to properly examine the relationship between diet and disease and develop clear public health messages with regard to diet and health. Additionally results from A-DIET will allow researchers to accurately assess people’s diet and implement health promotion strategies and enable dieticians in a clinical environment to assess compliance to therapeutic diets such as adherence to a high fibre diet or a gluten free diet.
Max ERC Funding
1 995 548 €
Duration
Start date: 2015-08-01, End date: 2020-07-31
Project acronym Active-DNA
Project Computationally Active DNA Nanostructures
Researcher (PI) Damien WOODS
Host Institution (HI) NATIONAL UNIVERSITY OF IRELAND MAYNOOTH
Call Details Consolidator Grant (CoG), PE6, ERC-2017-COG
Summary During the 20th century computer technology evolved from bulky, slow, special purpose mechanical engines to the now ubiquitous silicon chips and software that are one of the pinnacles of human ingenuity. The goal of the field of molecular programming is to take the next leap and build a new generation of matter-based computers using DNA, RNA and proteins. This will be accomplished by computer scientists, physicists and chemists designing molecules to execute ``wet'' nanoscale programs in test tubes. The workflow includes proposing theoretical models, mathematically proving their computational properties, physical modelling and implementation in the wet-lab.
The past decade has seen remarkable progress at building static 2D and 3D DNA nanostructures. However, unlike biological macromolecules and complexes that are built via specified self-assembly pathways, that execute robotic-like movements, and that undergo evolution, the activity of human-engineered nanostructures is severely limited. We will need sophisticated algorithmic ideas to build structures that rival active living systems. Active-DNA, aims to address this challenge by achieving a number of objectives on computation, DNA-based self-assembly and molecular robotics. Active-DNA research work will range from defining models and proving theorems that characterise the computational and expressive capabilities of such active programmable materials to experimental work implementing active DNA nanostructures in the wet-lab.
Summary
During the 20th century computer technology evolved from bulky, slow, special purpose mechanical engines to the now ubiquitous silicon chips and software that are one of the pinnacles of human ingenuity. The goal of the field of molecular programming is to take the next leap and build a new generation of matter-based computers using DNA, RNA and proteins. This will be accomplished by computer scientists, physicists and chemists designing molecules to execute ``wet'' nanoscale programs in test tubes. The workflow includes proposing theoretical models, mathematically proving their computational properties, physical modelling and implementation in the wet-lab.
The past decade has seen remarkable progress at building static 2D and 3D DNA nanostructures. However, unlike biological macromolecules and complexes that are built via specified self-assembly pathways, that execute robotic-like movements, and that undergo evolution, the activity of human-engineered nanostructures is severely limited. We will need sophisticated algorithmic ideas to build structures that rival active living systems. Active-DNA, aims to address this challenge by achieving a number of objectives on computation, DNA-based self-assembly and molecular robotics. Active-DNA research work will range from defining models and proving theorems that characterise the computational and expressive capabilities of such active programmable materials to experimental work implementing active DNA nanostructures in the wet-lab.
Max ERC Funding
2 349 603 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym AEROSOL
Project Astrochemistry of old stars:direct probing of unique chemical laboratories
Researcher (PI) Leen Katrien Els Decin
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE9, ERC-2014-CoG
Summary The gas and dust in the interstellar medium (ISM) drive the chemical evolution of galaxies, the formation of stars and planets, and the synthesis of complex prebiotic molecules. The prime birth places for this interstellar material are the winds of evolved (super)giant stars. These winds are unique chemical laboratories, in which a large variety of gas and dust species radially expand away from the star.
Recent progress on the observations of these winds has been impressive thanks to Herschel and ALMA. The next challenge is to unravel the wealth of chemical information contained in these data. This is an ambitious task since (1) a plethora of physical and chemical processes interact in a complex way, (2) laboratory data to interpret these interactions are lacking, and (3) theoretical tools to analyse the data do not meet current needs.
To boost the knowledge of the physics and chemistry characterizing these winds, I propose a world-leading multi-disciplinary project combining (1) high-quality data, (2) novel theoretical wind models, and (3) targeted laboratory experiments. The aim is to pinpoint the dominant chemical pathways, unravel the transition from gas-phase to dust species, elucidate the role of clumps on the overall wind structure, and study the reciprocal effect between various dynamical and chemical phenomena.
Now is the right time for this ambitious project thanks to the availability of (1) high-quality multi-wavelength data, including ALMA and Herschel data of the PI, (2) supercomputers enabling a homogeneous analysis of the data using sophisticated theoretical wind models, and (3) novel laboratory equipment to measure the gas-phase reaction rates of key species.
This project will have far-reaching impact on (1) the field of evolved stars, (2) the understanding of the chemical lifecycle of the ISM, (3) chemical studies of dynamically more complex systems, such as exoplanets, protostars, supernovae etc., and (4) it will guide new instrument development.
Summary
The gas and dust in the interstellar medium (ISM) drive the chemical evolution of galaxies, the formation of stars and planets, and the synthesis of complex prebiotic molecules. The prime birth places for this interstellar material are the winds of evolved (super)giant stars. These winds are unique chemical laboratories, in which a large variety of gas and dust species radially expand away from the star.
Recent progress on the observations of these winds has been impressive thanks to Herschel and ALMA. The next challenge is to unravel the wealth of chemical information contained in these data. This is an ambitious task since (1) a plethora of physical and chemical processes interact in a complex way, (2) laboratory data to interpret these interactions are lacking, and (3) theoretical tools to analyse the data do not meet current needs.
To boost the knowledge of the physics and chemistry characterizing these winds, I propose a world-leading multi-disciplinary project combining (1) high-quality data, (2) novel theoretical wind models, and (3) targeted laboratory experiments. The aim is to pinpoint the dominant chemical pathways, unravel the transition from gas-phase to dust species, elucidate the role of clumps on the overall wind structure, and study the reciprocal effect between various dynamical and chemical phenomena.
Now is the right time for this ambitious project thanks to the availability of (1) high-quality multi-wavelength data, including ALMA and Herschel data of the PI, (2) supercomputers enabling a homogeneous analysis of the data using sophisticated theoretical wind models, and (3) novel laboratory equipment to measure the gas-phase reaction rates of key species.
This project will have far-reaching impact on (1) the field of evolved stars, (2) the understanding of the chemical lifecycle of the ISM, (3) chemical studies of dynamically more complex systems, such as exoplanets, protostars, supernovae etc., and (4) it will guide new instrument development.
Max ERC Funding
2 605 897 €
Duration
Start date: 2016-01-01, End date: 2020-12-31
Project acronym ART
Project Aberrant RNA degradation in T-cell leukemia
Researcher (PI) Jan Cools
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS4, ERC-2013-CoG
Summary "The deregulation of transcription is an important driver of leukemia development. Typically, transcription in leukemia cells is altered by the ectopic expression of transcription factors, by modulation of signaling pathways or by epigenetic changes. In addition to these factors that affect the production of RNAs, also changes in the processing of RNA (its splicing, transport and decay) may contribute to determine steady-state RNA levels in leukemia cells. Indeed, acquired mutations in various genes encoding RNA splice factors have recently been identified in myeloid leukemias and in chronic lymphocytic leukemia. In our study of T-cell acute lymphoblastic leukemia (T-ALL), we have identified mutations in RNA decay factors, including mutations in CNOT3, a protein believed to function in deadenylation of mRNA. It remains, however, unclear how mutations in RNA processing can contribute to the development of leukemia.
In this project, we aim to further characterize the mechanisms of RNA regulation in T-cell acute lymphoblastic leukemia (T-ALL) to obtain insight in the interplay between RNA generation and RNA decay and its role in leukemia development. We will study RNA decay in human T-ALL cells and mouse models of T-ALL, with the aim to identify the molecular consequences that contribute to leukemia development. We will use new technologies such as RNA-sequencing in combination with bromouridine labeling of RNA to measure RNA transcription and decay rates in a transcriptome wide manner allowing unbiased discoveries. These studies will be complemented with screens in Drosophila melanogaster using an established eye cancer model, previously also successfully used for the studies of T-ALL oncogenes.
This study will contribute to our understanding of the pathogenesis of T-ALL and may identify new targets for therapy of this leukemia. In addition, our study will provide a better understanding of how RNA processing is implicated in cancer development in general."
Summary
"The deregulation of transcription is an important driver of leukemia development. Typically, transcription in leukemia cells is altered by the ectopic expression of transcription factors, by modulation of signaling pathways or by epigenetic changes. In addition to these factors that affect the production of RNAs, also changes in the processing of RNA (its splicing, transport and decay) may contribute to determine steady-state RNA levels in leukemia cells. Indeed, acquired mutations in various genes encoding RNA splice factors have recently been identified in myeloid leukemias and in chronic lymphocytic leukemia. In our study of T-cell acute lymphoblastic leukemia (T-ALL), we have identified mutations in RNA decay factors, including mutations in CNOT3, a protein believed to function in deadenylation of mRNA. It remains, however, unclear how mutations in RNA processing can contribute to the development of leukemia.
In this project, we aim to further characterize the mechanisms of RNA regulation in T-cell acute lymphoblastic leukemia (T-ALL) to obtain insight in the interplay between RNA generation and RNA decay and its role in leukemia development. We will study RNA decay in human T-ALL cells and mouse models of T-ALL, with the aim to identify the molecular consequences that contribute to leukemia development. We will use new technologies such as RNA-sequencing in combination with bromouridine labeling of RNA to measure RNA transcription and decay rates in a transcriptome wide manner allowing unbiased discoveries. These studies will be complemented with screens in Drosophila melanogaster using an established eye cancer model, previously also successfully used for the studies of T-ALL oncogenes.
This study will contribute to our understanding of the pathogenesis of T-ALL and may identify new targets for therapy of this leukemia. In addition, our study will provide a better understanding of how RNA processing is implicated in cancer development in general."
Max ERC Funding
1 998 300 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym ASTROFLOW
Project The influence of stellar outflows on exoplanetary mass loss
Researcher (PI) Aline VIDOTTO
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), PE9, ERC-2018-COG
Summary ASTROFLOW aims to make ground-breaking progress in our physical understanding of exoplanetary mass loss, by quantifying the influence of stellar outflows on atmospheric escape of close-in exoplanets. Escape plays a key role in planetary evolution, population, and potential to develop life. Stellar irradiation and outflows affect planetary mass loss: irradiation heats planetary atmospheres, which inflate and more likely escape; outflows cause pressure confinement around otherwise freely escaping atmospheres. This external pressure can increase, reduce or even suppress escape rates; its effects on exoplanetary mass loss remain largely unexplored due to the complexity of such interactions. I will fill this knowledge gap by developing a novel modelling framework of atmospheric escape that will, for the first time, consider the effects of realistic stellar outflows on exoplanetary mass loss. My expertise in stellar wind theory and 3D magnetohydrodynamic simulations is crucial for producing the next-generation models of planetary escape. My framework will consist of state-of-the-art, time-dependent, 3D simulations of stellar outflows (Method 1), which will be coupled to novel 3D simulations of atmospheric escape (Method 2). My models will account for the major underlying physical processes of mass loss. With this, I will determine the response of planetary mass loss to realistic stellar particle, magnetic and radiation environments and will characterise the physical conditions of the escaping material. I will compute how its extinction varies during transit and compare synthetic line profiles to atmospheric escape observations from, eg, Hubble and our NASA cubesat CUTE. Strong synergy with upcoming observations (JWST, TESS, SPIRou, CARMENES) also exists. Determining the lifetime of planetary atmospheres is essential to understanding populations of exoplanets. ASTROFLOW’s work will be the foundation for future research of how exoplanets evolve under mass-loss processes.
Summary
ASTROFLOW aims to make ground-breaking progress in our physical understanding of exoplanetary mass loss, by quantifying the influence of stellar outflows on atmospheric escape of close-in exoplanets. Escape plays a key role in planetary evolution, population, and potential to develop life. Stellar irradiation and outflows affect planetary mass loss: irradiation heats planetary atmospheres, which inflate and more likely escape; outflows cause pressure confinement around otherwise freely escaping atmospheres. This external pressure can increase, reduce or even suppress escape rates; its effects on exoplanetary mass loss remain largely unexplored due to the complexity of such interactions. I will fill this knowledge gap by developing a novel modelling framework of atmospheric escape that will, for the first time, consider the effects of realistic stellar outflows on exoplanetary mass loss. My expertise in stellar wind theory and 3D magnetohydrodynamic simulations is crucial for producing the next-generation models of planetary escape. My framework will consist of state-of-the-art, time-dependent, 3D simulations of stellar outflows (Method 1), which will be coupled to novel 3D simulations of atmospheric escape (Method 2). My models will account for the major underlying physical processes of mass loss. With this, I will determine the response of planetary mass loss to realistic stellar particle, magnetic and radiation environments and will characterise the physical conditions of the escaping material. I will compute how its extinction varies during transit and compare synthetic line profiles to atmospheric escape observations from, eg, Hubble and our NASA cubesat CUTE. Strong synergy with upcoming observations (JWST, TESS, SPIRou, CARMENES) also exists. Determining the lifetime of planetary atmospheres is essential to understanding populations of exoplanets. ASTROFLOW’s work will be the foundation for future research of how exoplanets evolve under mass-loss processes.
Max ERC Funding
1 999 956 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym BantuFirst
Project The First Bantu Speakers South of the Rainforest: A Cross-Disciplinary Approach to Human Migration, Language Spread, Climate Change and Early Farming in Late Holocene Central Africa
Researcher (PI) Koen André G. BOSTOEN
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), SH6, ERC-2016-COG
Summary The Bantu Expansion is not only the main linguistic, cultural and demographic process in Late Holocene Africa. It is also one of the most controversial issues in African History that still has political repercussions today. It has sparked debate across the disciplines and far beyond Africanist circles in an attempt to understand how the young Bantu language family (ca. 5000 years) could spread over large parts of Central, Eastern and Southern Africa. This massive dispersal is commonly seen as the result of a single migratory macro-event driven by agriculture, but many questions about the movement and subsistence of ancestral Bantu speakers are still open. They can only be answered through real interdisciplinary collaboration. This project will unite researchers with outstanding expertise in African archaeology, archaeobotany and historical linguistics to form a unique cross-disciplinary team that will shed new light on the first Bantu-speaking village communities south of the rainforest. Fieldwork is planned in parts of the Democratic Republic of Congo, the Republic of Congo and Angola that are terra incognita for archaeologists to determine the timing, location and archaeological signature of the earliest villagers and to establish how they interacted with autochthonous hunter-gatherers. Special attention will be paid to archaeobotanical and palaeoenvironmental data to get an idea of their subsistence, diet and habitat. Historical linguistics will be pushed beyond the boundaries of vocabulary-based phylogenetics and open new pathways in lexical reconstruction, especially regarding subsistence and land use of early Bantu speakers. Through interuniversity collaboration archaeozoological, palaeoenvironmental and genetic data and phylogenetic modelling will be brought into the cross-disciplinary approach to acquire a new holistic view on the interconnections between human migration, language spread, climate change and early farming in Late Holocene Central Africa.
Summary
The Bantu Expansion is not only the main linguistic, cultural and demographic process in Late Holocene Africa. It is also one of the most controversial issues in African History that still has political repercussions today. It has sparked debate across the disciplines and far beyond Africanist circles in an attempt to understand how the young Bantu language family (ca. 5000 years) could spread over large parts of Central, Eastern and Southern Africa. This massive dispersal is commonly seen as the result of a single migratory macro-event driven by agriculture, but many questions about the movement and subsistence of ancestral Bantu speakers are still open. They can only be answered through real interdisciplinary collaboration. This project will unite researchers with outstanding expertise in African archaeology, archaeobotany and historical linguistics to form a unique cross-disciplinary team that will shed new light on the first Bantu-speaking village communities south of the rainforest. Fieldwork is planned in parts of the Democratic Republic of Congo, the Republic of Congo and Angola that are terra incognita for archaeologists to determine the timing, location and archaeological signature of the earliest villagers and to establish how they interacted with autochthonous hunter-gatherers. Special attention will be paid to archaeobotanical and palaeoenvironmental data to get an idea of their subsistence, diet and habitat. Historical linguistics will be pushed beyond the boundaries of vocabulary-based phylogenetics and open new pathways in lexical reconstruction, especially regarding subsistence and land use of early Bantu speakers. Through interuniversity collaboration archaeozoological, palaeoenvironmental and genetic data and phylogenetic modelling will be brought into the cross-disciplinary approach to acquire a new holistic view on the interconnections between human migration, language spread, climate change and early farming in Late Holocene Central Africa.
Max ERC Funding
1 997 500 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym BAS-SBBT
Project Bacterial Amyloid Secretion: Structural Biology and Biotechnology.
Researcher (PI) Han Karel Remaut
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS1, ERC-2014-CoG
Summary Curli are functional amyloid fibers that constitute the major protein component of the extracellular matrix in pellicle biofilms formed by Bacteroidetes and Proteobacteria. Unlike the protein misfolding and aggregation events seen in pathological amyloid diseases such as Alzheimer’s and Parkinson’s disease, curli are the product of a dedicated protein secretion machinery. Curli formation requires a specialised and mechanistically unique transporter in the bacterial outer membrane, as well as two soluble accessory proteins thought to facilitate the safe guidance of the curli subunits across the periplasm and to coordinate their self-assembly at cell surface.
In this interdisciplinary research program we will study the structural and molecular biology of E. coli curli biosynthesis and address the fundamental questions concerning the molecular processes that allow the spatially and temporally controlled transport and deposition of these pro-amyloidogenic polypeptides. We will structurally unravel the secretion machinery, trap and analyse critical secretion intermediates and through in vitro reconstitution, assemble a minimal, self-sufficient peptide transport and fiber assembly system.
The new insights gained will set the stage for targeted interventions in curli -mediated biofilm formation and this research project will develop a new framework to harness the unique properties found in curli structure and biosynthesis for biotechnological applications as in patterned functionalized nanowires and directed, selective peptide carriers.
Summary
Curli are functional amyloid fibers that constitute the major protein component of the extracellular matrix in pellicle biofilms formed by Bacteroidetes and Proteobacteria. Unlike the protein misfolding and aggregation events seen in pathological amyloid diseases such as Alzheimer’s and Parkinson’s disease, curli are the product of a dedicated protein secretion machinery. Curli formation requires a specialised and mechanistically unique transporter in the bacterial outer membrane, as well as two soluble accessory proteins thought to facilitate the safe guidance of the curli subunits across the periplasm and to coordinate their self-assembly at cell surface.
In this interdisciplinary research program we will study the structural and molecular biology of E. coli curli biosynthesis and address the fundamental questions concerning the molecular processes that allow the spatially and temporally controlled transport and deposition of these pro-amyloidogenic polypeptides. We will structurally unravel the secretion machinery, trap and analyse critical secretion intermediates and through in vitro reconstitution, assemble a minimal, self-sufficient peptide transport and fiber assembly system.
The new insights gained will set the stage for targeted interventions in curli -mediated biofilm formation and this research project will develop a new framework to harness the unique properties found in curli structure and biosynthesis for biotechnological applications as in patterned functionalized nanowires and directed, selective peptide carriers.
Max ERC Funding
1 989 489 €
Duration
Start date: 2015-06-01, End date: 2020-05-31
Project acronym BEAL
Project Bioenergetics in microalgae : regulation modes of mitochondrial respiration, photosynthesis, and fermentative pathways, and their interactions in secondary algae
Researcher (PI) Pierre Antoine Georges Cardol
Host Institution (HI) UNIVERSITE DE LIEGE
Call Details Consolidator Grant (CoG), LS8, ERC-2015-CoG
Summary During the course of eukaryote evolution, photosynthesis was propagated from primary eukaryotic algae to non-photosynthetic organisms through multiple secondary endosymbiotic events. Collectively referred to as “secondary algae”, these photosynthetic organisms account for only 1-2% of the total global biomass, but produce a far larger part of the global annual fixation of carbon on Earth.
ATP is the universal chemical energy carrier in living cells. In photosynthetic eukaryotes, it is produced by two major cellular processes: photosynthesis and respiration taking place in chloroplasts and mitochondria, respectively. Both processes support the production of biomass and govern gas (O2 and CO2) exchanges. On the other hand, anaerobic fermentative enzymes have also been identified in several primary and secondary algae. The regulation modes and interactions of respiration, photosynthesis and fermentation are fairly well understood in primary green algae. Conversely, the complex evolutionary history of secondary algae implies a great variety of original regulatory mechanisms that have been barely investigated to date.
Over the last years my laboratory has developed and optimized a range of multidisciplinary approaches that now allow us, within the frame of the BEAL (BioEnergetics in microALgae) project, to (i) characterize and compare the photosynthetic regulation modes by biophysical approaches, (ii) use genetic and biochemical approaches to gain fundamental knowledge on aerobic respiration and anaerobic fermentative pathways, and (iii) investigate and compare interconnections between respiration, photosynthesis, and fermentation in organisms resulting from distinct evolutionary scenarios. On a long term, these developments will be instrumental to unravel bioenergetics constraints on growth in microalgae, a required knowledge to exploit the microalgal diversity in a biotechnological perspective, and to understand the complexity of the marine phytoplankton.
Summary
During the course of eukaryote evolution, photosynthesis was propagated from primary eukaryotic algae to non-photosynthetic organisms through multiple secondary endosymbiotic events. Collectively referred to as “secondary algae”, these photosynthetic organisms account for only 1-2% of the total global biomass, but produce a far larger part of the global annual fixation of carbon on Earth.
ATP is the universal chemical energy carrier in living cells. In photosynthetic eukaryotes, it is produced by two major cellular processes: photosynthesis and respiration taking place in chloroplasts and mitochondria, respectively. Both processes support the production of biomass and govern gas (O2 and CO2) exchanges. On the other hand, anaerobic fermentative enzymes have also been identified in several primary and secondary algae. The regulation modes and interactions of respiration, photosynthesis and fermentation are fairly well understood in primary green algae. Conversely, the complex evolutionary history of secondary algae implies a great variety of original regulatory mechanisms that have been barely investigated to date.
Over the last years my laboratory has developed and optimized a range of multidisciplinary approaches that now allow us, within the frame of the BEAL (BioEnergetics in microALgae) project, to (i) characterize and compare the photosynthetic regulation modes by biophysical approaches, (ii) use genetic and biochemical approaches to gain fundamental knowledge on aerobic respiration and anaerobic fermentative pathways, and (iii) investigate and compare interconnections between respiration, photosynthesis, and fermentation in organisms resulting from distinct evolutionary scenarios. On a long term, these developments will be instrumental to unravel bioenergetics constraints on growth in microalgae, a required knowledge to exploit the microalgal diversity in a biotechnological perspective, and to understand the complexity of the marine phytoplankton.
Max ERC Funding
1 837 625 €
Duration
Start date: 2016-06-01, End date: 2021-05-31
Project acronym BeyondOpposition
Project Opposing Sexual and Gender Rights and Equalities: Transforming Everyday Spaces
Researcher (PI) Katherine Browne
Host Institution (HI) NATIONAL UNIVERSITY OF IRELAND MAYNOOTH
Call Details Consolidator Grant (CoG), SH2, ERC-2018-COG
Summary OPPSEXRIGHTS will be the first large-scale, transnational study to consider the effects of recent Sexual and Gender Rights and Equalities (SGRE) on those who oppose them, by exploring opponents’ experiences of the transformation of everyday spaces. It will work beyond contemporary polarisations, creating new possibilities for social transformation. This cutting-edge research engages with the dramatically altered social and political landscapes in the late 20th and early 21st Century created through the development of lesbian, gay, bisexual, and trans, and women’s rights. Recent reactionary politics highlight the pressing need to understand the position of those who experience these new social orders as a loss. The backlash to SGRE has coalesced into various resistances that are tangibly different to the classic vilification of homosexuality, or those that are anti-woman. Some who oppose SGRE have found themselves the subject of public critique; in the workplace, their jobs threatened, while at home, engagements with schools can cause family conflicts. This is particularly visible in the case studies of Ireland, UK and Canada because of SGRE. A largescale transnational systematic database will be created using low risk (media and organisational discourses; participant observation at oppositional events) and higher risk (online data collection and interviews) methods. Experimenting with social transformation, OPPSEXRIGHTS will work to build bridges between ‘enemies’, including families and communities, through innovative discussion and arts-based workshops. This ambitious project has the potential to create tangible solutions that tackle contemporary societal issues, which are founded in polarisations that are seemingly insurmountable.
Summary
OPPSEXRIGHTS will be the first large-scale, transnational study to consider the effects of recent Sexual and Gender Rights and Equalities (SGRE) on those who oppose them, by exploring opponents’ experiences of the transformation of everyday spaces. It will work beyond contemporary polarisations, creating new possibilities for social transformation. This cutting-edge research engages with the dramatically altered social and political landscapes in the late 20th and early 21st Century created through the development of lesbian, gay, bisexual, and trans, and women’s rights. Recent reactionary politics highlight the pressing need to understand the position of those who experience these new social orders as a loss. The backlash to SGRE has coalesced into various resistances that are tangibly different to the classic vilification of homosexuality, or those that are anti-woman. Some who oppose SGRE have found themselves the subject of public critique; in the workplace, their jobs threatened, while at home, engagements with schools can cause family conflicts. This is particularly visible in the case studies of Ireland, UK and Canada because of SGRE. A largescale transnational systematic database will be created using low risk (media and organisational discourses; participant observation at oppositional events) and higher risk (online data collection and interviews) methods. Experimenting with social transformation, OPPSEXRIGHTS will work to build bridges between ‘enemies’, including families and communities, through innovative discussion and arts-based workshops. This ambitious project has the potential to create tangible solutions that tackle contemporary societal issues, which are founded in polarisations that are seemingly insurmountable.
Max ERC Funding
1 988 652 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym BIONICbacteria
Project Integrating a novel layer of synthetic biology tools in Pseudomonas, inspired by bacterial viruses
Researcher (PI) Rob LAVIGNE
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), LS9, ERC-2018-COG
Summary As nature’s first bioengineers, bacteriophages have evolved to modify, adapt and control their bacterial hosts through billions of years of interactions. Indeed, like modern synthetic biologists aspire to do, bacteriophages already evade bacterial silencing of their xenogeneic DNA, subvert host gene expression, and co-opt both the central and peripheral metabolisms of their hosts. Studying these key insights from a molecular systems biology perspective, inspired us to develop these evolutionary fully-adapted phage mechanisms as a next-level layer of synthetic biology tools. Thus, BIONICbacteria will provide conceptual novel synthetic biology tools that allow direct manipulation of specific protein activity, post-translational modifications, RNA stability, and metabolite concentrations.
The goal of BIONICbacteria is to pioneer an unconventional way to perform synthetic biology, tapping an unlimited source of novel phage tools genetic circuits and phage modulators. To achieve these goals, we will apply and develop state-of-the-art technologies in molecular microbiology and focus on three principal aims:
(1) To exploit new phage-encoded genetic circuits as synthetic biology parts and as intricate biotechnological chassis.
(2) To build synthetic phage modulators (SPMs) as novel payloads to directly impact the bacterial metabolism in a targeted manner.
(3) To create designer bacteria by integrating SPMs-containing circuits into bacterial strains as proof-of-concepts for applications in industrial fermentations and vaccine design.
This proposed “plug-in” approach of evolutionary-adapted synthetic modules, will allow us to domesticate Pseudomonas strains in radically new ways. By building proofs-of-concept for applications in industrial fermentations and vaccine development, we address key problem in these areas with potentially high-gain solutions for society and industry.
Summary
As nature’s first bioengineers, bacteriophages have evolved to modify, adapt and control their bacterial hosts through billions of years of interactions. Indeed, like modern synthetic biologists aspire to do, bacteriophages already evade bacterial silencing of their xenogeneic DNA, subvert host gene expression, and co-opt both the central and peripheral metabolisms of their hosts. Studying these key insights from a molecular systems biology perspective, inspired us to develop these evolutionary fully-adapted phage mechanisms as a next-level layer of synthetic biology tools. Thus, BIONICbacteria will provide conceptual novel synthetic biology tools that allow direct manipulation of specific protein activity, post-translational modifications, RNA stability, and metabolite concentrations.
The goal of BIONICbacteria is to pioneer an unconventional way to perform synthetic biology, tapping an unlimited source of novel phage tools genetic circuits and phage modulators. To achieve these goals, we will apply and develop state-of-the-art technologies in molecular microbiology and focus on three principal aims:
(1) To exploit new phage-encoded genetic circuits as synthetic biology parts and as intricate biotechnological chassis.
(2) To build synthetic phage modulators (SPMs) as novel payloads to directly impact the bacterial metabolism in a targeted manner.
(3) To create designer bacteria by integrating SPMs-containing circuits into bacterial strains as proof-of-concepts for applications in industrial fermentations and vaccine design.
This proposed “plug-in” approach of evolutionary-adapted synthetic modules, will allow us to domesticate Pseudomonas strains in radically new ways. By building proofs-of-concept for applications in industrial fermentations and vaccine development, we address key problem in these areas with potentially high-gain solutions for society and industry.
Max ERC Funding
1 998 750 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym BOSS-WAVES
Project Back-reaction Of Solar plaSma to WAVES
Researcher (PI) Tom VAN DOORSSELAERE
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE9, ERC-2016-COG
Summary "The solar coronal heating problem is a long-standing astrophysical problem. The slow DC (reconnection) heating models are well developed in detailed 3D numerical simulations. The fast AC (wave) heating mechanisms have traditionally been neglected since there were no wave observations.
Since 2007, we know that the solar atmosphere is filled with transverse waves, but still we have no adequate models (except for my own 1D analytical models) for their dissipation and plasma heating by these waves. We urgently need to know the contribution of these waves to the coronal heating problem.
In BOSS-WAVES, I will innovate the AC wave heating models by utilising novel 3D numerical simulations of propagating transverse waves. From previous results in my team, I know that the inclusion of the back-reaction of the solar plasma is crucial in understanding the energy dissipation: the wave heating leads to chromospheric evaporation and plasma mixing (by the Kelvin-Helmholtz instability).
BOSS-WAVES will bring the AC heating models to the same level of state-of-the-art DC heating models.
The high-risk, high-gain goals are (1) to create a coronal loop heated by waves, starting from an "empty" corona, by evaporating chromospheric material, and (2) to pioneer models for whole active regions heated by transverse waves."
Summary
"The solar coronal heating problem is a long-standing astrophysical problem. The slow DC (reconnection) heating models are well developed in detailed 3D numerical simulations. The fast AC (wave) heating mechanisms have traditionally been neglected since there were no wave observations.
Since 2007, we know that the solar atmosphere is filled with transverse waves, but still we have no adequate models (except for my own 1D analytical models) for their dissipation and plasma heating by these waves. We urgently need to know the contribution of these waves to the coronal heating problem.
In BOSS-WAVES, I will innovate the AC wave heating models by utilising novel 3D numerical simulations of propagating transverse waves. From previous results in my team, I know that the inclusion of the back-reaction of the solar plasma is crucial in understanding the energy dissipation: the wave heating leads to chromospheric evaporation and plasma mixing (by the Kelvin-Helmholtz instability).
BOSS-WAVES will bring the AC heating models to the same level of state-of-the-art DC heating models.
The high-risk, high-gain goals are (1) to create a coronal loop heated by waves, starting from an "empty" corona, by evaporating chromospheric material, and (2) to pioneer models for whole active regions heated by transverse waves."
Max ERC Funding
1 991 960 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym CHAMELEON
Project Cellular Hypoxia Alters DNA MEthylation through Loss of Epigenome OxidatioN
Researcher (PI) Diether Lambrechts
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS2, ERC-2013-CoG
Summary "DNA methylation was originally described in the 1970s as an epigenetic mark involved in transcriptional silencing, but the existence of DNA demethylation and the enzymes involved in this process were only recently discovered. In particular, it was established that TET hydroxylases catalyze the conversion of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC) through a reaction requiring oxygen (O2) and 2-oxoglutarate (2OG). DNA demethylation as mediated by TET hydroxylases has so far predominantly been studied in the context of stem cells, but its precise contribution to carcinogenesis remains largely enigmatic. Nevertheless, somatic mutations in TETs have been identified in numerous cancers.
Tumor hypoxia is linked to increased malignancy, poor prognosis and resistance to cancer therapies. In this proposal, we aim to assess how hypoxia directly impacts on the cancer epigenome through the dependence of TET-mediated DNA demethylation on O2. First of all, we will study the effect of O2 and 2OG concentration on TET hydroxylase activity, as well as the overall and locus-specific changes of their product (5hmC). Secondly, because much of the hypoxic response is executed through HIFs, we will investigate how HIF binding is influenced by DNA methylation and if so, whether TET hydroxylases are targeted to HIF (or other) binding sites to maintain them transcriptionally active. Thirdly, we will assess to what extent 5hmC profiles differ between tumor types and construct a comprehensive panel of (tumor-specific) 5hmC sites to assess the global and locus-specific relevance of 5hmC in various cancers. Finally, since hypoxia is a key regulator of the cancer stem cell (CSC) niche and within the tumor microenvironment also promotes metastasis, we will establish the in vivo relevance of DNA demethylation, as imposed by tumor hypoxia, in the CSC niche and during metastasis. Overall, we thus aim to establish the interplay between tumor hypoxia and the DNA methylome."
Summary
"DNA methylation was originally described in the 1970s as an epigenetic mark involved in transcriptional silencing, but the existence of DNA demethylation and the enzymes involved in this process were only recently discovered. In particular, it was established that TET hydroxylases catalyze the conversion of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC) through a reaction requiring oxygen (O2) and 2-oxoglutarate (2OG). DNA demethylation as mediated by TET hydroxylases has so far predominantly been studied in the context of stem cells, but its precise contribution to carcinogenesis remains largely enigmatic. Nevertheless, somatic mutations in TETs have been identified in numerous cancers.
Tumor hypoxia is linked to increased malignancy, poor prognosis and resistance to cancer therapies. In this proposal, we aim to assess how hypoxia directly impacts on the cancer epigenome through the dependence of TET-mediated DNA demethylation on O2. First of all, we will study the effect of O2 and 2OG concentration on TET hydroxylase activity, as well as the overall and locus-specific changes of their product (5hmC). Secondly, because much of the hypoxic response is executed through HIFs, we will investigate how HIF binding is influenced by DNA methylation and if so, whether TET hydroxylases are targeted to HIF (or other) binding sites to maintain them transcriptionally active. Thirdly, we will assess to what extent 5hmC profiles differ between tumor types and construct a comprehensive panel of (tumor-specific) 5hmC sites to assess the global and locus-specific relevance of 5hmC in various cancers. Finally, since hypoxia is a key regulator of the cancer stem cell (CSC) niche and within the tumor microenvironment also promotes metastasis, we will establish the in vivo relevance of DNA demethylation, as imposed by tumor hypoxia, in the CSC niche and during metastasis. Overall, we thus aim to establish the interplay between tumor hypoxia and the DNA methylome."
Max ERC Funding
1 920 000 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym ChronHib
Project Chronologicon Hibernicum – A Probabilistic Chronological Framework for Dating Early Irish Language Developments and Literature
Researcher (PI) David Stifter
Host Institution (HI) NATIONAL UNIVERSITY OF IRELAND MAYNOOTH
Call Details Consolidator Grant (CoG), SH4, ERC-2014-CoG
Summary Early Medieval Irish literature (7th–10th centuries) is vast in extent and rich in genres, but owing to its mostly anonymous transmission, for most texts the precise time and circumstances of composition are unknown. Unless where texts contain historical references, the only clues for a rough chronological positioning of the texts are to be found in their linguistic peculiarities. Phonology, morphology, syntax and the lexicon of the Irish language changed considerably from Early Old Irish (7th c.) into Middle Irish (c. 10th–12th centuries). However, only the relative sequence of changes is well understood; for most sound changes very few narrow dates have been proposed so far.
It is the aim of Chronologicon Hibernicum to find a common solution for both problems: through the linguistic profiling of externally dated texts (esp. annalistic writing and sources with a clear historical anchorage) and through serialising the emerging linguistic and chronological data, progress will be made in assigning dates to the linguistic changes. Groundbreakingly, this will be done by using statistical methods for the seriation of the data, and for estimating dates using Bayesian inference.
The resultant information will then be used to find new dates for hitherto undated texts. On this basis, a much tighter chronological framework for the developments of the Early Medieval Irish language will be created. In a further step it will be possible to arrive at a better chronological description of medieval Irish literature as a whole, which will have repercussions on the study of the history and cultural and intellectual environment of medieval Ireland and on its connections with the wider world.
The data collected and analysed in this project will form the database Chronologicon Hibernicum which will serve as the authoritative guideline and reference point for the linguistic dating of Irish texts. In the future, the methodology will be transferable to other languages.
Summary
Early Medieval Irish literature (7th–10th centuries) is vast in extent and rich in genres, but owing to its mostly anonymous transmission, for most texts the precise time and circumstances of composition are unknown. Unless where texts contain historical references, the only clues for a rough chronological positioning of the texts are to be found in their linguistic peculiarities. Phonology, morphology, syntax and the lexicon of the Irish language changed considerably from Early Old Irish (7th c.) into Middle Irish (c. 10th–12th centuries). However, only the relative sequence of changes is well understood; for most sound changes very few narrow dates have been proposed so far.
It is the aim of Chronologicon Hibernicum to find a common solution for both problems: through the linguistic profiling of externally dated texts (esp. annalistic writing and sources with a clear historical anchorage) and through serialising the emerging linguistic and chronological data, progress will be made in assigning dates to the linguistic changes. Groundbreakingly, this will be done by using statistical methods for the seriation of the data, and for estimating dates using Bayesian inference.
The resultant information will then be used to find new dates for hitherto undated texts. On this basis, a much tighter chronological framework for the developments of the Early Medieval Irish language will be created. In a further step it will be possible to arrive at a better chronological description of medieval Irish literature as a whole, which will have repercussions on the study of the history and cultural and intellectual environment of medieval Ireland and on its connections with the wider world.
The data collected and analysed in this project will form the database Chronologicon Hibernicum which will serve as the authoritative guideline and reference point for the linguistic dating of Irish texts. In the future, the methodology will be transferable to other languages.
Max ERC Funding
1 804 230 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym cis-CONTROL
Project Decoding and controlling cell-state switching: A bottom-up approach based on enhancer logic
Researcher (PI) Stein Luc AERTS
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS2, ERC-2016-COG
Summary Cell-state switching in cancer allows cells to transition from a proliferative to an invasive and drug-resistant phenotype. This plasticity plays an important role in cancer progression and tumour heterogeneity. We have made a striking observation that cancer cells of different origin can switch to a common survival state. During this epigenomic reprogramming, cancer cells re-activate genomic enhancers from specific regulatory programs, such as wound repair and epithelial-to-mesenchymal transition.
The goal of my project is to decipher the enhancer logic underlying this canalization effect towards a common survival state. We will then employ this new understanding of enhancer logic to engineer synthetic enhancers that are able to monitor and manipulate cell-state switching in real time. Furthermore, we will use enhancer models to identify cis-regulatory mutations that have an impact on cell-state switching and drug resistance. Such applications are currently hampered because there is a significant gap in our understanding of how enhancers work.
To tackle this problem we will use a combination of in vivo massively parallel enhancer-reporter assays, single-cell genomics on microfluidic devices, computational modelling, and synthetic enhancer design. Using these approaches we will pursue the following aims: (1) to identify functional enhancers regulating cell-state switching by performing in vivo genetic screens in mice; (2) to elucidate the dynamic trajectories whereby cells of different cancer types switch to a common survival cell-state, at single-cell resolution; (3) to create synthetic enhancer circuits that specifically kill cancer cells undergoing cell-state switching.
Our findings will have an impact on genome research, characterizing how cellular decision making is implemented by the cis-regulatory code; and on cancer research, employing enhancer logic in the context of cancer therapy.
Summary
Cell-state switching in cancer allows cells to transition from a proliferative to an invasive and drug-resistant phenotype. This plasticity plays an important role in cancer progression and tumour heterogeneity. We have made a striking observation that cancer cells of different origin can switch to a common survival state. During this epigenomic reprogramming, cancer cells re-activate genomic enhancers from specific regulatory programs, such as wound repair and epithelial-to-mesenchymal transition.
The goal of my project is to decipher the enhancer logic underlying this canalization effect towards a common survival state. We will then employ this new understanding of enhancer logic to engineer synthetic enhancers that are able to monitor and manipulate cell-state switching in real time. Furthermore, we will use enhancer models to identify cis-regulatory mutations that have an impact on cell-state switching and drug resistance. Such applications are currently hampered because there is a significant gap in our understanding of how enhancers work.
To tackle this problem we will use a combination of in vivo massively parallel enhancer-reporter assays, single-cell genomics on microfluidic devices, computational modelling, and synthetic enhancer design. Using these approaches we will pursue the following aims: (1) to identify functional enhancers regulating cell-state switching by performing in vivo genetic screens in mice; (2) to elucidate the dynamic trajectories whereby cells of different cancer types switch to a common survival cell-state, at single-cell resolution; (3) to create synthetic enhancer circuits that specifically kill cancer cells undergoing cell-state switching.
Our findings will have an impact on genome research, characterizing how cellular decision making is implemented by the cis-regulatory code; and on cancer research, employing enhancer logic in the context of cancer therapy.
Max ERC Funding
1 999 660 €
Duration
Start date: 2017-06-01, End date: 2022-05-31
Project acronym CRADLE
Project Cancer treatment during pregnancy: from fetal safety to maternal efficacy
Researcher (PI) Frederic Amant
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), LS7, ERC-2014-CoG
Summary The evolution in drug regulation of the last 50 years has left pregnant women and their fetuses orphaned. This is particularly problematic for cancer during pregnancy, which raises a difficult and conflicting medical ethical decision process and which has recently become increasingly frequent. In 2012 we published the first prospective study indicating that antenatal exposure to cancer treatment can overall be considered safe. Building on this proof of concept, the current proposal wants to take a groundbreaking step towards developing a standard of care for cancer during pregnancy by addressing –in an integrated fashion- the challenges at the level of the fetus, the mother and the fetomaternal barrier. At the core of this proposal lies an international registry of pregnant women with cancer, along with a registry of their children, and biobanks of maternal, placental, cord blood and tumoral tissues. Research track ‘child’ aims to deliver robust evidence of fetal safety. Research track ‘mother’ aims to address the emerging concerns in the oncological management of the mother, and specifically, the possible distinct biology of pregnancy-associated breast cancer, the most frequent cancer type in pregnancy. The research approach includes large-scale clinical follow-up studies along with laboratory studies on patient biomaterials, including pharmacological investigations and RNA-sequencing studies. Complementary to these studies is research track ‘placenta’ in which cutting-edge models of human placental research are used to address the poorly understood physiological basis of the placental barrier function in this specific situation. This ambitious program will rely on a multidisciplinary team of experts. Not only may the scientific deliverables of this proposal constitute a major step forward to the well-being of both mother and fetus in a pregnancy complicated by cancer, the methodological approach may also provide critical impetus to further research in this field.
Summary
The evolution in drug regulation of the last 50 years has left pregnant women and their fetuses orphaned. This is particularly problematic for cancer during pregnancy, which raises a difficult and conflicting medical ethical decision process and which has recently become increasingly frequent. In 2012 we published the first prospective study indicating that antenatal exposure to cancer treatment can overall be considered safe. Building on this proof of concept, the current proposal wants to take a groundbreaking step towards developing a standard of care for cancer during pregnancy by addressing –in an integrated fashion- the challenges at the level of the fetus, the mother and the fetomaternal barrier. At the core of this proposal lies an international registry of pregnant women with cancer, along with a registry of their children, and biobanks of maternal, placental, cord blood and tumoral tissues. Research track ‘child’ aims to deliver robust evidence of fetal safety. Research track ‘mother’ aims to address the emerging concerns in the oncological management of the mother, and specifically, the possible distinct biology of pregnancy-associated breast cancer, the most frequent cancer type in pregnancy. The research approach includes large-scale clinical follow-up studies along with laboratory studies on patient biomaterials, including pharmacological investigations and RNA-sequencing studies. Complementary to these studies is research track ‘placenta’ in which cutting-edge models of human placental research are used to address the poorly understood physiological basis of the placental barrier function in this specific situation. This ambitious program will rely on a multidisciplinary team of experts. Not only may the scientific deliverables of this proposal constitute a major step forward to the well-being of both mother and fetus in a pregnancy complicated by cancer, the methodological approach may also provide critical impetus to further research in this field.
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-10-01, End date: 2020-09-30
Project acronym Ctrl-ImpAct
Project Control of impulsive action
Researcher (PI) Frederick Leon Julien VERBRUGGEN
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary Adaptive behaviour is typically attributed to an executive-control system that allows people to regulate impulsive actions and to fulfil long-term goals instead. Failures to regulate impulsive actions have been associated with a variety of clinical and behavioural disorders. Therefore, establishing a good understanding of impulse-control mechanisms and how to improve them could be hugely beneficial for both individuals and society at large. Yet many fundamental questions remain unanswered. This stems from a narrow focus on reactive inhibitory control and well-practiced actions. To make significant progress, we need to develop new models that integrate different aspects of impulsive action and executive control. The proposed research program aims to answer five fundamental questions. (1) Can novel impulsive actions arise during task-preparation stages?; (2) What is the role of negative emotions in the origin and control of impulsive actions?; (3) How does learning modulate impulsive behaviour?; (4) When are impulsive actions (dys)functional?; and (5) How is variation in state impulsivity associated with trait impulsivity?
To answer these questions, we will use carefully designed behavioural paradigms, cognitive neuroscience techniques (TMS & EEG), physiological measures (e.g. facial EMG), and mathematical modelling of decision-making to specify the origin and control of impulsive actions. Our ultimate goal is to transform the impulsive action field by replacing the currently dominant ‘inhibitory control’ models of impulsive action with detailed multifaceted models that can explain impulsivity and control across time and space. Developing a new behavioural model of impulsive action will also contribute to a better understanding of the causes of individual differences in impulsivity and the many disorders associated with impulse-control deficits.
Summary
Adaptive behaviour is typically attributed to an executive-control system that allows people to regulate impulsive actions and to fulfil long-term goals instead. Failures to regulate impulsive actions have been associated with a variety of clinical and behavioural disorders. Therefore, establishing a good understanding of impulse-control mechanisms and how to improve them could be hugely beneficial for both individuals and society at large. Yet many fundamental questions remain unanswered. This stems from a narrow focus on reactive inhibitory control and well-practiced actions. To make significant progress, we need to develop new models that integrate different aspects of impulsive action and executive control. The proposed research program aims to answer five fundamental questions. (1) Can novel impulsive actions arise during task-preparation stages?; (2) What is the role of negative emotions in the origin and control of impulsive actions?; (3) How does learning modulate impulsive behaviour?; (4) When are impulsive actions (dys)functional?; and (5) How is variation in state impulsivity associated with trait impulsivity?
To answer these questions, we will use carefully designed behavioural paradigms, cognitive neuroscience techniques (TMS & EEG), physiological measures (e.g. facial EMG), and mathematical modelling of decision-making to specify the origin and control of impulsive actions. Our ultimate goal is to transform the impulsive action field by replacing the currently dominant ‘inhibitory control’ models of impulsive action with detailed multifaceted models that can explain impulsivity and control across time and space. Developing a new behavioural model of impulsive action will also contribute to a better understanding of the causes of individual differences in impulsivity and the many disorders associated with impulse-control deficits.
Max ERC Funding
1 998 438 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym CULTIVATE MSS
Project Cultural Values and the International Trade in Medieval European Manuscripts, c. 1900-1945
Researcher (PI) Laura Janet CLEAVER
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), SH5, ERC-2018-COG
Summary CULTIVATE MSS aims to assess the significance of the trade in medieval manuscripts for the development of ideas about the nature and value of European culture in the early 20th century, a crucial period for the development of modern European nation states. Although recent technological developments have facilitated quantitative analyses of provenance data, charting in increasing detail the early-20th-century movement of manuscripts, including an exodus of works to America, qualitative analyses have failed to keep pace, leaving questions of how and why particular books were valued underexplored. The PI’s role in the development of the Schoenberg Database of Manuscripts, which has begun to make available historic data about books, has revealed the need for a reassessment of the relationship between collecting and scholarship, and the potential for existing data about the manuscript trade to be used, with unpublished archival sources, to identify and compare the economic and philosophical values projected onto books. Thus the project uses the PI’s expertise to develop a multi-disciplinary approach to assess the roles of collectors, scholars and dealers in the formation of collections of medieval manuscripts, and the impact of this on scholarship, comparing the English-speaking world, France and Germany. It will analyse published and unpublished accounts of manuscripts, together with price data, to reconstruct values projected onto books. It will seek to contextualise these values within the history of the early 20th century, assessing the impact of two world wars and other political and economic shifts on the trade in books and attitudes to manuscripts as objects of national significance. The Middle Ages are often identified with the emergence of European cultural identities, thus a reappraisal of the historiography of the study of medieval manuscripts has the potential to impact research about attitudes to European culture and identity in a wide range of disciplines.
Summary
CULTIVATE MSS aims to assess the significance of the trade in medieval manuscripts for the development of ideas about the nature and value of European culture in the early 20th century, a crucial period for the development of modern European nation states. Although recent technological developments have facilitated quantitative analyses of provenance data, charting in increasing detail the early-20th-century movement of manuscripts, including an exodus of works to America, qualitative analyses have failed to keep pace, leaving questions of how and why particular books were valued underexplored. The PI’s role in the development of the Schoenberg Database of Manuscripts, which has begun to make available historic data about books, has revealed the need for a reassessment of the relationship between collecting and scholarship, and the potential for existing data about the manuscript trade to be used, with unpublished archival sources, to identify and compare the economic and philosophical values projected onto books. Thus the project uses the PI’s expertise to develop a multi-disciplinary approach to assess the roles of collectors, scholars and dealers in the formation of collections of medieval manuscripts, and the impact of this on scholarship, comparing the English-speaking world, France and Germany. It will analyse published and unpublished accounts of manuscripts, together with price data, to reconstruct values projected onto books. It will seek to contextualise these values within the history of the early 20th century, assessing the impact of two world wars and other political and economic shifts on the trade in books and attitudes to manuscripts as objects of national significance. The Middle Ages are often identified with the emergence of European cultural identities, thus a reappraisal of the historiography of the study of medieval manuscripts has the potential to impact research about attitudes to European culture and identity in a wide range of disciplines.
Max ERC Funding
1 832 711 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym CUREORCURSE
Project Non-elected politics.Cure or Curse for the Crisis of Representative Democracy?
Researcher (PI) Jean-Benoit PILET
Host Institution (HI) UNIVERSITE LIBRE DE BRUXELLES
Call Details Consolidator Grant (CoG), SH2, ERC-2017-COG
Summary Evidence of a growing disengagement of citizens from politics is multiplying. Electoral turnout reaches historically low levels. Anti-establishment and populist parties are on the rise. Fewer and fewer Europeans trust their representative institutions. In response, we have observed a multiplication of institutional reforms aimed at revitalizing representative democracy. Two in particular stand out: the delegation of some political decision-making powers to (1) selected citizens and to (2) selected experts. But there is a paradox in attempting to cure the crisis of representative democracy by introducing such reforms. In representative democracy, control over political decision-making is vested in elected representatives. Delegating political decision-making to selected experts/citizens is at odds with this definition. It empowers the non-elected. If these reforms show that politics could work without elected officials, could we really expect that citizens’ support for representative democracy would be boosted and that citizens would re-engage with representative politics? In that sense, would it be a cure for the crisis of representative democracy, or rather a curse? Our central hypothesis is that there is no universal and univocal healing (or harming) effect of non-elected politics on support for representative democracy. In order to verify it, I propose to collect data across Europe on three elements: (1) a detailed study of the preferences of Europeans on how democracy should work and on institutional reforms towards non-elected politics, (2) a comprehensive inventory of all actual cases of empowerment of citizens and experts implemented across Europe since 2000, and (3) an analysis of the impact of exposure to non-elected politics on citizens’ attitudes towards representative democracy. An innovative combination of online survey experiments and of panel surveys will be used to answer this topical research question with far-reaching societal implication.
Summary
Evidence of a growing disengagement of citizens from politics is multiplying. Electoral turnout reaches historically low levels. Anti-establishment and populist parties are on the rise. Fewer and fewer Europeans trust their representative institutions. In response, we have observed a multiplication of institutional reforms aimed at revitalizing representative democracy. Two in particular stand out: the delegation of some political decision-making powers to (1) selected citizens and to (2) selected experts. But there is a paradox in attempting to cure the crisis of representative democracy by introducing such reforms. In representative democracy, control over political decision-making is vested in elected representatives. Delegating political decision-making to selected experts/citizens is at odds with this definition. It empowers the non-elected. If these reforms show that politics could work without elected officials, could we really expect that citizens’ support for representative democracy would be boosted and that citizens would re-engage with representative politics? In that sense, would it be a cure for the crisis of representative democracy, or rather a curse? Our central hypothesis is that there is no universal and univocal healing (or harming) effect of non-elected politics on support for representative democracy. In order to verify it, I propose to collect data across Europe on three elements: (1) a detailed study of the preferences of Europeans on how democracy should work and on institutional reforms towards non-elected politics, (2) a comprehensive inventory of all actual cases of empowerment of citizens and experts implemented across Europe since 2000, and (3) an analysis of the impact of exposure to non-elected politics on citizens’ attitudes towards representative democracy. An innovative combination of online survey experiments and of panel surveys will be used to answer this topical research question with far-reaching societal implication.
Max ERC Funding
1 981 589 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym CutLoops
Project Loop amplitudes in quantum field theory
Researcher (PI) Ruth Britto
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), PE2, ERC-2014-CoG
Summary The traditional formulation of relativistic quantum theory is ill-equipped to handle the range of difficult computations needed to describe particle collisions at the Large Hadron Collider (LHC) within a suitable time frame. Yet, recent work shows that probability amplitudes in quantum gauge field theories, such as those describing the Standard Model and its extensions, take surprisingly simple forms. The simplicity indicates deep structure in gauge theory that has already led to dramatic computational improvements, but remains to be fully understood. For precision calculations and investigations of the deep structure of gauge theory, a comprehensive method for computing multi-loop amplitudes systematically and efficiently must be found.
The goal of this proposal is to construct a new and complete approach to computing amplitudes from a detailed understanding of their singularities, based on prior successes of so-called on-shell methods combined with the latest developments in the mathematics of Feynman integrals. Scattering processes relevant to the LHC and to formal investigations of quantum field theory will be computed within the new framework.
Summary
The traditional formulation of relativistic quantum theory is ill-equipped to handle the range of difficult computations needed to describe particle collisions at the Large Hadron Collider (LHC) within a suitable time frame. Yet, recent work shows that probability amplitudes in quantum gauge field theories, such as those describing the Standard Model and its extensions, take surprisingly simple forms. The simplicity indicates deep structure in gauge theory that has already led to dramatic computational improvements, but remains to be fully understood. For precision calculations and investigations of the deep structure of gauge theory, a comprehensive method for computing multi-loop amplitudes systematically and efficiently must be found.
The goal of this proposal is to construct a new and complete approach to computing amplitudes from a detailed understanding of their singularities, based on prior successes of so-called on-shell methods combined with the latest developments in the mathematics of Feynman integrals. Scattering processes relevant to the LHC and to formal investigations of quantum field theory will be computed within the new framework.
Max ERC Funding
1 954 065 €
Duration
Start date: 2015-10-01, End date: 2020-09-30
Project acronym DBSModel
Project Multiscale Modelling of the Neuromuscular System for Closed Loop Deep Brain Stimulation
Researcher (PI) Madeleine Mary Lowery
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Consolidator Grant (CoG), PE7, ERC-2014-CoG
Summary Deep brain stimulation (DBS) is an effective therapy for treating the symptoms of Parkinson’s disease (PD). Despite its success, the mechanisms of DBS are not understood and there is a need to improve DBS to improve long-term stimulation in a wider patient population, limit side-effects, and extend battery life. Currently DBS operates in ‘open-loop’, with stimulus parameters empirically set. Closed-loop DBS, which adjusts parameters based on the state of the system, has the potential to overcome current limitations to increase therapeutic efficacy while reducing side-effects, costs and energy. Several key questions need to be addressed before closed loop DBS can be implemented clinically.
This research will develop a new multiscale model of the neuromuscular system for closed-loop DBS. The model will simulate neural sensing and stimulation on a scale not previously considered, encompassing the electric field around the electrode, the effect on individual neurons and neural networks, and generation of muscle force. This will involve integration across multiple temporal and spatial scales, in a complex system with incomplete knowledge of system variables. Experiments will be conducted to validate the model, and identify new biomarkers of neural activity that can used with signals from the brain to enable continuous symptom monitoring. The model will be used to design a new control strategy for closed-loop DBS that can accommodate the nonlinear nature of the system, and short- and long-term changes in system behavior.
Though challenging, this research will provide new insights into the changes that take place in PD and the mechanisms by which DBS exerts its therapeutic influence. This knowledge will be used to design a new strategy for closed-loop DBS, ready for testing in patients, with the potential to significantly improve patient outcomes in PD and fundamentally change the way in which implanted devices utilise electrical stimulation to modulate neural activity.
Summary
Deep brain stimulation (DBS) is an effective therapy for treating the symptoms of Parkinson’s disease (PD). Despite its success, the mechanisms of DBS are not understood and there is a need to improve DBS to improve long-term stimulation in a wider patient population, limit side-effects, and extend battery life. Currently DBS operates in ‘open-loop’, with stimulus parameters empirically set. Closed-loop DBS, which adjusts parameters based on the state of the system, has the potential to overcome current limitations to increase therapeutic efficacy while reducing side-effects, costs and energy. Several key questions need to be addressed before closed loop DBS can be implemented clinically.
This research will develop a new multiscale model of the neuromuscular system for closed-loop DBS. The model will simulate neural sensing and stimulation on a scale not previously considered, encompassing the electric field around the electrode, the effect on individual neurons and neural networks, and generation of muscle force. This will involve integration across multiple temporal and spatial scales, in a complex system with incomplete knowledge of system variables. Experiments will be conducted to validate the model, and identify new biomarkers of neural activity that can used with signals from the brain to enable continuous symptom monitoring. The model will be used to design a new control strategy for closed-loop DBS that can accommodate the nonlinear nature of the system, and short- and long-term changes in system behavior.
Though challenging, this research will provide new insights into the changes that take place in PD and the mechanisms by which DBS exerts its therapeutic influence. This knowledge will be used to design a new strategy for closed-loop DBS, ready for testing in patients, with the potential to significantly improve patient outcomes in PD and fundamentally change the way in which implanted devices utilise electrical stimulation to modulate neural activity.
Max ERC Funding
1 999 474 €
Duration
Start date: 2015-08-01, End date: 2020-07-31
Project acronym DC_Nutrient
Project Investigating nutrients as key determinants of DC-induced CD8 T cell responses
Researcher (PI) David FINLAY
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), LS6, ERC-2017-COG
Summary A new immunoregulatory axis has emerged in recent years demonstrating that cellular metabolism is crucial in controlling immune responses. This regulatory axis is acutely sensitive to nutrients that fuel metabolic pathways and support nutrient sensitive signalling pathways. My recent research demonstrates that nutrients are dynamically controlled and are not equally available to all immune cells. The data shows that activated T cells, clustered around a dendritic cell (DC), can consume the available nutrients, leaving the DC nutrient deprived in vitro. This local regulation of the DC nutrient microenvironment by neighbouring cells has profound effects on DC function and T cell responses. Nutrient deprived DC have altered signalling (decreased mTORC1 activity), increased pro-inflammatory functions (IL12 and costimulatory molecule expression) and induce enhanced T cell responses (proliferation, IFNγ production). However, proving this, particularly in vivo, is a major challenge as the tools to investigate nutrient dynamics within complex microenvironments have not yet been developed. This research programme will generate innovative new technologies to measure the local distribution of glucose, glutamine and leucine (all of which control mTORC1 signalling) to be visualised and quantified. These technologies will pioneer a new era of in vivo nutrient analysis. Nutrient deprivation of antigen presenting DC will then be investigated (using our new technologies) in response to various stimuli within the inflammatory lymph node and correlated to CD8 T cell responses. We will generate state-of-the-art transgenic mice to specifically knock-down nutrient transporters for glucose, glutamine, or leucine in DC to definitively prove that the availability of these nutrients to antigen presenting DC is a key mechanism for controlling CD8 T cells responses. This would be a paradigm shifting discovery that would open new horizons for the study of nutrient-regulated immune responses.
Summary
A new immunoregulatory axis has emerged in recent years demonstrating that cellular metabolism is crucial in controlling immune responses. This regulatory axis is acutely sensitive to nutrients that fuel metabolic pathways and support nutrient sensitive signalling pathways. My recent research demonstrates that nutrients are dynamically controlled and are not equally available to all immune cells. The data shows that activated T cells, clustered around a dendritic cell (DC), can consume the available nutrients, leaving the DC nutrient deprived in vitro. This local regulation of the DC nutrient microenvironment by neighbouring cells has profound effects on DC function and T cell responses. Nutrient deprived DC have altered signalling (decreased mTORC1 activity), increased pro-inflammatory functions (IL12 and costimulatory molecule expression) and induce enhanced T cell responses (proliferation, IFNγ production). However, proving this, particularly in vivo, is a major challenge as the tools to investigate nutrient dynamics within complex microenvironments have not yet been developed. This research programme will generate innovative new technologies to measure the local distribution of glucose, glutamine and leucine (all of which control mTORC1 signalling) to be visualised and quantified. These technologies will pioneer a new era of in vivo nutrient analysis. Nutrient deprivation of antigen presenting DC will then be investigated (using our new technologies) in response to various stimuli within the inflammatory lymph node and correlated to CD8 T cell responses. We will generate state-of-the-art transgenic mice to specifically knock-down nutrient transporters for glucose, glutamine, or leucine in DC to definitively prove that the availability of these nutrients to antigen presenting DC is a key mechanism for controlling CD8 T cells responses. This would be a paradigm shifting discovery that would open new horizons for the study of nutrient-regulated immune responses.
Max ERC Funding
1 995 861 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym DCRIDDLE
Project A novel physiological role for IRE1 and RIDD..., maintaining the balance between tolerance and immunity?
Researcher (PI) Sophie Janssens
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS3, ERC-2018-COG
Summary Dendritic cells (DCs) play a crucial role as gatekeepers of the immune system, coordinating the balance between protective immunity and tolerance to self antigens. What determines the switch between immunogenic versus tolerogenic antigen presentation remains one of the most puzzling questions in immunology. My team recently discovered an unanticipated link between a conserved stress response in the endoplasmic reticulum (ER) and tolerogenic DC maturation, thereby setting the stage for new insights in this fundamental branch in immunology.
Specifically, we found that one of the branches of the unfolded protein response (UPR), the IRE1/XBP1 signaling axis, is constitutively active in murine dendritic cells (cDC1s), without any signs of an overt UPR gene signature. Based on preliminary data we hypothesize that IRE1 is activated by apoptotic cell uptake, orchestrating a metabolic response from the ER to ensure tolerogenic antigen presentation. This entirely novel physiological function for IRE1 entails a paradigm shift in the UPR field, as it reveals that IRE1’s functions might stretch far from its well-established function induced by chronic ER stress. The aim of my research program is to establish whether IRE1 in DCs is the hitherto illusive switch between tolerogenic and immunogenic maturation. To this end, we will dissect its function in vivo both in steady-state conditions and in conditions of danger (viral infection models). In line with our data, IRE1 has recently been identified as a candidate gene for autoimmune disease based on Genome Wide Association Studies (GWAS). Therefore, I envisage that my research program will not only have a large impact on the field of DC biology and apoptotic cell clearance, but will also yield new insights in diseases like autoimmunity, graft versus host disease or tumor immunology, all associated with disturbed balances between tolerogenic and immunogenic responses.
Summary
Dendritic cells (DCs) play a crucial role as gatekeepers of the immune system, coordinating the balance between protective immunity and tolerance to self antigens. What determines the switch between immunogenic versus tolerogenic antigen presentation remains one of the most puzzling questions in immunology. My team recently discovered an unanticipated link between a conserved stress response in the endoplasmic reticulum (ER) and tolerogenic DC maturation, thereby setting the stage for new insights in this fundamental branch in immunology.
Specifically, we found that one of the branches of the unfolded protein response (UPR), the IRE1/XBP1 signaling axis, is constitutively active in murine dendritic cells (cDC1s), without any signs of an overt UPR gene signature. Based on preliminary data we hypothesize that IRE1 is activated by apoptotic cell uptake, orchestrating a metabolic response from the ER to ensure tolerogenic antigen presentation. This entirely novel physiological function for IRE1 entails a paradigm shift in the UPR field, as it reveals that IRE1’s functions might stretch far from its well-established function induced by chronic ER stress. The aim of my research program is to establish whether IRE1 in DCs is the hitherto illusive switch between tolerogenic and immunogenic maturation. To this end, we will dissect its function in vivo both in steady-state conditions and in conditions of danger (viral infection models). In line with our data, IRE1 has recently been identified as a candidate gene for autoimmune disease based on Genome Wide Association Studies (GWAS). Therefore, I envisage that my research program will not only have a large impact on the field of DC biology and apoptotic cell clearance, but will also yield new insights in diseases like autoimmunity, graft versus host disease or tumor immunology, all associated with disturbed balances between tolerogenic and immunogenic responses.
Max ERC Funding
1 999 196 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym DEMIURGE
Project Automatic Design of Robot Swarms
Researcher (PI) Mauro Birattari
Host Institution (HI) UNIVERSITE LIBRE DE BRUXELLES
Call Details Consolidator Grant (CoG), PE6, ERC-2015-CoG
Summary The scope of this project is the automatic design of robot swarms. Swarm robotics is an appealing approach to the coordination of large groups of robots. Up to now, robot swarms have been designed via some labor-intensive process.
My goal is to advance the state of the art in swarm robotics by developing the DEMIURGE: an intelligent system that is able to design and realize robot swarms in a totally integrated and automatic way
The DEMIURGE is a novel concept. Starting from requirements expressed in a specification language that I will define, the DEMIURGE will design all aspects of a robot swarm - hardware and control software.
The DEMIURGE will cast a design problem into an optimization problem and will tackle it in a computation-intensive way. In this project, I will study different control software structures, optimization algorithms, ways to specify requirements, validation protocols, on-line adaptation mechanisms and techniques for re-design at run time.
Summary
The scope of this project is the automatic design of robot swarms. Swarm robotics is an appealing approach to the coordination of large groups of robots. Up to now, robot swarms have been designed via some labor-intensive process.
My goal is to advance the state of the art in swarm robotics by developing the DEMIURGE: an intelligent system that is able to design and realize robot swarms in a totally integrated and automatic way
The DEMIURGE is a novel concept. Starting from requirements expressed in a specification language that I will define, the DEMIURGE will design all aspects of a robot swarm - hardware and control software.
The DEMIURGE will cast a design problem into an optimization problem and will tackle it in a computation-intensive way. In this project, I will study different control software structures, optimization algorithms, ways to specify requirements, validation protocols, on-line adaptation mechanisms and techniques for re-design at run time.
Max ERC Funding
2 000 000 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym DOUBLE EXPRESS
Project Gene expression level as a keystone to understanding gene duplication: evolutionary constraints, opportunities, and disease
Researcher (PI) Aoife MCLYSAGHT
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), LS8, ERC-2017-COG
Summary Duplicate genes are important in disease, are a hugely important source of evolutionary novelty, and for many years we thought we understood them. We thought that duplication relieved selective constraints. We thought that gene knockout neutrality was due to redundancy. We thought that a duplicate is a duplicate is a duplicate. Evidence is accumulating challenging each of these views. Rather than being the result of an unbiased process, the genes that tend to duplicate in our genome and others are quickly evolving, non-essential genes, irrespective of current duplication status. Conversely, genes retained after whole genome duplication (WGD) are slowly evolving, important genes.
I propose that different resolution of the evolutionary constraints imposed by the demands of gene expression can explain these contrasting relationships. I propose that the opposing constraints on gene-by-gene duplications as compared to WGD channel these different sets of genes into remarkably different evolutionary trajectories. In particular, in much the same way that individual gene duplication creates an opportunity for the evolution of a new gene, the co-evolution of expression of sets of interacting genes after WGD creates an opportunity for the evolution of new biochemical pathways and protein complexes. Furthermore, I suggest a common mechanism of pathogenicity for many duplication events independent of the biochemical function of the encoded genes.
With the availability of abundant high-quality genomics data, now is an opportune time to address these questions. Primarily through computational and statistical analysis I will reveal the relationship between gene duplication and expression and test a model that the indirect costs of gene expression are a major determinant of the outcome of gene duplication. I will explore the effects this has on gene and genome evolution. Finally, I will link the patterns of gene expression and duplicability to pathogenic effects.
Summary
Duplicate genes are important in disease, are a hugely important source of evolutionary novelty, and for many years we thought we understood them. We thought that duplication relieved selective constraints. We thought that gene knockout neutrality was due to redundancy. We thought that a duplicate is a duplicate is a duplicate. Evidence is accumulating challenging each of these views. Rather than being the result of an unbiased process, the genes that tend to duplicate in our genome and others are quickly evolving, non-essential genes, irrespective of current duplication status. Conversely, genes retained after whole genome duplication (WGD) are slowly evolving, important genes.
I propose that different resolution of the evolutionary constraints imposed by the demands of gene expression can explain these contrasting relationships. I propose that the opposing constraints on gene-by-gene duplications as compared to WGD channel these different sets of genes into remarkably different evolutionary trajectories. In particular, in much the same way that individual gene duplication creates an opportunity for the evolution of a new gene, the co-evolution of expression of sets of interacting genes after WGD creates an opportunity for the evolution of new biochemical pathways and protein complexes. Furthermore, I suggest a common mechanism of pathogenicity for many duplication events independent of the biochemical function of the encoded genes.
With the availability of abundant high-quality genomics data, now is an opportune time to address these questions. Primarily through computational and statistical analysis I will reveal the relationship between gene duplication and expression and test a model that the indirect costs of gene expression are a major determinant of the outcome of gene duplication. I will explore the effects this has on gene and genome evolution. Finally, I will link the patterns of gene expression and duplicability to pathogenic effects.
Max ERC Funding
1 824 794 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym DYNPOR
Project First principle molecular dynamics simulations for complex chemical transformations in nanoporous materials
Researcher (PI) Véronique Van Speybroeck
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), PE4, ERC-2014-CoG
Summary Chemical transformations in nanoporous materials are vital in many application domains, such as catalysis, molecular separations, sustainable chemistry,…. Model-guided design is indispensable to tailoring materials at the nanometer scale level.
At real operating conditions, chemical transformations taking place at the nanometer scale have a very complex nature, due to the interplay of several factors such as the number of particles present in the pores of the material, framework flexibility, competitive pathways, entropy effects,… The textbook concept of a single transition state is far too simplistic in such cases. A restricted number of configurations of the potential energy surface is not sufficient to capture the complexity of the transformation.
My objective is to simulate complex chemical transformations in nanoporous materials using first principle molecular dynamics methods at real operating conditions, capturing the full complexity of the free energy surface. To achieve these goals advanced sampling methods will be used to explore the interesting regions of the free energy surface. The number of guest molecules at real operating conditions will be derived and the diffusion of small molecules through pores with blocking molecules will be studied. New theoretical models will be developed to keep track of both the framework flexibility and entropy of the lattice.
The selected applications are timely and rely on an extensive network with prominent experimental partners. The applications will encompass contemporary catalytic conversions in zeolites, active site engineering in metal organic frameworks and structural transitions in nanoporous materials, and the expected outcomes will have the potential to yield groundbreaking new insights.
The results are expected to have impact far beyond the horizon of the current project as they will contribute to the transition from static to dynamically based modeling tools within heterogeneous catalysis
Summary
Chemical transformations in nanoporous materials are vital in many application domains, such as catalysis, molecular separations, sustainable chemistry,…. Model-guided design is indispensable to tailoring materials at the nanometer scale level.
At real operating conditions, chemical transformations taking place at the nanometer scale have a very complex nature, due to the interplay of several factors such as the number of particles present in the pores of the material, framework flexibility, competitive pathways, entropy effects,… The textbook concept of a single transition state is far too simplistic in such cases. A restricted number of configurations of the potential energy surface is not sufficient to capture the complexity of the transformation.
My objective is to simulate complex chemical transformations in nanoporous materials using first principle molecular dynamics methods at real operating conditions, capturing the full complexity of the free energy surface. To achieve these goals advanced sampling methods will be used to explore the interesting regions of the free energy surface. The number of guest molecules at real operating conditions will be derived and the diffusion of small molecules through pores with blocking molecules will be studied. New theoretical models will be developed to keep track of both the framework flexibility and entropy of the lattice.
The selected applications are timely and rely on an extensive network with prominent experimental partners. The applications will encompass contemporary catalytic conversions in zeolites, active site engineering in metal organic frameworks and structural transitions in nanoporous materials, and the expected outcomes will have the potential to yield groundbreaking new insights.
The results are expected to have impact far beyond the horizon of the current project as they will contribute to the transition from static to dynamically based modeling tools within heterogeneous catalysis
Max ERC Funding
1 993 750 €
Duration
Start date: 2015-08-01, End date: 2020-07-31
Project acronym EPIC
Project Earth-like Planet Imaging with Cognitive computing
Researcher (PI) Olivier ABSIL
Host Institution (HI) UNIVERSITE DE LIEGE
Call Details Consolidator Grant (CoG), PE9, ERC-2018-COG
Summary One of the most ambitious goals of modern astrophysics is to characterise the physical and chemical properties of rocky planets orbiting in the habitable zone of nearby Sun-like stars. Although the observation of planetary transits could in a few limited cases be used to reach such a goal, it is widely recognised that only direct imaging techniques will enable such a feat on a statistically significant sample of planetary systems. Direct imaging of Earth-like exoplanets is however a formidable challenge due to the huge contrast and minute angular separation between such planets and their host star. The proposed EPIC project aims to enable the direct detection and characterisation of terrestrial planets located in the habitable zone of nearby stars using ground-based high-contrast imaging in the thermal infrared domain. To reach that ambitious goal, the project will focus on two main research directions: (i) the development and implementation of high-contrast imaging techniques and technologies addressing the smallest possible angular separations from bright, nearby stars, and (ii) the adaptation of state-of-the-art machine learning techniques to the problem of image processing in high-contrast imaging. While the ultimate goal of this research can likely only be reached with the advent of giant telescopes such as the Extremely Large Telescope (ELT) around 2025, the EPIC project will lay the stepping stones towards that goal and produce several high-impact results along the way, e.g. by re-assessing the occurrence rate of giant planets in direct imaging surveys at the most relevant angular separations (i.e., close to the snow line), by conducting the deepest high-contrast imaging search for rocky planets in the alpha Centauri system, by preparing the scientific exploitation of the ELT, and by providing the first open-source high-contrast image processing toolbox relying on supervised machine learning techniques.
Summary
One of the most ambitious goals of modern astrophysics is to characterise the physical and chemical properties of rocky planets orbiting in the habitable zone of nearby Sun-like stars. Although the observation of planetary transits could in a few limited cases be used to reach such a goal, it is widely recognised that only direct imaging techniques will enable such a feat on a statistically significant sample of planetary systems. Direct imaging of Earth-like exoplanets is however a formidable challenge due to the huge contrast and minute angular separation between such planets and their host star. The proposed EPIC project aims to enable the direct detection and characterisation of terrestrial planets located in the habitable zone of nearby stars using ground-based high-contrast imaging in the thermal infrared domain. To reach that ambitious goal, the project will focus on two main research directions: (i) the development and implementation of high-contrast imaging techniques and technologies addressing the smallest possible angular separations from bright, nearby stars, and (ii) the adaptation of state-of-the-art machine learning techniques to the problem of image processing in high-contrast imaging. While the ultimate goal of this research can likely only be reached with the advent of giant telescopes such as the Extremely Large Telescope (ELT) around 2025, the EPIC project will lay the stepping stones towards that goal and produce several high-impact results along the way, e.g. by re-assessing the occurrence rate of giant planets in direct imaging surveys at the most relevant angular separations (i.e., close to the snow line), by conducting the deepest high-contrast imaging search for rocky planets in the alpha Centauri system, by preparing the scientific exploitation of the ELT, and by providing the first open-source high-contrast image processing toolbox relying on supervised machine learning techniques.
Max ERC Funding
2 178 125 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym European Unions
Project Labour Politics and the EU's New Economic Governance Regime
Researcher (PI) Roland ERNE
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Consolidator Grant (CoG), SH2, ERC-2016-COG
Summary Trade unions play a major role in democratic interest intermediation. This role is currently threatened by the increasingly authoritarian strain in EU’s new economic governance (NEG). This project aims to explore the challenges and possibilities that the NEG poses to labour politics. Until recently, European labour politics has mainly been shaped by horizontal market integration through the free movement of goods, capital, services and people. After the financial crisis, the latter has been complemented by vertical integration effected through the direct surveillance of member states. The resulting NEG opens contradictory possibilities for labour movements in Europe.
On the one hand, the reliance of the NEG on vertical surveillance makes decisions taken in its name more tangible, offering concrete targets for contentious transnational collective action. On the other hand however, the NEG mimics the governance structures of multinational firms, by using key performance indicators that put countries in competition with one another. This constitutes a deterrent to transnational collective action. The NEG’s interventionist and competitive strains also pose the threat of nationalist counter-movements, thus making European collective action ever more vital for the future of EU integration and democracy.
This project has the following objectives:
1. To understand the interrelation between NEG and existing ‘horizontal’ EU economic governance; and the shifts in labour politics triggered by NEG;
2. To open up novel analytical approaches that are able to capture both national and transnational social processes at work;
3. To analyse the responses of established trade unions and new social movements to NEG in selected subject areas and economic sectors at national and EU levels, and their feedback effects on NEG;
4. To develop a new scientific paradigm capable of accounting for the interplay between EU economic governance, labour politics and EU democracy.
Summary
Trade unions play a major role in democratic interest intermediation. This role is currently threatened by the increasingly authoritarian strain in EU’s new economic governance (NEG). This project aims to explore the challenges and possibilities that the NEG poses to labour politics. Until recently, European labour politics has mainly been shaped by horizontal market integration through the free movement of goods, capital, services and people. After the financial crisis, the latter has been complemented by vertical integration effected through the direct surveillance of member states. The resulting NEG opens contradictory possibilities for labour movements in Europe.
On the one hand, the reliance of the NEG on vertical surveillance makes decisions taken in its name more tangible, offering concrete targets for contentious transnational collective action. On the other hand however, the NEG mimics the governance structures of multinational firms, by using key performance indicators that put countries in competition with one another. This constitutes a deterrent to transnational collective action. The NEG’s interventionist and competitive strains also pose the threat of nationalist counter-movements, thus making European collective action ever more vital for the future of EU integration and democracy.
This project has the following objectives:
1. To understand the interrelation between NEG and existing ‘horizontal’ EU economic governance; and the shifts in labour politics triggered by NEG;
2. To open up novel analytical approaches that are able to capture both national and transnational social processes at work;
3. To analyse the responses of established trade unions and new social movements to NEG in selected subject areas and economic sectors at national and EU levels, and their feedback effects on NEG;
4. To develop a new scientific paradigm capable of accounting for the interplay between EU economic governance, labour politics and EU democracy.
Max ERC Funding
1 997 132 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym EVOLECOCOG
Project The evolutionary ecology of cognition across a heterogeneous landscape
Researcher (PI) John Leo Quinn
Host Institution (HI) UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
Call Details Consolidator Grant (CoG), LS8, ERC-2013-CoG
Summary "Why do individuals vary in their cognitive abilities? This proposal takes the disciplines of cognition and evolutionary biology into a natural setting to answer this question by investigating a variety of proximate causes and population-level consequences of individual variation in cognitive ability. It represents the first large-scale integrative study of cognitive ability on any wild population. State of the art observational (remote sensing and automated self-administration trials of learning in the wild), chemical (stable isotope analysis of diet), physiological (stress, energetics, immunocompetence), molecular (DNA fingerprinting and metabarcoding) and analytical (reaction norm, quantitative genetic) techniques will be used. The chosen study system, the great tit Parus major, is one of the most widely used in Europe, but uniquely here will consist of 12 subpopulations across deciduous and conifer woodland fragments. The proposal’s broad scope is captured in three objectives: 1) To characterise proximate causes of variation in cognitive (associative/reversal learning; problem solving; brain size) and other traits (the reactive-proactive personality axis; bill morphology), all of which can influence similar ecologically important behaviour. Quantitative genetic, social, parasite-mediated, and physiological causes will be explored. 2) To examine links between these traits, and key behaviours and trade-offs, e.g., space use, niche specialization, predation, parental care and promiscuity; and 3) To examine the consequences of this variation for life histories and fitness. The research team consists of the PI, five early career biologists, and three PhD students, and will collaborate with eight researchers from Europe and further afield. The project will reveal ground-breaking insight into why individuals vary in their cognitive ability. It aims to impact a wide scientific community, to raise public interest in science, and to inform EU biodiversity policy."
Summary
"Why do individuals vary in their cognitive abilities? This proposal takes the disciplines of cognition and evolutionary biology into a natural setting to answer this question by investigating a variety of proximate causes and population-level consequences of individual variation in cognitive ability. It represents the first large-scale integrative study of cognitive ability on any wild population. State of the art observational (remote sensing and automated self-administration trials of learning in the wild), chemical (stable isotope analysis of diet), physiological (stress, energetics, immunocompetence), molecular (DNA fingerprinting and metabarcoding) and analytical (reaction norm, quantitative genetic) techniques will be used. The chosen study system, the great tit Parus major, is one of the most widely used in Europe, but uniquely here will consist of 12 subpopulations across deciduous and conifer woodland fragments. The proposal’s broad scope is captured in three objectives: 1) To characterise proximate causes of variation in cognitive (associative/reversal learning; problem solving; brain size) and other traits (the reactive-proactive personality axis; bill morphology), all of which can influence similar ecologically important behaviour. Quantitative genetic, social, parasite-mediated, and physiological causes will be explored. 2) To examine links between these traits, and key behaviours and trade-offs, e.g., space use, niche specialization, predation, parental care and promiscuity; and 3) To examine the consequences of this variation for life histories and fitness. The research team consists of the PI, five early career biologists, and three PhD students, and will collaborate with eight researchers from Europe and further afield. The project will reveal ground-breaking insight into why individuals vary in their cognitive ability. It aims to impact a wide scientific community, to raise public interest in science, and to inform EU biodiversity policy."
Max ERC Funding
1 993 189 €
Duration
Start date: 2015-03-01, End date: 2020-12-31
Project acronym EXPAND
Project Defining the cellular dynamics leading to tissue expansion
Researcher (PI) Cedric Blanpain
Host Institution (HI) UNIVERSITE LIBRE DE BRUXELLES
Call Details Consolidator Grant (CoG), LS3, ERC-2013-CoG
Summary Stem cells (SCs) ensure the development of the different tissues during morphogenesis, their physiological turnover during adult life and tissue repair after injuries. .
Our lab has recently developed new methods to study by lineage tracing the cellular hierarchy that sustains homeostasis and repair of the epidermis and to identify distinct populations of SCs and progenitors ensuring mammary gland and prostate postnatal development.
While quantitative clonal analysis combined with mathematical modeling has been used recently to decipher the cellular basis of tissue homeostasis, such experimental approaches have never been used so far in mammals to investigate the cellular hierarchy acting during tissue expansion such as postnatal development and tissue repair.
In this project, we will use a multi-disciplinary approach combining mouse genetic lineage tracing and clonal analysis, mathematical modeling, proliferation kinetics, transcriptional profiling, and functional experiments to investigate the cellular and molecular mechanisms regulating tissue expansion during epithelial development and tissue repair and how the fate of these cells is controlled during this process.
1. We will define the clonal and proliferation dynamics of tissue expansion in the epidermis, the mammary gland and the prostate during postnatal growth and adult tissue regeneration.
2. We will define the clonal and proliferation dynamics of tissue expansion in the adult epidermis following wounding and mechanical force mediated tissue expansion.
3. We will define the mechanisms that regulate the switch from multipotent to unipotent cell fate during development of glandular epithelia.
Defining the cellular and molecular mechanisms underlying tissue growth and expansion during development and how these mechanisms differ from tissue regeneration in adult may have important implications for understanding the causes of certain developmental defects and for regenerative medicine.
Summary
Stem cells (SCs) ensure the development of the different tissues during morphogenesis, their physiological turnover during adult life and tissue repair after injuries. .
Our lab has recently developed new methods to study by lineage tracing the cellular hierarchy that sustains homeostasis and repair of the epidermis and to identify distinct populations of SCs and progenitors ensuring mammary gland and prostate postnatal development.
While quantitative clonal analysis combined with mathematical modeling has been used recently to decipher the cellular basis of tissue homeostasis, such experimental approaches have never been used so far in mammals to investigate the cellular hierarchy acting during tissue expansion such as postnatal development and tissue repair.
In this project, we will use a multi-disciplinary approach combining mouse genetic lineage tracing and clonal analysis, mathematical modeling, proliferation kinetics, transcriptional profiling, and functional experiments to investigate the cellular and molecular mechanisms regulating tissue expansion during epithelial development and tissue repair and how the fate of these cells is controlled during this process.
1. We will define the clonal and proliferation dynamics of tissue expansion in the epidermis, the mammary gland and the prostate during postnatal growth and adult tissue regeneration.
2. We will define the clonal and proliferation dynamics of tissue expansion in the adult epidermis following wounding and mechanical force mediated tissue expansion.
3. We will define the mechanisms that regulate the switch from multipotent to unipotent cell fate during development of glandular epithelia.
Defining the cellular and molecular mechanisms underlying tissue growth and expansion during development and how these mechanisms differ from tissue regeneration in adult may have important implications for understanding the causes of certain developmental defects and for regenerative medicine.
Max ERC Funding
2 400 000 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym FHiCuNCAG
Project Foundations for Higher and Curved Noncommutative Algebraic Geometry
Researcher (PI) Wendy Joy Lowen
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Consolidator Grant (CoG), PE1, ERC-2018-COG
Summary With this research programme, inspired by open problems within noncommutative algebraic geometry (NCAG) as well as by actual developments in algebraic topology, it is our aim to lay out new foundations for NCAG. On the one hand, the categorical approach to geometry put forth in NCAG has seen a wide range of applications both in mathematics and in theoretical physics. On the other hand, algebraic topology has received a vast impetus from the development of higher topos theory by Lurie and others. The current project is aimed at cross-fertilisation between the two subjects, in particular through the development of “higher linear topos theory”. We will approach the higher structure on Hochschild type complexes from two angles. Firstly, focusing on intrinsic incarnations of spaces as large categories, we will use the tensor products developed jointly with Ramos González and Shoikhet to obtain a “large version” of the Deligne conjecture. Secondly, focusing on concrete representations, we will develop new operadic techniques in order to endow complexes like the Gerstenhaber-Schack complex for prestacks (due to Dinh Van-Lowen) and the deformation complexes for monoidal categories and pasting diagrams (due to Shrestha and Yetter) with new combinatorial structure. In another direction, we will move from Hochschild cohomology of abelian categories (in the sense of Lowen-Van den Bergh) to Mac Lane cohomology for exact categories (in the sense of Kaledin-Lowen), extending the scope of NCAG to “non-linear deformations”. One of the mysteries in algebraic deformation theory is the curvature problem: in the process of deformation we are brought to the boundaries of NCAG territory through the introduction of a curvature component which disables the standard approaches to cohomology. Eventually, it is our goal to set up a new framework for NCAG which incorporates curved objects, drawing inspiration from the realm of higher categories.
Summary
With this research programme, inspired by open problems within noncommutative algebraic geometry (NCAG) as well as by actual developments in algebraic topology, it is our aim to lay out new foundations for NCAG. On the one hand, the categorical approach to geometry put forth in NCAG has seen a wide range of applications both in mathematics and in theoretical physics. On the other hand, algebraic topology has received a vast impetus from the development of higher topos theory by Lurie and others. The current project is aimed at cross-fertilisation between the two subjects, in particular through the development of “higher linear topos theory”. We will approach the higher structure on Hochschild type complexes from two angles. Firstly, focusing on intrinsic incarnations of spaces as large categories, we will use the tensor products developed jointly with Ramos González and Shoikhet to obtain a “large version” of the Deligne conjecture. Secondly, focusing on concrete representations, we will develop new operadic techniques in order to endow complexes like the Gerstenhaber-Schack complex for prestacks (due to Dinh Van-Lowen) and the deformation complexes for monoidal categories and pasting diagrams (due to Shrestha and Yetter) with new combinatorial structure. In another direction, we will move from Hochschild cohomology of abelian categories (in the sense of Lowen-Van den Bergh) to Mac Lane cohomology for exact categories (in the sense of Kaledin-Lowen), extending the scope of NCAG to “non-linear deformations”. One of the mysteries in algebraic deformation theory is the curvature problem: in the process of deformation we are brought to the boundaries of NCAG territory through the introduction of a curvature component which disables the standard approaches to cohomology. Eventually, it is our goal to set up a new framework for NCAG which incorporates curved objects, drawing inspiration from the realm of higher categories.
Max ERC Funding
1 171 360 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym FIAT
Project The Foundations of Institutional AuThority: a multi-dimensional model of the separation of powers
Researcher (PI) Eoin CAROLAN
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Consolidator Grant (CoG), SH2, ERC-2018-COG
Summary ‘Almost three centuries later, it is past time to rethink Montesquieu’s holy trinity’ (Ackerman, 2010).
As Ackerman (and many others) have observed, political reality has long left the traditional model of the separation of powers behind. The problems posed by this gap between constitutional theory and political practice have recently acquired fresh urgency as developments in Hungary, Poland, Turkey, Russia, the UK, US, Bolivia and elsewhere place the separation of powers under strain. These include the emergence of authoritarian leaders; personalisation of political authority; recourse to non-legal plebiscites; and the capture or de-legitimisation of other constitutional bodies.
This project argues that these difficulties are rooted in a deeper problem with constitutional thinking about institutional power: a constitution-as-law approach that equates the conferral of legal power with the authority to exercise it. This makes it possible for a gap to emerge between legal accounts of authority and its diverse –and potentially conflicting (Cotterrell)– sociological foundations. Where that gap exists, the practical authority of an institution (or constitution) may be vulnerable to challenge from rival and more socially-resonant claims (Scheppele (2017)).
It is this gap between legal norms and social facts that the project aims to investigate – and ultimately bridge.
How is authority established? How is it maintained? How might it fail? And how does the constitution (as rule? representation (Saward)? mission statement (King)?) shape, re-shape and come to be shaped by those processes? By investigating these questions across six case studies, the project will produce a multi-dimensional account of institutional authority that takes seriously the sociological influence of both law and culture.
The results from these cases provide the evidential foundation for the project’s final outputs: a new model and new evaluative measures of the separation of powers.
Summary
‘Almost three centuries later, it is past time to rethink Montesquieu’s holy trinity’ (Ackerman, 2010).
As Ackerman (and many others) have observed, political reality has long left the traditional model of the separation of powers behind. The problems posed by this gap between constitutional theory and political practice have recently acquired fresh urgency as developments in Hungary, Poland, Turkey, Russia, the UK, US, Bolivia and elsewhere place the separation of powers under strain. These include the emergence of authoritarian leaders; personalisation of political authority; recourse to non-legal plebiscites; and the capture or de-legitimisation of other constitutional bodies.
This project argues that these difficulties are rooted in a deeper problem with constitutional thinking about institutional power: a constitution-as-law approach that equates the conferral of legal power with the authority to exercise it. This makes it possible for a gap to emerge between legal accounts of authority and its diverse –and potentially conflicting (Cotterrell)– sociological foundations. Where that gap exists, the practical authority of an institution (or constitution) may be vulnerable to challenge from rival and more socially-resonant claims (Scheppele (2017)).
It is this gap between legal norms and social facts that the project aims to investigate – and ultimately bridge.
How is authority established? How is it maintained? How might it fail? And how does the constitution (as rule? representation (Saward)? mission statement (King)?) shape, re-shape and come to be shaped by those processes? By investigating these questions across six case studies, the project will produce a multi-dimensional account of institutional authority that takes seriously the sociological influence of both law and culture.
The results from these cases provide the evidential foundation for the project’s final outputs: a new model and new evaluative measures of the separation of powers.
Max ERC Funding
1 997 628 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym FOREFRONT
Project Frontiers of Extended Formulations
Researcher (PI) Samuel Fiorini
Host Institution (HI) UNIVERSITE LIBRE DE BRUXELLES
Call Details Consolidator Grant (CoG), PE6, ERC-2013-CoG
Summary "Linear programming has proved to be an invaluable tool both in theory and practice. Semidefinite programming surpasses linear programming in terms of expressivity while remaining tractable. This project proposal investigates the modeling power of linear and semidefinite programming, in the context of combinatorial optimization. Within the emerging framework of extended formulations (EFs), I seek a decisive answer to the following question: Which problems can be modeled by a linear or semidefinite program, when the number of constraints and variables are limited? EFs are based on the idea that one should choose the ""right"" variables to model a problem. By extending the set of variables of a problem by a few carefully chosen variables, the number of constraints can in some cases dramatically decrease, making the problem easier to solve. Despite previous high-quality research, the theory of EFs is still on square one. This project proposal aims at (i) transforming our current zero-dimensional state of knowledge to a truly three-dimensional state of knowledge by pushing the boundaries of EFs in three directions (models, types and problems); (ii) using EFs as a lens on complexity by proving strong consequences of important conjectures such as P != NP, and leveraging strong connections to geometry to make progress on the log-rank conjecture. The proposed methodology is: (i) experiment-aided; (ii) interdisciplinary; (iii) constructive."
Summary
"Linear programming has proved to be an invaluable tool both in theory and practice. Semidefinite programming surpasses linear programming in terms of expressivity while remaining tractable. This project proposal investigates the modeling power of linear and semidefinite programming, in the context of combinatorial optimization. Within the emerging framework of extended formulations (EFs), I seek a decisive answer to the following question: Which problems can be modeled by a linear or semidefinite program, when the number of constraints and variables are limited? EFs are based on the idea that one should choose the ""right"" variables to model a problem. By extending the set of variables of a problem by a few carefully chosen variables, the number of constraints can in some cases dramatically decrease, making the problem easier to solve. Despite previous high-quality research, the theory of EFs is still on square one. This project proposal aims at (i) transforming our current zero-dimensional state of knowledge to a truly three-dimensional state of knowledge by pushing the boundaries of EFs in three directions (models, types and problems); (ii) using EFs as a lens on complexity by proving strong consequences of important conjectures such as P != NP, and leveraging strong connections to geometry to make progress on the log-rank conjecture. The proposed methodology is: (i) experiment-aided; (ii) interdisciplinary; (iii) constructive."
Max ERC Funding
1 455 479 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym FORSIED
Project Formalizing Subjective Interestingness in Exploratory Data Mining
Researcher (PI) Tijl De Bie
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), PE6, ERC-2013-CoG
Summary "The rate at which research labs, enterprises and governments accumulate data is high and fast increasing. Often, these data are collected for no specific purpose, or they turn out to be useful for unanticipated purposes: Companies constantly look for new ways to monetize their customer databases; Governments mine various databases to detect tax fraud; Security agencies mine and cross-associate numerous heterogeneous information streams from publicly accessible and classified databases to understand and detect security threats. The objective in such Exploratory Data Mining (EDM) tasks is typically ill-defined, i.e. it is unclear how to formalize how interesting a pattern extracted from the data is. As a result, EDM is often a slow process of trial and error.
During this fellowship we aim to develop the mathematical principles of what makes a pattern interesting in a very subjective sense. Crucial in this endeavour will be research into automatic mechanisms to model and duly consider the prior beliefs and expectations of the user for whom the EDM patterns are intended, thus relieving the users of the complex task to attempt to formalize themselves what makes a pattern interesting to them.
This project will represent a radical change in how EDM research is done. Currently, researchers typically imagine a specific purpose for the patterns, try to formalize interestingness of such patterns given that purpose, and design an algorithm to mine them. However, given the variety of users, this strategy has led to a multitude of algorithms. As a result, users need to be data mining experts to understand which algorithm applies to their situation. To resolve this, we will develop a theoretically solid framework for the design of EDM systems that model the user's beliefs and expectations as much as the data itself, so as to maximize the amount of useful information transmitted to the user. This will ultimately bring the power of EDM within reach of the non-expert."
Summary
"The rate at which research labs, enterprises and governments accumulate data is high and fast increasing. Often, these data are collected for no specific purpose, or they turn out to be useful for unanticipated purposes: Companies constantly look for new ways to monetize their customer databases; Governments mine various databases to detect tax fraud; Security agencies mine and cross-associate numerous heterogeneous information streams from publicly accessible and classified databases to understand and detect security threats. The objective in such Exploratory Data Mining (EDM) tasks is typically ill-defined, i.e. it is unclear how to formalize how interesting a pattern extracted from the data is. As a result, EDM is often a slow process of trial and error.
During this fellowship we aim to develop the mathematical principles of what makes a pattern interesting in a very subjective sense. Crucial in this endeavour will be research into automatic mechanisms to model and duly consider the prior beliefs and expectations of the user for whom the EDM patterns are intended, thus relieving the users of the complex task to attempt to formalize themselves what makes a pattern interesting to them.
This project will represent a radical change in how EDM research is done. Currently, researchers typically imagine a specific purpose for the patterns, try to formalize interestingness of such patterns given that purpose, and design an algorithm to mine them. However, given the variety of users, this strategy has led to a multitude of algorithms. As a result, users need to be data mining experts to understand which algorithm applies to their situation. To resolve this, we will develop a theoretically solid framework for the design of EDM systems that model the user's beliefs and expectations as much as the data itself, so as to maximize the amount of useful information transmitted to the user. This will ultimately bring the power of EDM within reach of the non-expert."
Max ERC Funding
1 549 315 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym GENOMIA
Project Genomic Modifiers of Inherited Aortapathy
Researcher (PI) Bart Leo LOEYS
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Thoracic aortic aneurysm and dissection (TAAD) is an important cause of morbidity and mortality in the western world. As 20% of all affected individuals have a positive family history, the genetic contribution to the development of TAAD is significant. Over the last decade dozens of genes were identified underlying syndromic and non-syndromic forms of TAAD. Although mutations in these disease culprits do not yet explain all cases, their identification and functional characterization were essential in deciphering three key aortic aneurysm/dissection patho-mechanisms: disturbed extracellular matrix homeostasis, dysregulated TGFbeta signaling and altered aortic smooth muscle cell contractility. Owing to the recent advent of next-generation sequencing technologies, I anticipate that the identification of additional genetic TAAD causes will remain quite straightforward in the coming years. Importantly, in many syndromic and non-syndromic families, significant non-penetrance and both inter- and intra-familial clinical variation are observed. So, although the primary genetic underlying mutation is identical in all these family members, the clinical spectrum varies widely from completely asymptomatic to sudden death due to aortic dissection at young age. The precise mechanisms underlying this variability remain largely elusive. Consequently, a better understanding of the functional effects of the primary mutation is highly needed and the identification of genetic variation that modifies these effects is becoming increasingly important. In this project, I carefully selected four different innovative strategies to discover mother nature’s own modifying capabilities in human and mouse aortopathy. The identification of these genetic modifiers will advance the knowledge significantly beyond the current understanding, individualize current treatment protocols to deliver true precision medicine and offer promising new leads to novel therapeutic strategies.
Summary
Thoracic aortic aneurysm and dissection (TAAD) is an important cause of morbidity and mortality in the western world. As 20% of all affected individuals have a positive family history, the genetic contribution to the development of TAAD is significant. Over the last decade dozens of genes were identified underlying syndromic and non-syndromic forms of TAAD. Although mutations in these disease culprits do not yet explain all cases, their identification and functional characterization were essential in deciphering three key aortic aneurysm/dissection patho-mechanisms: disturbed extracellular matrix homeostasis, dysregulated TGFbeta signaling and altered aortic smooth muscle cell contractility. Owing to the recent advent of next-generation sequencing technologies, I anticipate that the identification of additional genetic TAAD causes will remain quite straightforward in the coming years. Importantly, in many syndromic and non-syndromic families, significant non-penetrance and both inter- and intra-familial clinical variation are observed. So, although the primary genetic underlying mutation is identical in all these family members, the clinical spectrum varies widely from completely asymptomatic to sudden death due to aortic dissection at young age. The precise mechanisms underlying this variability remain largely elusive. Consequently, a better understanding of the functional effects of the primary mutation is highly needed and the identification of genetic variation that modifies these effects is becoming increasingly important. In this project, I carefully selected four different innovative strategies to discover mother nature’s own modifying capabilities in human and mouse aortopathy. The identification of these genetic modifiers will advance the knowledge significantly beyond the current understanding, individualize current treatment protocols to deliver true precision medicine and offer promising new leads to novel therapeutic strategies.
Max ERC Funding
1 987 860 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym GEOFIN
Project Western banks in Eastern Europe: New geographies of financialisation
Researcher (PI) Martin Sokol
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), SH3, ERC-2015-CoG
Summary Financialisation, or the growing power of finance over societies and economies, is increasingly recognised as the key feature of contemporary capitalism. However, significant gaps in our understanding of this process remain. Indeed, despite growing recognition that financialisation is an inherently spatial process, a geographically-informed view of financialisation remains underdeveloped. In addition, and related to this, the extent and the ways in which post-socialist ‘transition’ societies in East-Central Europe have been financialised remain under-researched and under-theorised. Yet, the examination of former state-socialist societies (built on the very opposite economic logic to that of financialisation) provides an unmatched opportunity to learn about financialisation itself, how it ‘penetrates’ societies and with what social and spatial implications. East-Central Europe in this sense constitutes a unique terrain for frontier research. GEOFIN will address the above shortcomings by producing empirical and theoretical insights to develop a geographically-informed view of financialisation. The objective is to examine how states, banks and households in post-socialist contexts have been financialised and to consider what implications this has for the societies in question and for Europe as a whole. The project will pilot a novel approach based on the concept of ‘financial chains’ which are understood both as channels of value transfer and as social relations that shape socio-economic processes and attendant economic geographies. A set of interlocking case studies will be mobilised to reveal the different ways in which banks, states and households across post-socialist East-Central Europe are interconnected by financial chains with each other and with a wider political economy. GEOFIN will fundamentally advance our understanding of new geographies of financialisation, opening up new horizons in studies of finance and its future role in the society.
Summary
Financialisation, or the growing power of finance over societies and economies, is increasingly recognised as the key feature of contemporary capitalism. However, significant gaps in our understanding of this process remain. Indeed, despite growing recognition that financialisation is an inherently spatial process, a geographically-informed view of financialisation remains underdeveloped. In addition, and related to this, the extent and the ways in which post-socialist ‘transition’ societies in East-Central Europe have been financialised remain under-researched and under-theorised. Yet, the examination of former state-socialist societies (built on the very opposite economic logic to that of financialisation) provides an unmatched opportunity to learn about financialisation itself, how it ‘penetrates’ societies and with what social and spatial implications. East-Central Europe in this sense constitutes a unique terrain for frontier research. GEOFIN will address the above shortcomings by producing empirical and theoretical insights to develop a geographically-informed view of financialisation. The objective is to examine how states, banks and households in post-socialist contexts have been financialised and to consider what implications this has for the societies in question and for Europe as a whole. The project will pilot a novel approach based on the concept of ‘financial chains’ which are understood both as channels of value transfer and as social relations that shape socio-economic processes and attendant economic geographies. A set of interlocking case studies will be mobilised to reveal the different ways in which banks, states and households across post-socialist East-Central Europe are interconnected by financial chains with each other and with a wider political economy. GEOFIN will fundamentally advance our understanding of new geographies of financialisation, opening up new horizons in studies of finance and its future role in the society.
Max ERC Funding
1 806 536 €
Duration
Start date: 2016-12-01, End date: 2021-11-30
Project acronym GlycoTarget
Project Exploring the targeted delivery of biopharmaceuticals enabled by glycosylation control
Researcher (PI) Nico Luc Marc Callewaert
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS7, ERC-2013-CoG
Summary Most biotechnological therapeutics used in the clinic today and under current development, are of protein nature. Eukaryotic expression systems (such as yeasts and mammalian cells) for these therapeutic proteins add carbohydrate moieties (glycans) to the proteins, and these glycans strongly modulate the protein's in vivo biodistribution and therapeutic efficacy. Until recently, no adequate tools were available to accurately control glycosylation structure in these expression systems, but bio-engineering research in our lab and elsewhere has now largely overcome this problem.
In the GlycoTarget ERC Consolidator grant project, we aim at exploring the relation between the structure of the glycans on therapeutic proteins and the in vivo targeting properties of these modified proteins to different tissues/cells/subcellular organelles.
As highly medically relevant test cases for this exploration, we have selected three diseases with strong unmet therapeutic need, that could potentially be treated with glyco-targeted biopharmaceuticals through three different routes of protein delivery: progressive liver disease (intravenous), allergic asthma (subcutaneous immunization) and active tuberculosis (intrapulmonary delivery).
Summary
Most biotechnological therapeutics used in the clinic today and under current development, are of protein nature. Eukaryotic expression systems (such as yeasts and mammalian cells) for these therapeutic proteins add carbohydrate moieties (glycans) to the proteins, and these glycans strongly modulate the protein's in vivo biodistribution and therapeutic efficacy. Until recently, no adequate tools were available to accurately control glycosylation structure in these expression systems, but bio-engineering research in our lab and elsewhere has now largely overcome this problem.
In the GlycoTarget ERC Consolidator grant project, we aim at exploring the relation between the structure of the glycans on therapeutic proteins and the in vivo targeting properties of these modified proteins to different tissues/cells/subcellular organelles.
As highly medically relevant test cases for this exploration, we have selected three diseases with strong unmet therapeutic need, that could potentially be treated with glyco-targeted biopharmaceuticals through three different routes of protein delivery: progressive liver disease (intravenous), allergic asthma (subcutaneous immunization) and active tuberculosis (intrapulmonary delivery).
Max ERC Funding
1 994 760 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym GRAPH
Project The Great War and Modern Philosophy
Researcher (PI) Nicolas James Laurent Fernando De Warren
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), SH5, ERC-2013-CoG
Summary "The First World War was an unprecedented event of destruction, transformation, and renewal that left no aspect of European culture unchanged. Philosophy proved no exception: the war motivated an historically singular mobilization of philosophers to write about the war during the years of conflict; significant works of philosophy were written during the war years and immediately thereafter; the postwar decades of the 1920s and 1930s witnessed a systematic reconfiguration of the landscape of philosophical thought that still largely defines contemporary philosophy. Surprisingly, while the impact of the war on literature, poetry, and the arts, political thought has been a subject of intense inquiry and interpretation, the significance of the war for modern philosophy remains relatively unexamined, often misunderstood or simply taken for granted.
This project aims at understanding the impact of the Great War on modern philosophy. It aims to chart an original course and establish a new standard for the philosophical study of the relation between the First World War and 20th-century philosophy through a comparative and critical approach to a diverse array of thinkers. Specifically, this project will investigate the hypothesis of whether diverse philosophical responses, direct and indirect, immediately or postponed, can be understood as formulations of different questions posed, or better: catalyzed by the war itself. This project will additionally argue that the very idea that war could reveal, challenge or legitimate cultural or philosophical meaning is itself a legacy of a distinctive kind of war-philosophy produced during the war.
This project will be divided into four sub-projects: (1) ""Philosophy of War and the Wars of Philosophy,""; (2) ""The Philosophy of Language and the Languages of Philosophy""; (3) ""The Care of the Soul""; (4) ""Europe after Europe."""
Summary
"The First World War was an unprecedented event of destruction, transformation, and renewal that left no aspect of European culture unchanged. Philosophy proved no exception: the war motivated an historically singular mobilization of philosophers to write about the war during the years of conflict; significant works of philosophy were written during the war years and immediately thereafter; the postwar decades of the 1920s and 1930s witnessed a systematic reconfiguration of the landscape of philosophical thought that still largely defines contemporary philosophy. Surprisingly, while the impact of the war on literature, poetry, and the arts, political thought has been a subject of intense inquiry and interpretation, the significance of the war for modern philosophy remains relatively unexamined, often misunderstood or simply taken for granted.
This project aims at understanding the impact of the Great War on modern philosophy. It aims to chart an original course and establish a new standard for the philosophical study of the relation between the First World War and 20th-century philosophy through a comparative and critical approach to a diverse array of thinkers. Specifically, this project will investigate the hypothesis of whether diverse philosophical responses, direct and indirect, immediately or postponed, can be understood as formulations of different questions posed, or better: catalyzed by the war itself. This project will additionally argue that the very idea that war could reveal, challenge or legitimate cultural or philosophical meaning is itself a legacy of a distinctive kind of war-philosophy produced during the war.
This project will be divided into four sub-projects: (1) ""Philosophy of War and the Wars of Philosophy,""; (2) ""The Philosophy of Language and the Languages of Philosophy""; (3) ""The Care of the Soul""; (4) ""Europe after Europe."""
Max ERC Funding
1 652 102 €
Duration
Start date: 2014-10-01, End date: 2019-09-30
Project acronym HoloQosmos
Project Holographic Quantum Cosmology
Researcher (PI) Thomas Hertog
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE9, ERC-2013-CoG
Summary The current theory of cosmic inflation is largely based on classical physics. This undermines its predictivity in a world that is fundamentally quantum mechanical. With this project we will develop a novel approach towards a quantum theory of inflation. We will do this by introducing holographic techniques in cosmology. The notion of holography is the most profound conceptual breakthrough that has emerged form fundamental high-energy physics in recent years. It postulates that (quantum) gravitational systems such as the universe as a whole have a precise `holographic’ description in terms of quantum field theories defined on their boundary. Our aim is to develop a holographic framework for quantum cosmology. We will then apply this to three areas of theoretical cosmology where a quantum approach is of critical importance. First, we will put forward a holographic description of inflation that clarifies its microphysical origin and is rigorously predictive. Using this we will derive the distinct observational signatures of novel, truly holographic models of the early universe where inflation has no description in terms of classical cosmic evolution. Second, we will apply holographic cosmology to improve our understanding of eternal inflation. This is a phase deep into inflation where quantum effects dominate the evolution and affect the universe’s global structure. Finally we will work towards generalizing our holographic models of the primordial universe to include the radiation, matter and vacuum eras. The resulting unification of cosmic history in terms of a single holographic boundary theory may lead to intriguing predictions of correlations between early and late time observables, tying together the universe’s origin with its ultimate fate. Our project has the potential to revolutionize our perspective on cosmology and to further deepen the fruitful interaction between cosmology and high-energy physics.
Summary
The current theory of cosmic inflation is largely based on classical physics. This undermines its predictivity in a world that is fundamentally quantum mechanical. With this project we will develop a novel approach towards a quantum theory of inflation. We will do this by introducing holographic techniques in cosmology. The notion of holography is the most profound conceptual breakthrough that has emerged form fundamental high-energy physics in recent years. It postulates that (quantum) gravitational systems such as the universe as a whole have a precise `holographic’ description in terms of quantum field theories defined on their boundary. Our aim is to develop a holographic framework for quantum cosmology. We will then apply this to three areas of theoretical cosmology where a quantum approach is of critical importance. First, we will put forward a holographic description of inflation that clarifies its microphysical origin and is rigorously predictive. Using this we will derive the distinct observational signatures of novel, truly holographic models of the early universe where inflation has no description in terms of classical cosmic evolution. Second, we will apply holographic cosmology to improve our understanding of eternal inflation. This is a phase deep into inflation where quantum effects dominate the evolution and affect the universe’s global structure. Finally we will work towards generalizing our holographic models of the primordial universe to include the radiation, matter and vacuum eras. The resulting unification of cosmic history in terms of a single holographic boundary theory may lead to intriguing predictions of correlations between early and late time observables, tying together the universe’s origin with its ultimate fate. Our project has the potential to revolutionize our perspective on cosmology and to further deepen the fruitful interaction between cosmology and high-energy physics.
Max ERC Funding
1 995 900 €
Duration
Start date: 2014-08-01, End date: 2019-07-31
Project acronym i-CaD
Project Innovative Catalyst Design for Large-Scale, Sustainable Processes
Researcher (PI) Joris Wilfried Maria Cornelius Thybaut
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), PE8, ERC-2013-CoG
Summary A systematic and novel, multi-scale model based catalyst design methodology will be developed. The fundamental nature of the models used is unprecedented and will represent a breakthrough compared to the more commonly applied statistical, correlative relationships. The methodology will focus on the intrinsic kinetics of (potentially) large-scale processes for the conversion of renewable feeds into fuels and chemicals. Non-ideal behaviour, caused by mass and heat transfer limitations or particular reactor hydrodynamics, will be explicitly accounted for when simulating or optimizing industrial-scale applications. The selected model reactions are situated in the area of biomass upgrading to fuels and chemicals: fast pyrolysis oil stabilization, glycerol hydrogenolysis and selective oxidation of (bio)ethanol to acetaldehyde.
For the first time, a systematic microkinetic modelling methodology will be developed for oxygenates conversion. In particular, stereochemistry in catalysis will be assessed. Two types of descriptors will be quantified: kinetic descriptors that are catalyst independent and catalyst descriptors that specifically account for the effect of the catalyst properties on the reaction kinetics. The latter will be optimized in terms of reactant conversion, product yield or selectivity. Fundamental relationships will be established between the catalyst descriptors as determined by microkinetic modelling and independently measured catalyst properties or synthesis parameters. These innovative relationships allow providing the desired, rational feedback in from optimal descriptor values towards synthesis parameters for a new catalyst generation. Their fundamental character will guarantee adequate extrapolative properties that can be exploited for the identification of a groundbreaking next catalyst generation.
Summary
A systematic and novel, multi-scale model based catalyst design methodology will be developed. The fundamental nature of the models used is unprecedented and will represent a breakthrough compared to the more commonly applied statistical, correlative relationships. The methodology will focus on the intrinsic kinetics of (potentially) large-scale processes for the conversion of renewable feeds into fuels and chemicals. Non-ideal behaviour, caused by mass and heat transfer limitations or particular reactor hydrodynamics, will be explicitly accounted for when simulating or optimizing industrial-scale applications. The selected model reactions are situated in the area of biomass upgrading to fuels and chemicals: fast pyrolysis oil stabilization, glycerol hydrogenolysis and selective oxidation of (bio)ethanol to acetaldehyde.
For the first time, a systematic microkinetic modelling methodology will be developed for oxygenates conversion. In particular, stereochemistry in catalysis will be assessed. Two types of descriptors will be quantified: kinetic descriptors that are catalyst independent and catalyst descriptors that specifically account for the effect of the catalyst properties on the reaction kinetics. The latter will be optimized in terms of reactant conversion, product yield or selectivity. Fundamental relationships will be established between the catalyst descriptors as determined by microkinetic modelling and independently measured catalyst properties or synthesis parameters. These innovative relationships allow providing the desired, rational feedback in from optimal descriptor values towards synthesis parameters for a new catalyst generation. Their fundamental character will guarantee adequate extrapolative properties that can be exploited for the identification of a groundbreaking next catalyst generation.
Max ERC Funding
1 999 877 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym iBias
Project Understanding contemporary interest group politics: mobilization and strategies in multi-layered systems
Researcher (PI) Jan Beyers
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Consolidator Grant (CoG), SH2, ERC-2013-CoG
Summary This ERC program addresses an unsettled political science problem, namely how does the shifting of policymaking competencies to higher levels of government affect the opportunities of societal interests to seek representation. On this issue two completely different theoretical expectations exist. One the one hand, the Madisonian view entails that shifting competencies upwards is a healthy antidote to the powers of specific interests that may dominate smaller polities. Multi-levelness may also provide political opportunities as it enables actors to make strategic venue shifts when they are unable to attract the necessary attention at one venue. On the other hand, shifting policymaking upwards may seriously restrict the opportunities for diffuse interests, undermine encompassing forms of interest representation, and increase the barriers for local groups to gain attention. Instead of creating opportunities for all, multi-layered systems may decrease opportunities and reproduce or reinforce representational bias. One of the reasons why the implications of multi-layeredness are so poorly understood is the fact that political science has not developed a proper understanding of what representational bias means; some scholars see bias in terms of mobilization, while others conceive it in terms of the strategic interactions between organized interests and policymakers.
This ERC program will integrate theoretically, methodologically and empirically these different aspects of group politics, by taking explicitly into account the nature of multi-layered systems. The innovative character of it lies in the theoretical combination of mapping interest group community dynamics, with a more nuanced characterization of organizational form and an in-depth investigation of bias in terms of strategies.
Summary
This ERC program addresses an unsettled political science problem, namely how does the shifting of policymaking competencies to higher levels of government affect the opportunities of societal interests to seek representation. On this issue two completely different theoretical expectations exist. One the one hand, the Madisonian view entails that shifting competencies upwards is a healthy antidote to the powers of specific interests that may dominate smaller polities. Multi-levelness may also provide political opportunities as it enables actors to make strategic venue shifts when they are unable to attract the necessary attention at one venue. On the other hand, shifting policymaking upwards may seriously restrict the opportunities for diffuse interests, undermine encompassing forms of interest representation, and increase the barriers for local groups to gain attention. Instead of creating opportunities for all, multi-layered systems may decrease opportunities and reproduce or reinforce representational bias. One of the reasons why the implications of multi-layeredness are so poorly understood is the fact that political science has not developed a proper understanding of what representational bias means; some scholars see bias in terms of mobilization, while others conceive it in terms of the strategic interactions between organized interests and policymakers.
This ERC program will integrate theoretically, methodologically and empirically these different aspects of group politics, by taking explicitly into account the nature of multi-layered systems. The innovative character of it lies in the theoretical combination of mapping interest group community dynamics, with a more nuanced characterization of organizational form and an in-depth investigation of bias in terms of strategies.
Max ERC Funding
1 655 263 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym iHEAR
Project Investigating the meanings and mechanisms of psychotic experiences in young people: a novel, mixed-methods approach
Researcher (PI) Mary CANNON
Host Institution (HI) ROYAL COLLEGE OF SURGEONS IN IRELAND
Call Details Consolidator Grant (CoG), LS7, ERC-2016-COG
Summary Up to one fifth of young people have had the experience of psychotic symptoms, such as hearing voices when there is no-one around, or seeing visions. We now know that young people who experience these symptoms are at increased risk of developing psychotic disorders in adulthood. We also know that these young people are at higher risk of a range of co-morbid disorders such as depression and anxiety, and particularly suicidal behaviours. On the other hand, many of these young people will remain well and, for them, the psychotic experiences were merely a transitory phenomenon.
Childhood trauma is known to be associated with increased risk for psychotic symptoms and is a promising target for intervention. However we do not yet know enough about what types or timing of stressors are involved in the pathogenesis of psychotic symptoms, nor the mechanism by which early life stress may lead to changes in brain structure and function resulting in symptoms such as hallucinations. We also need to be able to identify those young people who will benefit most from intervention.
This ground-breaking, multi-disciplinary programme of work sets out to address these issues by drawing together epidemiology, social science, anthropology and neuroscience to devise a comprehensive programme of work examining the relationship between early life stress and psychotic symptoms among young people.
Designed as three inter-related work packages, this iHEAR programme will exploit a large population-based cohort and will capitalise on my existing unique cohort of young people, who were known to have experienced psychotic symptoms in childhood, as they enter young adulthood. This iHEAR programme will result in new information which will allow the development of innovative interventions to prevent or pre-empt severe mental illness in later life.
Summary
Up to one fifth of young people have had the experience of psychotic symptoms, such as hearing voices when there is no-one around, or seeing visions. We now know that young people who experience these symptoms are at increased risk of developing psychotic disorders in adulthood. We also know that these young people are at higher risk of a range of co-morbid disorders such as depression and anxiety, and particularly suicidal behaviours. On the other hand, many of these young people will remain well and, for them, the psychotic experiences were merely a transitory phenomenon.
Childhood trauma is known to be associated with increased risk for psychotic symptoms and is a promising target for intervention. However we do not yet know enough about what types or timing of stressors are involved in the pathogenesis of psychotic symptoms, nor the mechanism by which early life stress may lead to changes in brain structure and function resulting in symptoms such as hallucinations. We also need to be able to identify those young people who will benefit most from intervention.
This ground-breaking, multi-disciplinary programme of work sets out to address these issues by drawing together epidemiology, social science, anthropology and neuroscience to devise a comprehensive programme of work examining the relationship between early life stress and psychotic symptoms among young people.
Designed as three inter-related work packages, this iHEAR programme will exploit a large population-based cohort and will capitalise on my existing unique cohort of young people, who were known to have experienced psychotic symptoms in childhood, as they enter young adulthood. This iHEAR programme will result in new information which will allow the development of innovative interventions to prevent or pre-empt severe mental illness in later life.
Max ERC Funding
1 781 623 €
Duration
Start date: 2017-06-01, End date: 2022-05-31
Project acronym ImmunoBioSynth
Project Synergistic engineering of anti-tumor immunity by synthetic biomaterials
Researcher (PI) Bruno DE GEEST
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), LS7, ERC-2018-COG
Summary Immunotherapy holds the potential to dramatically improve the curative prognosis of cancer patients. However, despite significant progress, a huge gap remains to be bridged to gain board success in the clinic. A first limiting factor in cancer immunotherapy is the low response rate in large fraction of the patients and an unmet need exists for more efficient - potentially synergistic - immunotherapies that improve upon or complement existing strategies. The second limiting factor is immune-related toxicity that can cause live-threatening situations as well as seriously impair the quality of life of patients. Therefore, there is an urgent need for safer immunotherapies that allow for a more target-specific engineering of the immune system. Strategies to engineer the immune system via a materials chemistry approach, i.e. immuno-engineering, have gathered major attention over the past decade and could complement or replace biologicals, and holds promise to contribute to resolving the current issues faced by the immunotherapy field. I hypothesize that synthetic biomaterials can play an important role in anti-cancer immunotherapy with regard to synergistic, safe, but potent, instruction of innate and adaptive anti-cancer immunity and to revert the tumor microenvironment from an immune-suppressive into an immune-susceptible state. Hereto, the overall scientific objective of this proposal is to fully embrace the potential of immuno-engineering and develop several highly synergistic biomaterials strategies to engineer the immune system to fight cancer. I will develop a series of biomaterials and address a number of fundamental questions with regard to optimal biomaterial design for immuno-engineering. Based on these findings, I will elucidate those therapeutic strategies that lead to synergistic engineering of innate and adaptive immunity in combination with remodeling the tumor microenvironment from an immune-suppressive into an immune-susceptible state.
Summary
Immunotherapy holds the potential to dramatically improve the curative prognosis of cancer patients. However, despite significant progress, a huge gap remains to be bridged to gain board success in the clinic. A first limiting factor in cancer immunotherapy is the low response rate in large fraction of the patients and an unmet need exists for more efficient - potentially synergistic - immunotherapies that improve upon or complement existing strategies. The second limiting factor is immune-related toxicity that can cause live-threatening situations as well as seriously impair the quality of life of patients. Therefore, there is an urgent need for safer immunotherapies that allow for a more target-specific engineering of the immune system. Strategies to engineer the immune system via a materials chemistry approach, i.e. immuno-engineering, have gathered major attention over the past decade and could complement or replace biologicals, and holds promise to contribute to resolving the current issues faced by the immunotherapy field. I hypothesize that synthetic biomaterials can play an important role in anti-cancer immunotherapy with regard to synergistic, safe, but potent, instruction of innate and adaptive anti-cancer immunity and to revert the tumor microenvironment from an immune-suppressive into an immune-susceptible state. Hereto, the overall scientific objective of this proposal is to fully embrace the potential of immuno-engineering and develop several highly synergistic biomaterials strategies to engineer the immune system to fight cancer. I will develop a series of biomaterials and address a number of fundamental questions with regard to optimal biomaterial design for immuno-engineering. Based on these findings, I will elucidate those therapeutic strategies that lead to synergistic engineering of innate and adaptive immunity in combination with remodeling the tumor microenvironment from an immune-suppressive into an immune-susceptible state.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym ImmunoFit
Project Harnessing tumor metabolism to overcome immunosupression
Researcher (PI) Massimiliano MAZZONE
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Anti-cancer immunotherapy has provided patients with a promising treatment. Yet, it has also unveiled that the immunosuppressive tumor microenvironment (TME) hampers the efficiency of this therapeutic option and limits its success. The concept that metabolism is able to shape the immune response has gained general acceptance. Nonetheless, little is known on how the metabolic crosstalk between different tumor compartments contributes to the harsh TME and ultimately impairs T cell fitness within the tumor.
This proposal aims to decipher which metabolic changes in the TME impede proper anti-tumor immunity. Starting from the meta-analysis of public human datasets, corroborated by metabolomics and transcriptomics data from several mouse tumors, we ranked clinically relevant and altered metabolic pathways that correlate with resistance to immunotherapy. Using a CRISPR/Cas9 platform for their functional in vivo selection, we want to identify cancer cell intrinsic metabolic mediators and, indirectly, distinguish those belonging specifically to the stroma. By means of genetic tools and small molecules, we will modify promising metabolic pathways in cancer cells and stromal cells (particularly in tumor-associated macrophages) to harness tumor immunosuppression. In a mirroring approach, we will apply a similar screening tool on cytotoxic T cells to identify metabolic targets that enhance their fitness under adverse growth conditions. This will allow us to manipulate T cells ex vivo and to therapeutically intervene via adoptive T cell transfer. By analyzing the metabolic network and crosstalk within the tumor, this project will shed light on how metabolism contributes to the immunosuppressive TME and T cell maladaptation. The overall goal is to identify druggable metabolic targets that i) reinforce the intrinsic anti-tumor immune response by breaking immunosuppression and ii) promote T cell function in immunotherapeutic settings by rewiring either the TME or the T cell itself.
Summary
Anti-cancer immunotherapy has provided patients with a promising treatment. Yet, it has also unveiled that the immunosuppressive tumor microenvironment (TME) hampers the efficiency of this therapeutic option and limits its success. The concept that metabolism is able to shape the immune response has gained general acceptance. Nonetheless, little is known on how the metabolic crosstalk between different tumor compartments contributes to the harsh TME and ultimately impairs T cell fitness within the tumor.
This proposal aims to decipher which metabolic changes in the TME impede proper anti-tumor immunity. Starting from the meta-analysis of public human datasets, corroborated by metabolomics and transcriptomics data from several mouse tumors, we ranked clinically relevant and altered metabolic pathways that correlate with resistance to immunotherapy. Using a CRISPR/Cas9 platform for their functional in vivo selection, we want to identify cancer cell intrinsic metabolic mediators and, indirectly, distinguish those belonging specifically to the stroma. By means of genetic tools and small molecules, we will modify promising metabolic pathways in cancer cells and stromal cells (particularly in tumor-associated macrophages) to harness tumor immunosuppression. In a mirroring approach, we will apply a similar screening tool on cytotoxic T cells to identify metabolic targets that enhance their fitness under adverse growth conditions. This will allow us to manipulate T cells ex vivo and to therapeutically intervene via adoptive T cell transfer. By analyzing the metabolic network and crosstalk within the tumor, this project will shed light on how metabolism contributes to the immunosuppressive TME and T cell maladaptation. The overall goal is to identify druggable metabolic targets that i) reinforce the intrinsic anti-tumor immune response by breaking immunosuppression and ii) promote T cell function in immunotherapeutic settings by rewiring either the TME or the T cell itself.
Max ERC Funding
1 999 721 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym INSITE
Project Development and use of an integrated in silico-in vitro mesofluidics system for tissue engineering
Researcher (PI) Liesbet Laura J GERIS
Host Institution (HI) UNIVERSITE DE LIEGE
Call Details Consolidator Grant (CoG), PE8, ERC-2017-COG
Summary Tissue Engineering (TE) refers to the branch of medicine that aims to replace or regenerate functional tissue or organs using man-made living implants. As the field is moving towards more complex TE constructs with sophisticated functionalities, there is a lack of dedicated in vitro devices that allow testing the response of the complex construct as a whole, prior to implantation. Additionally, the knowledge accumulated from mechanistic and empirical in vitro and in vivo studies is often underused in the development of novel constructs due to a lack of integration of all the data in a single, in silico, platform.
The INSITE project aims to address both challenges by developing a new mesofluidics set-up for in vitro testing of TE constructs and by developing dedicated multiscale and multiphysics models that aggregate the available data and use these to design complex constructs and proper mesofluidics settings for in vitro testing. The combination of these in silico and in vitro approaches will lead to an integrated knowledge-rich mesofluidics system that provides an in vivo-like time-varying in vitro environment. The system will emulate the in vivo environment present at the (early) stages of bone regeneration including the vascularization process and the innate immune response. A proof of concept will be delivered for complex TE constructs for large bone defects and infected fractures.
To realize this project, the applicant can draw on her well-published track record and extensive network in the fields of in silico medicine and skeletal TE. If successful, INSITE will generate a shift from in vivo to in vitro work and hence a transformation of the classical R&D pipeline. Using this system will allow for a maximum of relevant in vitro research prior to the in vivo phase, which is highly needed in academia and industry with the increasing ethical (3R), financial and regulatory constraints.
Summary
Tissue Engineering (TE) refers to the branch of medicine that aims to replace or regenerate functional tissue or organs using man-made living implants. As the field is moving towards more complex TE constructs with sophisticated functionalities, there is a lack of dedicated in vitro devices that allow testing the response of the complex construct as a whole, prior to implantation. Additionally, the knowledge accumulated from mechanistic and empirical in vitro and in vivo studies is often underused in the development of novel constructs due to a lack of integration of all the data in a single, in silico, platform.
The INSITE project aims to address both challenges by developing a new mesofluidics set-up for in vitro testing of TE constructs and by developing dedicated multiscale and multiphysics models that aggregate the available data and use these to design complex constructs and proper mesofluidics settings for in vitro testing. The combination of these in silico and in vitro approaches will lead to an integrated knowledge-rich mesofluidics system that provides an in vivo-like time-varying in vitro environment. The system will emulate the in vivo environment present at the (early) stages of bone regeneration including the vascularization process and the innate immune response. A proof of concept will be delivered for complex TE constructs for large bone defects and infected fractures.
To realize this project, the applicant can draw on her well-published track record and extensive network in the fields of in silico medicine and skeletal TE. If successful, INSITE will generate a shift from in vivo to in vitro work and hence a transformation of the classical R&D pipeline. Using this system will allow for a maximum of relevant in vitro research prior to the in vivo phase, which is highly needed in academia and industry with the increasing ethical (3R), financial and regulatory constraints.
Max ERC Funding
2 161 750 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym INTERFERE
Project Sparse Signal Coding for Interference-based Imaging Modalities
Researcher (PI) Peter Schelkens
Host Institution (HI) VRIJE UNIVERSITEIT BRUSSEL
Call Details Consolidator Grant (CoG), PE7, ERC-2013-CoG
Summary Since its invention in 1948 by Dennis Gabor holography has held the promise to empower full parallax 3D visualisation. Though the trajectory has been significantly longer than expected, recent developments in photonics, microelectronics and computer engineering have led to the prospective to realize within a decade dynamic full parallax holography with acceptable rendering quality and viewing angle. Unfortunately projections – based on the current state-of-the-art and expected evolution in the underlying “hardware” technologies – still predict exascale computing power and terabytes-per-second data rates.
Since dynamic digital holography requires huge amounts of pixels to be sensed, transmitted and represented, sparse signal representations hold a great promise reducing the computational complexity and bandwidth usage. INTERFERE will design a generic source coding methodology and architecture to facilitate the exploitation of sparse signal representations for dynamic, full parallax, large viewing angle digital holography and more generic, interference-based modalities, with the ambition to reduce the signal processing tailbacks while exploiting simultaneously human visual system characteristics.
Realizing these research objectives – with a strong focus on advanced signal representations, associated source coding methodologies and visual quality modelling – will provide a breakthrough with respect to the complexity reduction and thus realisation of full-parallax, wide viewing angle dynamic digital holography and benefit the earlier mentioned adjacent scientific fields. Intermediate results or components will have serendipic effects on other scientific disciplines and open new horizons for markets such as – but not limited to – medical imaging, biophotonics, life sciences, public safety, digital holographic microscopy, holographic biomedical sensors, data storage and metrology, illustrating the high-gain potential of INTERFERE.
Summary
Since its invention in 1948 by Dennis Gabor holography has held the promise to empower full parallax 3D visualisation. Though the trajectory has been significantly longer than expected, recent developments in photonics, microelectronics and computer engineering have led to the prospective to realize within a decade dynamic full parallax holography with acceptable rendering quality and viewing angle. Unfortunately projections – based on the current state-of-the-art and expected evolution in the underlying “hardware” technologies – still predict exascale computing power and terabytes-per-second data rates.
Since dynamic digital holography requires huge amounts of pixels to be sensed, transmitted and represented, sparse signal representations hold a great promise reducing the computational complexity and bandwidth usage. INTERFERE will design a generic source coding methodology and architecture to facilitate the exploitation of sparse signal representations for dynamic, full parallax, large viewing angle digital holography and more generic, interference-based modalities, with the ambition to reduce the signal processing tailbacks while exploiting simultaneously human visual system characteristics.
Realizing these research objectives – with a strong focus on advanced signal representations, associated source coding methodologies and visual quality modelling – will provide a breakthrough with respect to the complexity reduction and thus realisation of full-parallax, wide viewing angle dynamic digital holography and benefit the earlier mentioned adjacent scientific fields. Intermediate results or components will have serendipic effects on other scientific disciplines and open new horizons for markets such as – but not limited to – medical imaging, biophotonics, life sciences, public safety, digital holographic microscopy, holographic biomedical sensors, data storage and metrology, illustrating the high-gain potential of INTERFERE.
Max ERC Funding
1 992 615 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym JointPrinting
Project 3D Printing of Cell Laden Biomimetic Materials and Biomolecules for Joint Regeneration
Researcher (PI) Daniel John Kelly
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), PE8, ERC-2014-CoG
Summary Osteoarthritis (OA) is a serious disease of the joints affecting nearly 10% of the population worldwide. Realising an efficacious therapeutic solution for treating OA remains one of the greatest challenges in the field of orthopaedic medicine. This proposal envisions a future where 3D bioprinting systems located in hospitals will provide ‘off-the-shelf’, patient-specific biological implants to treat diseases such as OA. To realise this vision, this project will use 3D bioprinting to generate anatomically accurate, biomimetic constructs that can be used to regenerate both the cartilage and bone in a diseased joint. The first aim of this proposal is to print a mesenchymal stem cell laden biomaterial that is both immediately load bearing and can facilitate the regeneration of articular cartilage in vivo, such that the bioprinted construct will not require in vitro maturation prior to implantation. Mechanical function will be realised by integrating an interpenetrating network hydrogel into a 3D printed polymeric scaffold, while chondro-inductivity will be enhanced by the spatially-defined incorporation of cartilage extracellular matrix components and chondrogenic growth factors into the bioprinted construct. The second aim of the proposal is to use 3D bioprinting to create a cell-free, composite construct to facilitate regeneration of the bony region of a large osteochondral defect, where vascularization will be accelerated by immobilizing spatial gradients of vascular endothelial growth factor into the implant. The third aim of the proposal is to scale-up the proposed 3D bioprinted construct to enable whole joint regeneration. Finite element modelling will be used determine the optimal structural characteristics of the scaled-up implant for it to fulfil its required mechanical function. If successful, such an implant would form the basis of a truly transformative therapy for treating degenerative joint disease.
Summary
Osteoarthritis (OA) is a serious disease of the joints affecting nearly 10% of the population worldwide. Realising an efficacious therapeutic solution for treating OA remains one of the greatest challenges in the field of orthopaedic medicine. This proposal envisions a future where 3D bioprinting systems located in hospitals will provide ‘off-the-shelf’, patient-specific biological implants to treat diseases such as OA. To realise this vision, this project will use 3D bioprinting to generate anatomically accurate, biomimetic constructs that can be used to regenerate both the cartilage and bone in a diseased joint. The first aim of this proposal is to print a mesenchymal stem cell laden biomaterial that is both immediately load bearing and can facilitate the regeneration of articular cartilage in vivo, such that the bioprinted construct will not require in vitro maturation prior to implantation. Mechanical function will be realised by integrating an interpenetrating network hydrogel into a 3D printed polymeric scaffold, while chondro-inductivity will be enhanced by the spatially-defined incorporation of cartilage extracellular matrix components and chondrogenic growth factors into the bioprinted construct. The second aim of the proposal is to use 3D bioprinting to create a cell-free, composite construct to facilitate regeneration of the bony region of a large osteochondral defect, where vascularization will be accelerated by immobilizing spatial gradients of vascular endothelial growth factor into the implant. The third aim of the proposal is to scale-up the proposed 3D bioprinted construct to enable whole joint regeneration. Finite element modelling will be used determine the optimal structural characteristics of the scaled-up implant for it to fulfil its required mechanical function. If successful, such an implant would form the basis of a truly transformative therapy for treating degenerative joint disease.
Max ERC Funding
1 999 700 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym KupfferCellNiche
Project Determining the instructive tissue signals and the master transcription factors driving Kupffer cell differentiation
Researcher (PI) Martin Wim V GUILLIAMS
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS6, ERC-2016-COG
Summary We have recently shown that contrary to common hypotheses, circulating monocytes can efficiently differentiate into Kupffer cells (KCs), the liver-resident macrophages. Using self-generated knock-in mice that allow specific KC depletion, we found that monocytes colonize the KC niche in a single wave upon KC depletion and rapidly differentiate into self-maintaining KCs that are transcriptionally and functionally identical to their embryonic counterparts. This implies that: (i) access to the KC niche is tightly regulated, ensuring that monocytes do not differentiate into KCs when the KC niche is full but differentiate very efficiently into KCs upon temporary niche availability, and (ii) imprinting by the KC niche is the dominant factor conferring KC identity. Understanding which cells represent the macrophage niche, which signals produced by these cells imprint the tissue-specific macrophage gene expression profile and through which transcription factors (TxFs) this is mediated is emerging as the next challenge in the field. We here propose an original strategy combining state-of-the-art in silico approaches and unique in vivo transgenic mouse models to tackle this challenge specifically for KCs, the most abundant macrophage in the body. We hypothesize that the liver sinusoidal endothelial cell (LSEC) to which the KC is attached represents the most likely candidate to sense KC loss, recruit new monocytes and drive their differentiation into KCs. Thus, this proposal aims to: (I) determine the TxFs through which the niche imprints KC identity, (II) map the LSEC-KC crosstalk during KC development, (III) generate LSEC-specific knock-in mice to study LSECs in vivo, (IV) demonstrate which LSEC factors influence KC development and function. Importantly, understanding how the KC-TxFs and the LSEC-KC crosstalk control KC development and function will be essential for the development of novel therapeutic interventions for hepatic disorders in which KCs play a central role.
Summary
We have recently shown that contrary to common hypotheses, circulating monocytes can efficiently differentiate into Kupffer cells (KCs), the liver-resident macrophages. Using self-generated knock-in mice that allow specific KC depletion, we found that monocytes colonize the KC niche in a single wave upon KC depletion and rapidly differentiate into self-maintaining KCs that are transcriptionally and functionally identical to their embryonic counterparts. This implies that: (i) access to the KC niche is tightly regulated, ensuring that monocytes do not differentiate into KCs when the KC niche is full but differentiate very efficiently into KCs upon temporary niche availability, and (ii) imprinting by the KC niche is the dominant factor conferring KC identity. Understanding which cells represent the macrophage niche, which signals produced by these cells imprint the tissue-specific macrophage gene expression profile and through which transcription factors (TxFs) this is mediated is emerging as the next challenge in the field. We here propose an original strategy combining state-of-the-art in silico approaches and unique in vivo transgenic mouse models to tackle this challenge specifically for KCs, the most abundant macrophage in the body. We hypothesize that the liver sinusoidal endothelial cell (LSEC) to which the KC is attached represents the most likely candidate to sense KC loss, recruit new monocytes and drive their differentiation into KCs. Thus, this proposal aims to: (I) determine the TxFs through which the niche imprints KC identity, (II) map the LSEC-KC crosstalk during KC development, (III) generate LSEC-specific knock-in mice to study LSECs in vivo, (IV) demonstrate which LSEC factors influence KC development and function. Importantly, understanding how the KC-TxFs and the LSEC-KC crosstalk control KC development and function will be essential for the development of novel therapeutic interventions for hepatic disorders in which KCs play a central role.
Max ERC Funding
1 996 705 €
Duration
Start date: 2017-07-01, End date: 2022-06-30
Project acronym LEGA-C
Project The Physics of Galaxies 7 Gyr Ago
Researcher (PI) Arjen Van der wel
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), PE9, ERC-2015-CoG
Summary Over the past decade, redshift
surveys and multi-wavelength imaging campaigns have drawn up an
empirical picture of how many stars had formed in which types of
galaxies over the history of the universe. However, we have yet to
unravel the individual pathways along which galaxies evolve, and the
physical processes that drive them. Continuing with the previous
approach -- larger and deeper photometric samples -- is not adequate
to achieve this goal. A change of focus is required.
In this ERC project I will embark on a new way to address the question
of galaxy evolution. I will do so as Principle Investigator of the
recently approved LEGA-C observing program that has been allocated 128
nights of observation time over the next 4 years with ESO's flagship
facility the Very Large Telescope. This new survey will produce for
2500 distant (at z~1) galaxies with, for the first time,
sufficient resolution and S/N to measure ages and chemical
compositions of their stellar populations as well as internal velocity
dispersions and dynamical masses. This will provide an entirely new
physical description of the galaxy population 7 Gyr ago, with which I
will finally be able solve long-standing questions in galaxy formation
that were out of reach before: what is the star-formation history of
individual galaxies, why and how is star-formation ``quenched'' in
many galaxies, and to what extent do galaxies grow subsequently
through merging afterward?
LEGA-C is worldwide the largest spectroscopic survey of distant
galaxies to date, and ERC funding will be absolutely critical in
harvesting this unparallelled database. I am seeking to extend my
research group to realize the scientific potential of this substantial
investment (6.5M Eur) of observational resources by the European
astronomy community. Timing of the execution of the VLT program is
perfectly matched with the timeline of this ERC program.
Summary
Over the past decade, redshift
surveys and multi-wavelength imaging campaigns have drawn up an
empirical picture of how many stars had formed in which types of
galaxies over the history of the universe. However, we have yet to
unravel the individual pathways along which galaxies evolve, and the
physical processes that drive them. Continuing with the previous
approach -- larger and deeper photometric samples -- is not adequate
to achieve this goal. A change of focus is required.
In this ERC project I will embark on a new way to address the question
of galaxy evolution. I will do so as Principle Investigator of the
recently approved LEGA-C observing program that has been allocated 128
nights of observation time over the next 4 years with ESO's flagship
facility the Very Large Telescope. This new survey will produce for
2500 distant (at z~1) galaxies with, for the first time,
sufficient resolution and S/N to measure ages and chemical
compositions of their stellar populations as well as internal velocity
dispersions and dynamical masses. This will provide an entirely new
physical description of the galaxy population 7 Gyr ago, with which I
will finally be able solve long-standing questions in galaxy formation
that were out of reach before: what is the star-formation history of
individual galaxies, why and how is star-formation ``quenched'' in
many galaxies, and to what extent do galaxies grow subsequently
through merging afterward?
LEGA-C is worldwide the largest spectroscopic survey of distant
galaxies to date, and ERC funding will be absolutely critical in
harvesting this unparallelled database. I am seeking to extend my
research group to realize the scientific potential of this substantial
investment (6.5M Eur) of observational resources by the European
astronomy community. Timing of the execution of the VLT program is
perfectly matched with the timeline of this ERC program.
Max ERC Funding
1 884 875 €
Duration
Start date: 2016-04-01, End date: 2021-03-31
Project acronym M-POWER
Project The Aggregate Implications of Market Power
Researcher (PI) Jan Kamiel S. De Loecker
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), SH1, ERC-2018-COG
Summary It has been long understood by economists that market power can negatively affect welfare by limiting output, stifling innovation, and introducing inefficiencies in the overall allocation of production. On the one hand, there is ample evidence from case-studies, that the presence of market power, in the form of explicit or implicit cartels and other practices of anti-competitive behavior, can lead to substantial damages to producers and consumers in a given market. On the other hand, very little is known about the broad cross- sectional and time-series patterns of market power across sectors, regions and countries. In addition, and perhaps more importantly, if market power is at all present, does it affect so-called aggregate outcomes in the product and factor markets? For example should the analysis of productivity growth and investment take into account the presence of market power, and does market power play a role in labor market outcomes, such as e.g. in the recently reported decline in the labor share across a variety of countries? This project aims to fill the gap in the literature by applying recently developed techniques to, first of all, systematically document markups, across firms in the entire economy, and secondly, to analyze the implications for producers and consumers in the economy at large, including both product and input markets. While the macroeconomic literature on misallocation has considered a variety of distortions that affect the allocation of inputs across plants, the project introduces an empirical framework to quantify the welfare loss from market power. Special attention is given to the impact on productive inefficiency. The overall aim is to better understand, and quantify, how market power affects the allocation of resources in the context of heterogeneous producers, and empirically quantify the trade-off of price and cost effects.
Summary
It has been long understood by economists that market power can negatively affect welfare by limiting output, stifling innovation, and introducing inefficiencies in the overall allocation of production. On the one hand, there is ample evidence from case-studies, that the presence of market power, in the form of explicit or implicit cartels and other practices of anti-competitive behavior, can lead to substantial damages to producers and consumers in a given market. On the other hand, very little is known about the broad cross- sectional and time-series patterns of market power across sectors, regions and countries. In addition, and perhaps more importantly, if market power is at all present, does it affect so-called aggregate outcomes in the product and factor markets? For example should the analysis of productivity growth and investment take into account the presence of market power, and does market power play a role in labor market outcomes, such as e.g. in the recently reported decline in the labor share across a variety of countries? This project aims to fill the gap in the literature by applying recently developed techniques to, first of all, systematically document markups, across firms in the entire economy, and secondly, to analyze the implications for producers and consumers in the economy at large, including both product and input markets. While the macroeconomic literature on misallocation has considered a variety of distortions that affect the allocation of inputs across plants, the project introduces an empirical framework to quantify the welfare loss from market power. Special attention is given to the impact on productive inefficiency. The overall aim is to better understand, and quantify, how market power affects the allocation of resources in the context of heterogeneous producers, and empirically quantify the trade-off of price and cost effects.
Max ERC Funding
1 575 000 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym MANGO
Project The determinants of cross-seeding of protein aggregation: a Multiple TANGO
Researcher (PI) Joost Schymkowitz
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS2, ERC-2014-CoG
Summary Amyloid-like protein aggregation is a process of protein assembly via the formation of intermolecular β-structures by short aggregation prone sequence regions. This occurs as an unwanted side-reaction of impaired protein folding in disease, but also for the construction of natural nanomaterials. Aggregates appear to be strongly enriched in particular proteins, suggesting that the assembly process itself is specific, but the cross-seeding of the aggregation of one protein by aggregates of another protein has also been reported.
The key question that I aim to address in this proposal is how the beta-interactions of the amino acids in the aggregate spine determine the trade-off between the specificity of aggregation versus cross-seeding. To this end, I will determine the energy difference between homotypic versus heterotypic interactions and how differences in sequence translate into energy gaps. Moreover, I will analyse the sequence variations of aggregation prone stretches in natural proteomes to understand the danger of widespread co-aggregation.
To achieve these outcomes, I will study the interactions and cross-seeding of aggregating proteins and model peptides in vitro and in cells. I will extract the sequence and structural determinants of co-aggregation, and employ these to construct novel bioinformatics algorithm that can accurately predict co-aggregation and cross-seeding. I will use these to analyse co-aggregation cascades in natural proteomes looking for mechanisms that protect them from wide-spread cross-seeding.
This work will have a significant impact on the understanding of the downstream effects of protein aggregates and may reveal co-aggregation networks in human diseases such as the major neurodegenerative diseases or cancer, potentially opening up new research lines on the mechanisms underlying these pathologies and thus identify targets for novel therapies.
Summary
Amyloid-like protein aggregation is a process of protein assembly via the formation of intermolecular β-structures by short aggregation prone sequence regions. This occurs as an unwanted side-reaction of impaired protein folding in disease, but also for the construction of natural nanomaterials. Aggregates appear to be strongly enriched in particular proteins, suggesting that the assembly process itself is specific, but the cross-seeding of the aggregation of one protein by aggregates of another protein has also been reported.
The key question that I aim to address in this proposal is how the beta-interactions of the amino acids in the aggregate spine determine the trade-off between the specificity of aggregation versus cross-seeding. To this end, I will determine the energy difference between homotypic versus heterotypic interactions and how differences in sequence translate into energy gaps. Moreover, I will analyse the sequence variations of aggregation prone stretches in natural proteomes to understand the danger of widespread co-aggregation.
To achieve these outcomes, I will study the interactions and cross-seeding of aggregating proteins and model peptides in vitro and in cells. I will extract the sequence and structural determinants of co-aggregation, and employ these to construct novel bioinformatics algorithm that can accurately predict co-aggregation and cross-seeding. I will use these to analyse co-aggregation cascades in natural proteomes looking for mechanisms that protect them from wide-spread cross-seeding.
This work will have a significant impact on the understanding of the downstream effects of protein aggregates and may reveal co-aggregation networks in human diseases such as the major neurodegenerative diseases or cancer, potentially opening up new research lines on the mechanisms underlying these pathologies and thus identify targets for novel therapies.
Max ERC Funding
1 995 523 €
Duration
Start date: 2015-06-01, End date: 2020-05-31
Project acronym METAPTPs
Project PROTEIN TYROSINE PHOSPHATASES IN METABOLIC DISEASES: OXIDATION, DYSFUNCTION AND THERAPEUTIC POTENTIAL
Researcher (PI) Esteban GURZOV AMARELO
Host Institution (HI) UNIVERSITE LIBRE DE BRUXELLES
Call Details Consolidator Grant (CoG), LS7, ERC-2018-COG
Summary Diabetes mellitus is characterised by hyperglycaemia caused by an absolute or relative insulin deficiency. The global prevalence of diabetes has reached more than 410 million individuals, underscoring the need for novel therapeutic strategies targeting the pathology as a multi-organ disease. Protein tyrosine phosphatases (PTPs) constitute a superfamily of enzymes that dephosphorylate tyrosine-phosphorylated proteins and oppose the actions of protein tyrosine kinases. My previous studies and preliminary data suggest that PTPs act as molecular switches for key signalling events in the development of diabetes, i.e. insulin/glucose/cytokine signalling. Dysregulation of these pathways results in metabolic consequences that are cell-specific. Oxidative stress abrogates the nucleophilic properties of the PTP active site and induces conformational changes that inhibit PTP activity and prevent substrate-binding. I have recently developed an innovative proteomic approach to quantify PTP oxidation in vivo and demonstrated that this occurs in liver/pancreas under pathological conditions, including obesity and inflammation. In this proposal, I aim to fully characterise the activity and oxidation status of PTPs in dysfunctional metabolic relevant cells in obesity and diabetes. Importantly, the crucial role of PTPs make them promising candidates for the treatment of metabolic disorders. I hypothesise that specific antioxidants, diets and/or adenovirus will restore PTP function and ameliorate the metabolic deleterious defects in pre-clinical studies. Over the next 5 years, I aim to:
• Identify the major oxidised PTPs in metabolic relevant tissues/cells in both obesity and diabetes.
• Determine the contribution of PTP inactivation in cellular responses to metabolic signalling in human samples.
• Assess the impact of tissue-specific PTP deficiency on the development of obesity and diabetes.
• Test novel therapeutic approaches targeting PTPs to prevent/reverse metabolic disorders.
Summary
Diabetes mellitus is characterised by hyperglycaemia caused by an absolute or relative insulin deficiency. The global prevalence of diabetes has reached more than 410 million individuals, underscoring the need for novel therapeutic strategies targeting the pathology as a multi-organ disease. Protein tyrosine phosphatases (PTPs) constitute a superfamily of enzymes that dephosphorylate tyrosine-phosphorylated proteins and oppose the actions of protein tyrosine kinases. My previous studies and preliminary data suggest that PTPs act as molecular switches for key signalling events in the development of diabetes, i.e. insulin/glucose/cytokine signalling. Dysregulation of these pathways results in metabolic consequences that are cell-specific. Oxidative stress abrogates the nucleophilic properties of the PTP active site and induces conformational changes that inhibit PTP activity and prevent substrate-binding. I have recently developed an innovative proteomic approach to quantify PTP oxidation in vivo and demonstrated that this occurs in liver/pancreas under pathological conditions, including obesity and inflammation. In this proposal, I aim to fully characterise the activity and oxidation status of PTPs in dysfunctional metabolic relevant cells in obesity and diabetes. Importantly, the crucial role of PTPs make them promising candidates for the treatment of metabolic disorders. I hypothesise that specific antioxidants, diets and/or adenovirus will restore PTP function and ameliorate the metabolic deleterious defects in pre-clinical studies. Over the next 5 years, I aim to:
• Identify the major oxidised PTPs in metabolic relevant tissues/cells in both obesity and diabetes.
• Determine the contribution of PTP inactivation in cellular responses to metabolic signalling in human samples.
• Assess the impact of tissue-specific PTP deficiency on the development of obesity and diabetes.
• Test novel therapeutic approaches targeting PTPs to prevent/reverse metabolic disorders.
Max ERC Funding
1 966 906 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym MetaRegulation
Project Metabolic regulation of metastatic growth
Researcher (PI) Sarah-Maria FENDT
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Metastatic growth of cancer cells requires extracellular matrix (ECM) production. The current understanding is that transcription factors regulate ECM production and thus metastatic growth by increasing the expression of collagen prolyl 4-hydroxylase (CP4H). In contrast, we recently discovered that metabolism regulates CP4H activity independently of the known transcription factors. Specifically, we found that loss of pyruvate metabolism inhibits CP4H activity and consequently ECM–dependent breast cancer cell growth. Based on this discovery we propose the novel concept that metabolism regulates metastatic growth by increasing ECM production.
In this project we will investigate the following questions: 1) What is the mechanism by which pyruvate regulates CP4H activity in breast cancer cells? To address this question we will investigate pyruvate metabolism and ECM production in 3D cultures of various breast cancer cell lines using 13C tracer analysis, metabolomics, and two-photon microscopy based ECM visualization. 2) How can this novel metabolic regulation be exploited to inhibit breast cancer-derived lung metastases growth? To address this question we will inhibit pyruvate metabolism in metastatic breast cancer mouse models using genetically modified cells and small molecules in combination with immuno- and chemotherapy. 3) How can this novel regulation be translated to different metastatic sites and cancers of different origin? To address this question we will determine the in vivo metabolism of breast cancer-, lung cancer-, and melanoma-derived liver and lung metastases (using metabolomics and 13C tracer analysis), and link it to ECM production (using two-photon microscopy based ECM visualization).
With this project we will deliver a novel concept by which metabolism regulates metastatic growth. In a long-term perspective we expect that targeting this novel metabolic regulation will pave the way for an unexplored approach to treat cancer metastases.
Summary
Metastatic growth of cancer cells requires extracellular matrix (ECM) production. The current understanding is that transcription factors regulate ECM production and thus metastatic growth by increasing the expression of collagen prolyl 4-hydroxylase (CP4H). In contrast, we recently discovered that metabolism regulates CP4H activity independently of the known transcription factors. Specifically, we found that loss of pyruvate metabolism inhibits CP4H activity and consequently ECM–dependent breast cancer cell growth. Based on this discovery we propose the novel concept that metabolism regulates metastatic growth by increasing ECM production.
In this project we will investigate the following questions: 1) What is the mechanism by which pyruvate regulates CP4H activity in breast cancer cells? To address this question we will investigate pyruvate metabolism and ECM production in 3D cultures of various breast cancer cell lines using 13C tracer analysis, metabolomics, and two-photon microscopy based ECM visualization. 2) How can this novel metabolic regulation be exploited to inhibit breast cancer-derived lung metastases growth? To address this question we will inhibit pyruvate metabolism in metastatic breast cancer mouse models using genetically modified cells and small molecules in combination with immuno- and chemotherapy. 3) How can this novel regulation be translated to different metastatic sites and cancers of different origin? To address this question we will determine the in vivo metabolism of breast cancer-, lung cancer-, and melanoma-derived liver and lung metastases (using metabolomics and 13C tracer analysis), and link it to ECM production (using two-photon microscopy based ECM visualization).
With this project we will deliver a novel concept by which metabolism regulates metastatic growth. In a long-term perspective we expect that targeting this novel metabolic regulation will pave the way for an unexplored approach to treat cancer metastases.
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym MISFIRES
Project Misfires and Market Innovation: Toward a Collaborative Turn in Organising Markets
Researcher (PI) Susi Geiger
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Consolidator Grant (CoG), SH3, ERC-2017-COG
Summary MISFIRES opens up new theoretical and empirical horizons for analysing and innovating ‘concerned markets’, where multiple actors’ interests, values and concerns clash. It asks how actors can engage with a market’s failures to challenge its organisation and make it more collaborative, more open to civic values and to social or political concerns. Concerned markets are contested by diverse actors with equally diverse perspectives and value measures. Evaluating such a market’s efficiency is as much of an illusion as redesigning its inner workings on a blackboard. We need new conceptual frameworks to understand how to innovate concerned markets from the inside to make them ‘better’ (as defined by concerned actors), and we urgently need empirical insights into how collaborative action in markets with such social and political stakes may translate into market change. MISFIRES relies on science and technology studies, pragmatic sociology and critical market studies to shift thinking around market organisation from failure and design to collaboration and experimentation. I devise an ethnographic and participatory inquiry to explore how a market’s failures can lead us to markets that are more attentive to and accommodating of the concerns they create. I choose three exemplary contested markets in healthcare (licensing of antiretroviral drugs, Hepatitis C pricing, and the sale of DNA information) and two emergent controversies to investigate the activities concerned actors undertake, and the instruments and devices they experiment with, to re-organise that market. MISFIRES will comprehensively map, engage in, and conceptualise this collaborative turn in organising markets. With this, MISFIRES will guide new academic and policy thinking by establishing how:
1) concerned actors voice and mobilise around the notion that a market has ‘failed’ them;
2) concerned actors seek to negotiate and address market failures;
3) this process may lead to ‘better’ markets.
Summary
MISFIRES opens up new theoretical and empirical horizons for analysing and innovating ‘concerned markets’, where multiple actors’ interests, values and concerns clash. It asks how actors can engage with a market’s failures to challenge its organisation and make it more collaborative, more open to civic values and to social or political concerns. Concerned markets are contested by diverse actors with equally diverse perspectives and value measures. Evaluating such a market’s efficiency is as much of an illusion as redesigning its inner workings on a blackboard. We need new conceptual frameworks to understand how to innovate concerned markets from the inside to make them ‘better’ (as defined by concerned actors), and we urgently need empirical insights into how collaborative action in markets with such social and political stakes may translate into market change. MISFIRES relies on science and technology studies, pragmatic sociology and critical market studies to shift thinking around market organisation from failure and design to collaboration and experimentation. I devise an ethnographic and participatory inquiry to explore how a market’s failures can lead us to markets that are more attentive to and accommodating of the concerns they create. I choose three exemplary contested markets in healthcare (licensing of antiretroviral drugs, Hepatitis C pricing, and the sale of DNA information) and two emergent controversies to investigate the activities concerned actors undertake, and the instruments and devices they experiment with, to re-organise that market. MISFIRES will comprehensively map, engage in, and conceptualise this collaborative turn in organising markets. With this, MISFIRES will guide new academic and policy thinking by establishing how:
1) concerned actors voice and mobilise around the notion that a market has ‘failed’ them;
2) concerned actors seek to negotiate and address market failures;
3) this process may lead to ‘better’ markets.
Max ERC Funding
1 923 780 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym MMS-II
Project The Mamlukisation of the Mamluk Sultanate II: historiography, political order and state formation in fifteenth-century Egypt and Syria
Researcher (PI) Jo Van Steenbergen
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), SH6, ERC-2015-CoG
Summary MMS-II pursues the hypothesis that the Mamluk sultanate was a cultural product constructed in the interaction between state formation and historiography. MMS-II follows up from the ERC-project MMS' focus on the social production of power networks in the Syro-Egyptian sultanate between the 1410s and 1460s, but it does so by directing the themes of political history and Arabic historiography towards entirely new, unexplored horizons. Current understanding of the late medieval Middle East continues to rely heavily on the rich Arabic historiographical production of the period. However, the particular nature, impact and value of this highly politicized historiography remains hugely underexplored and underestimated. MMS-II aims to remedy this, by arguing with and beyond instead of against or outside of this historiography’s subjectivities. It wants to understand its texts as products of particular socio-cultural practices and, at the same time, as a particular type of actors in such practices. Analytically, state formation will be prioritised as one extremely relevant patterned set of effects of such practices. Heuristically, the project will focus on practices related to claims of historical truth and order, asking how Arabic historiographical texts written between the 1410s and the 1460s related to the regularly changing social orders that were produced around the different sultans of these decades. My main hypothesis is that of these texts' active participation in the construction of a particular social memory of one longstanding sultanate of military slaves (‘Mamlukisation’). MMS-II has three specific objectives: the creation of a reference tool for Arabic historiographical texts from the period 1410-1470; the in-depth study of particular sets of these texts; the analysis of political vocabularies in these texts. By thus exploring the inter-subjective re/production of Arabic historiography MMS-II will generate a welcome cultural turn in late medieval Islamic history.
Summary
MMS-II pursues the hypothesis that the Mamluk sultanate was a cultural product constructed in the interaction between state formation and historiography. MMS-II follows up from the ERC-project MMS' focus on the social production of power networks in the Syro-Egyptian sultanate between the 1410s and 1460s, but it does so by directing the themes of political history and Arabic historiography towards entirely new, unexplored horizons. Current understanding of the late medieval Middle East continues to rely heavily on the rich Arabic historiographical production of the period. However, the particular nature, impact and value of this highly politicized historiography remains hugely underexplored and underestimated. MMS-II aims to remedy this, by arguing with and beyond instead of against or outside of this historiography’s subjectivities. It wants to understand its texts as products of particular socio-cultural practices and, at the same time, as a particular type of actors in such practices. Analytically, state formation will be prioritised as one extremely relevant patterned set of effects of such practices. Heuristically, the project will focus on practices related to claims of historical truth and order, asking how Arabic historiographical texts written between the 1410s and the 1460s related to the regularly changing social orders that were produced around the different sultans of these decades. My main hypothesis is that of these texts' active participation in the construction of a particular social memory of one longstanding sultanate of military slaves (‘Mamlukisation’). MMS-II has three specific objectives: the creation of a reference tool for Arabic historiographical texts from the period 1410-1470; the in-depth study of particular sets of these texts; the analysis of political vocabularies in these texts. By thus exploring the inter-subjective re/production of Arabic historiography MMS-II will generate a welcome cultural turn in late medieval Islamic history.
Max ERC Funding
2 000 000 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym MOOiRE
Project Mix-in Organic-InOrganic Redox Events for High Energy Batteries
Researcher (PI) Alexandru VLAD
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Consolidator Grant (CoG), PE8, ERC-2017-COG
Summary The ever-increasing demand for improved electrochemical energy storage technologies has fostered intense, worldwide and interdisciplinary research over the past decade. The field of positive electrode materials remains largely dominated by transition metal compounds in which only the redox of metal cations contributes to the energy storage. The development of new materials and technologies, wherein both anions and cations display reversible, multi-electron redox, is bound to strongly impact this field.
MOOiRÉ will challenge this goal through innovative approaches on Metal Organic Compounds and Frameworks (MOC/Fs) with mix-in many-electron reversible redox of both, transition metal cations and organic ligand anions. Building on our preliminary results MOOiRÉ will adopt an integrated approach. We will combine performance oriented MOC/F molecular design supported by in-operando analytical inspection tools with novel electrode engineering approaches to overcome the limitations and enable efficient electrochemical charge storage. Through this highly interdisciplinary research, MOOiRÉ intends to advance the science and technology of mix-in redox MOC/Fs for next generation batteries, supercapacitors and their hybrids.
MOOiRÉ will also be a major systematic study of the fundamentals of MOC/F-based energy storage systems in view of a practical implementation. The overall impact will extend beyond the energy science community: the developed knowledge, tools and procedures will influence research and development related to porous composite materials, sorption, ion exchange and electrocatalysis. In the context of energy storage, this will be a disruptive development, enabling the use of MOC/Fs electrodes, with superior levels of performance as compared to current technology, at affordable costs and based on novel protocols.
Summary
The ever-increasing demand for improved electrochemical energy storage technologies has fostered intense, worldwide and interdisciplinary research over the past decade. The field of positive electrode materials remains largely dominated by transition metal compounds in which only the redox of metal cations contributes to the energy storage. The development of new materials and technologies, wherein both anions and cations display reversible, multi-electron redox, is bound to strongly impact this field.
MOOiRÉ will challenge this goal through innovative approaches on Metal Organic Compounds and Frameworks (MOC/Fs) with mix-in many-electron reversible redox of both, transition metal cations and organic ligand anions. Building on our preliminary results MOOiRÉ will adopt an integrated approach. We will combine performance oriented MOC/F molecular design supported by in-operando analytical inspection tools with novel electrode engineering approaches to overcome the limitations and enable efficient electrochemical charge storage. Through this highly interdisciplinary research, MOOiRÉ intends to advance the science and technology of mix-in redox MOC/Fs for next generation batteries, supercapacitors and their hybrids.
MOOiRÉ will also be a major systematic study of the fundamentals of MOC/F-based energy storage systems in view of a practical implementation. The overall impact will extend beyond the energy science community: the developed knowledge, tools and procedures will influence research and development related to porous composite materials, sorption, ion exchange and electrocatalysis. In the context of energy storage, this will be a disruptive development, enabling the use of MOC/Fs electrodes, with superior levels of performance as compared to current technology, at affordable costs and based on novel protocols.
Max ERC Funding
1 997 541 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym MULTIPLES
Project The MULTIPLicity of supErnova progenitorS
Researcher (PI) Hugues Albert SANA
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary With stellar masses in the range of eight to several hundreds of solar masses, massive stars are among the most important cosmic engines, each individual object strongly impacting its local environment and populations of massive stars driving the evolution of galaxies throughout the history of the universe. Recently, I have shown that stars more massive than 15 Msun rarely, if at all, form and live in isolation but rather as part of a binary or higher-order multiple system. Understanding the life cycle of massive multiple systems, from their birth to their death as supernovae and long-duration gamma ray bursts, is one of the most pressing scientific questions in modern astrophysics.
To obtain the key observational breakthroughs needed to revolutionize our understanding of high-mass stars, my research program is developed along three themes:
(i) investigate the physical processes that set the multiplicity properties of massive stars,
(ii) establish the multiplicity properties of unevolved massive stars across the entire mass range,
(iii) identify and uniquely characterize post-interaction products.
The implementation of the MULTIPLES program involves ambitious time-resolved observational campaigns targeting large populations of massive stars at key stages of their pre-supernova evolution and in different metallicity environments. These campaigns will combine state-of-the-art spectroscopy and high-angular resolution techniques with novel multiplicity and atmosphere analysis methods appropriate for multiple systems. Upon completion, the observational constraints that will be obtained in this project will have implications that extend well beyond the sole domain of stellar astrophysics.
Summary
With stellar masses in the range of eight to several hundreds of solar masses, massive stars are among the most important cosmic engines, each individual object strongly impacting its local environment and populations of massive stars driving the evolution of galaxies throughout the history of the universe. Recently, I have shown that stars more massive than 15 Msun rarely, if at all, form and live in isolation but rather as part of a binary or higher-order multiple system. Understanding the life cycle of massive multiple systems, from their birth to their death as supernovae and long-duration gamma ray bursts, is one of the most pressing scientific questions in modern astrophysics.
To obtain the key observational breakthroughs needed to revolutionize our understanding of high-mass stars, my research program is developed along three themes:
(i) investigate the physical processes that set the multiplicity properties of massive stars,
(ii) establish the multiplicity properties of unevolved massive stars across the entire mass range,
(iii) identify and uniquely characterize post-interaction products.
The implementation of the MULTIPLES program involves ambitious time-resolved observational campaigns targeting large populations of massive stars at key stages of their pre-supernova evolution and in different metallicity environments. These campaigns will combine state-of-the-art spectroscopy and high-angular resolution techniques with novel multiplicity and atmosphere analysis methods appropriate for multiple systems. Upon completion, the observational constraints that will be obtained in this project will have implications that extend well beyond the sole domain of stellar astrophysics.
Max ERC Funding
1 991 243 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym NANOBUBBLE
Project Laser-induced vapour nanobubbles for intracellular delivery of nanomaterials and treatment of biofilm infections
Researcher (PI) Kevin Braeckmans
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), LS7, ERC-2014-CoG
Summary Lasers have found widespread application in medicine, such as for photothermal therapy. Gold nanoparticles (AuNPs), are often used as enhancers of the photothermal effect since they can efficiently absorb laser light and convert it into thermal energy. When absorbing intense nano- or picosecond laser pulses, AuNPs can become extremely hot and water vapor nanobubbles (VNBs) can emerge around these particles in tissue. A VNB will expand up to several hundred nm until the thermal energy from the AuNP is consumed, after which the bubble violently collapses, causing mechanical damage to neighbouring structures. In this project the aim is to make use of the disruptive mechanical force of VNBs to enable highly controlled and efficient delivery of macromolecules and nanoparticles in cells and biofilms. First, optical set-ups and microfluidics devices will be developed for high-throughput treatment of cells and biofilms. Second, VNBs will be used to achieve efficient cytosolic delivery of functional macromolecules in mammalian cells by cell membrane perforation or by inducing endosomal escape of endocytosed nanomedicine formulations that are functionalized with AuNPs. These concepts will be applied to tumorigenesis research, generation of induced pluripotent stem cells and modulation of effector T-cells for adoptive T-cell anti-cancer therapy. Third, contrast nanoparticles for cell imaging will be delivered into the cytosol of mammalian cells through VNB induced cell membrane perforation. This will enable more reliable in vivo imaging of labelled cells, labelling of subcellular structures for time-lapse microscopy and intracellular biosensing. Finally, [... confidential...] laser-induced VNBs will be used [... confidential...] for improved eradication of biofilms. This concept will be applied to biofilm infections in dental root canals and chronic wounds.
Summary
Lasers have found widespread application in medicine, such as for photothermal therapy. Gold nanoparticles (AuNPs), are often used as enhancers of the photothermal effect since they can efficiently absorb laser light and convert it into thermal energy. When absorbing intense nano- or picosecond laser pulses, AuNPs can become extremely hot and water vapor nanobubbles (VNBs) can emerge around these particles in tissue. A VNB will expand up to several hundred nm until the thermal energy from the AuNP is consumed, after which the bubble violently collapses, causing mechanical damage to neighbouring structures. In this project the aim is to make use of the disruptive mechanical force of VNBs to enable highly controlled and efficient delivery of macromolecules and nanoparticles in cells and biofilms. First, optical set-ups and microfluidics devices will be developed for high-throughput treatment of cells and biofilms. Second, VNBs will be used to achieve efficient cytosolic delivery of functional macromolecules in mammalian cells by cell membrane perforation or by inducing endosomal escape of endocytosed nanomedicine formulations that are functionalized with AuNPs. These concepts will be applied to tumorigenesis research, generation of induced pluripotent stem cells and modulation of effector T-cells for adoptive T-cell anti-cancer therapy. Third, contrast nanoparticles for cell imaging will be delivered into the cytosol of mammalian cells through VNB induced cell membrane perforation. This will enable more reliable in vivo imaging of labelled cells, labelling of subcellular structures for time-lapse microscopy and intracellular biosensing. Finally, [... confidential...] laser-induced VNBs will be used [... confidential...] for improved eradication of biofilms. This concept will be applied to biofilm infections in dental root canals and chronic wounds.
Max ERC Funding
2 236 250 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym NeoplAT
Project Neoplatonism and Abrahamic Traditions. A Comparative Analysis of the Middle East, Byzantium and the Latin West (9th-16th Centuries)
Researcher (PI) Dragos Gheorghe CALMA
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Consolidator Grant (CoG), SH5, ERC-2017-COG
Summary NeoplAT offers a fresh and thoroughly documented account of the impact of Pagan Neoplatonism on the Abrahamic traditions. It focuses mainly, but not exclusively, on the Elements of Theology of Proclus (fifth century) which occupies a unique place in the history of thought. Together with its ninth-century Arabic adaptation, the Book of Causes, it has been translated, adapted, refuted and commented upon by Muslim, Jewish and Christian thinkers across centuries, up to the dawn of modernity. Despite a renewed interest in Proclus’ legacy in recent years, one still observes a tendency to repeat conventional hypotheses focused on a limited range of well-studied authors. This project radically challenges these conservative narratives both by analysing invaluable, previously ignored resources and by developing an innovative comparative approach that embraces a variety of research methods and disciplines. Specialists in Arabic, Greek and Latin history of ideas, philology, palaeography and lexicography develop an intense interdisciplinary research laboratory investigating the influence of Proclus on the mutual exchanges between the scriptural monotheisms from the ninth to the sixteenth centuries. Based on fundamental archival examinations in underused library collections, NeoplAT aims (1) to identify new Arabic and Latin manuscripts and to continue to explore a corpus of texts recently discovered by the PI, representing a largely unknown intellectual heritage; (2) to retrace the scholarly networks by which Neoplatonism was transmitted between the Middle East, Byzantium and the Latin West, with particular attention to the dynamics of exchange within each cultural milieu; (3) to analyse the impact of Proclus on the history of metaphysics and on the relations between philosophy and theology within the Abrahamic traditions. NeoplAT achieves these goals through a collaborative, adapted methodology; its specific outputs will provide research tools for the broader academic community.
Summary
NeoplAT offers a fresh and thoroughly documented account of the impact of Pagan Neoplatonism on the Abrahamic traditions. It focuses mainly, but not exclusively, on the Elements of Theology of Proclus (fifth century) which occupies a unique place in the history of thought. Together with its ninth-century Arabic adaptation, the Book of Causes, it has been translated, adapted, refuted and commented upon by Muslim, Jewish and Christian thinkers across centuries, up to the dawn of modernity. Despite a renewed interest in Proclus’ legacy in recent years, one still observes a tendency to repeat conventional hypotheses focused on a limited range of well-studied authors. This project radically challenges these conservative narratives both by analysing invaluable, previously ignored resources and by developing an innovative comparative approach that embraces a variety of research methods and disciplines. Specialists in Arabic, Greek and Latin history of ideas, philology, palaeography and lexicography develop an intense interdisciplinary research laboratory investigating the influence of Proclus on the mutual exchanges between the scriptural monotheisms from the ninth to the sixteenth centuries. Based on fundamental archival examinations in underused library collections, NeoplAT aims (1) to identify new Arabic and Latin manuscripts and to continue to explore a corpus of texts recently discovered by the PI, representing a largely unknown intellectual heritage; (2) to retrace the scholarly networks by which Neoplatonism was transmitted between the Middle East, Byzantium and the Latin West, with particular attention to the dynamics of exchange within each cultural milieu; (3) to analyse the impact of Proclus on the history of metaphysics and on the relations between philosophy and theology within the Abrahamic traditions. NeoplAT achieves these goals through a collaborative, adapted methodology; its specific outputs will provide research tools for the broader academic community.
Max ERC Funding
1 992 590 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym NoMePaCa
Project Novel Metabolic Pathways in Cancer
Researcher (PI) Guido BOMMER
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Metabolic adaptations in central carbon metabolism play a key role in cancer. Yet, the success of therapeutic interventions in major pathways has been limited, although some of the changes have been known to exist for almost 100 years.
Biochemical textbooks present intermediary metabolism as something canonical, and the molecular identity of most enzymes required for the production of known intermediary metabolites is indeed known. Yet, the function of many putative enzymes is still unknown, indicating that novel metabolic pathways containing so far unknown metabolites exist.
We have recently discovered a novel metabolic pathway containing two metabolites that have never been described before. Preliminary data indicate that this pathway might play an important role in a group of cancers sharing specific mutations. Furthermore, genetic inactivation of a component of this pathway in mice is compatible with normal development, indicating that pharmacological inhibition should be well tolerated.
In the present project, we will use a multi-dimensional approach combining biochemical, genetic and pharmacological techniques, to identify missing components of this metabolic pathway and assess its role in cellular metabolism and cancer development. In the process of this, we will develop tools that will allow us to test whether this pathway can be targeted in vivo. Thus, our work will lead to the description of a novel metabolic pathway, should reveal novel regulatory circuits and might open novel therapeutic avenues in cancer and beyond.
Summary
Metabolic adaptations in central carbon metabolism play a key role in cancer. Yet, the success of therapeutic interventions in major pathways has been limited, although some of the changes have been known to exist for almost 100 years.
Biochemical textbooks present intermediary metabolism as something canonical, and the molecular identity of most enzymes required for the production of known intermediary metabolites is indeed known. Yet, the function of many putative enzymes is still unknown, indicating that novel metabolic pathways containing so far unknown metabolites exist.
We have recently discovered a novel metabolic pathway containing two metabolites that have never been described before. Preliminary data indicate that this pathway might play an important role in a group of cancers sharing specific mutations. Furthermore, genetic inactivation of a component of this pathway in mice is compatible with normal development, indicating that pharmacological inhibition should be well tolerated.
In the present project, we will use a multi-dimensional approach combining biochemical, genetic and pharmacological techniques, to identify missing components of this metabolic pathway and assess its role in cellular metabolism and cancer development. In the process of this, we will develop tools that will allow us to test whether this pathway can be targeted in vivo. Thus, our work will lead to the description of a novel metabolic pathway, should reveal novel regulatory circuits and might open novel therapeutic avenues in cancer and beyond.
Max ERC Funding
1 989 103 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym NovelEchoes
Project Novel Echoes. Ancient Novelistic Receptions and Concepts of Fiction in Late Antique and Medieval Secular Narrative from East to West
Researcher (PI) Koen DE TEMMERMAN
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), SH5, ERC-2018-COG
Summary This project offers the first comprehensive reconstruction and interpretation of receptions of ancient novels (1st-4th cent. AD) in (Greek, Arabic and western vernacular) secular narrative from Late Antiquity and the early Middle Ages. Novel Echoes follows up from the ERC Starting Grant project Novel Saints (on hagiography). It does so by taking ancient novelistic receptions towards entirely new, unexplored horizons.
Our knowledge about the early history of the novel is incomplete. Receptions of ancient novels have been studied for periods from the 11th and 12th cent. onwards but not systematically examined for preceding eras – much to the detriment of the study of both narrative (then and later) and the history of fiction. This project pursues the hypothesis that different secular, narrative traditions in this period were impacted (directly or indirectly) by ancient novelistic influences of different kinds and adopted (and adapted) them to various degrees and purposes; and that, since the ancient novel is a genre defined by its own fictionality, its reception in later narrative impacts notions of truth and authentication in ways that other (often more authoritative) literary models (e.g. Homer and the Bible) do not.
Novel Echoes strikes a balance between breath and depth by envisaging three objectives:
1. the creation of a reference tool charting all types of novelistic influence in secular narrative from the 4th to the 12th cent.;
2. the in-depth study of particular sets of texts and the analysis of their implicit conceptualizations of truth, authentication, fiction and narrative;
3. the reconstruction of routes of transmission in both the West and the East.
Given the project’s innovative focus, it will enhance our understanding of both the corpus texts and the early history of the novel; place the study of corpus texts on an improved methodological footing; and contribute to the theoretical study of the much-vexed question of how to conceptualize fiction.
Summary
This project offers the first comprehensive reconstruction and interpretation of receptions of ancient novels (1st-4th cent. AD) in (Greek, Arabic and western vernacular) secular narrative from Late Antiquity and the early Middle Ages. Novel Echoes follows up from the ERC Starting Grant project Novel Saints (on hagiography). It does so by taking ancient novelistic receptions towards entirely new, unexplored horizons.
Our knowledge about the early history of the novel is incomplete. Receptions of ancient novels have been studied for periods from the 11th and 12th cent. onwards but not systematically examined for preceding eras – much to the detriment of the study of both narrative (then and later) and the history of fiction. This project pursues the hypothesis that different secular, narrative traditions in this period were impacted (directly or indirectly) by ancient novelistic influences of different kinds and adopted (and adapted) them to various degrees and purposes; and that, since the ancient novel is a genre defined by its own fictionality, its reception in later narrative impacts notions of truth and authentication in ways that other (often more authoritative) literary models (e.g. Homer and the Bible) do not.
Novel Echoes strikes a balance between breath and depth by envisaging three objectives:
1. the creation of a reference tool charting all types of novelistic influence in secular narrative from the 4th to the 12th cent.;
2. the in-depth study of particular sets of texts and the analysis of their implicit conceptualizations of truth, authentication, fiction and narrative;
3. the reconstruction of routes of transmission in both the West and the East.
Given the project’s innovative focus, it will enhance our understanding of both the corpus texts and the early history of the novel; place the study of corpus texts on an improved methodological footing; and contribute to the theoretical study of the much-vexed question of how to conceptualize fiction.
Max ERC Funding
1 999 375 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym OPTIMA
Project PrOcess intensification and innovation in olefin ProducTIon by Multiscale Analysis and design
Researcher (PI) Kevin Jean-Marie VAN GEEM
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), PE8, ERC-2018-COG
Summary New manufacturing techniques such as 3D printing have the potential to drastically transform the chemical industry. Novel, complex, integrated reactor designs can now be created, that will allow to unlock alternative chemical routes, such as for methane activation. Driven by process intensification and the power of high performance computing, this project will enhance heat and mass transfer in advanced chemical reactors by multiscale modelling and experimentation. OPTIMA aims to:
(1) develop in silico novel 3D reactor technologies and concepts with significantly improved selectivity and heat transfer by the use of additive manufacturing;
(2) generate new fundamental understanding of kinetics, heat transfer and mass transfer by using advanced measuring techniques for processes of both current and future importance;
(3) demonstrate the practical applicability of an open-source multiscale large eddy simulation (LES) platform in combination with finite rate chemistry for turbulent reacting flows;
(4) transform the chemical industry by valorising methane and converting it to a platform molecule through oxidative coupling of methane.
OPTIMA will focus on two olefin production processes of industrial and social importance in Europe, the exothermal oxidative coupling of methane and the endothermic steam cracking, demonstrating the universality of the proposed new paradigm. Starting from fundamental experiments and kinetic modelling (WP1), detailed chemistry will be implemented in an open-source LES multiscale modelling framework (WP2) generating in silico novel 3D reactor technologies with significantly improved selectivity (WP3). The power of the approach will be ultimately demonstrated in a novel, 3D integrated reactor, in which the studied exothermic and endothermic processes are cleverly combined (WP4).
OPTIMA will pave the way for designing the 3D reactors of tomorrow and promote the new techniques and tools that will be driving innovation in the next decades.
Summary
New manufacturing techniques such as 3D printing have the potential to drastically transform the chemical industry. Novel, complex, integrated reactor designs can now be created, that will allow to unlock alternative chemical routes, such as for methane activation. Driven by process intensification and the power of high performance computing, this project will enhance heat and mass transfer in advanced chemical reactors by multiscale modelling and experimentation. OPTIMA aims to:
(1) develop in silico novel 3D reactor technologies and concepts with significantly improved selectivity and heat transfer by the use of additive manufacturing;
(2) generate new fundamental understanding of kinetics, heat transfer and mass transfer by using advanced measuring techniques for processes of both current and future importance;
(3) demonstrate the practical applicability of an open-source multiscale large eddy simulation (LES) platform in combination with finite rate chemistry for turbulent reacting flows;
(4) transform the chemical industry by valorising methane and converting it to a platform molecule through oxidative coupling of methane.
OPTIMA will focus on two olefin production processes of industrial and social importance in Europe, the exothermal oxidative coupling of methane and the endothermic steam cracking, demonstrating the universality of the proposed new paradigm. Starting from fundamental experiments and kinetic modelling (WP1), detailed chemistry will be implemented in an open-source LES multiscale modelling framework (WP2) generating in silico novel 3D reactor technologies with significantly improved selectivity (WP3). The power of the approach will be ultimately demonstrated in a novel, 3D integrated reactor, in which the studied exothermic and endothermic processes are cleverly combined (WP4).
OPTIMA will pave the way for designing the 3D reactors of tomorrow and promote the new techniques and tools that will be driving innovation in the next decades.
Max ERC Funding
1 995 000 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym PaDC
Project Property and Democratic Citizenship: The Impact of Moral Assumptions, Policy Regulations, and Market Mechanisms on Experiences of Eviction
Researcher (PI) Marianne MAECKELBERGH
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), SH5, ERC-2017-COG
Summary This research explores the impact of property regimes on experiences of citizenship across five democratic countries: Greece, The Netherlands, Spain, the United Kingdom and the United States. Property rights are a foundational element of democracy, but the right to private property exists in tension with values of equality and a right to shelter. An investigation of property is urgent given the recent normalisation of economic models that have resulted in millions of evictions every year. Through an ethnographic study of eviction this research provides a comparative analysis of the benefits and limitations of contemporary property regimes for democratic citizenship. A property regime is defined as the combination of moral discourses about real landed property with the regulatory policies and market mechanisms that shape the use, sale and purchase of property. The selected countries represent a diverse set of property regimes, but all five are experiencing a housing and eviction crisis that has created new geographies of disadvantage, exacerbated inequalities of race, gender, age and income, and led to social unrest. Building on the PI's previous research into citizen-driven democratic innovation, this research critically examines the concept of property through a novel methodology dubbed 'conflictive context construction' that employs a qualitative approach centred on moments of conflict resulting from the use, sale or purchase of specific properties to answer: how do property regimes shape people's experience of citizenship and what can this tell us about the role of property in contemporary models of democratic governance? The high gain of this research lies in the opportunity to rethink the role of property within democracy based on extensive empirical data about how moral assumptions combine with particular ways of regulating and marketing property to exacerbate, alleviate or create inequalities within contemporary experiences of democratic citizenship.
Summary
This research explores the impact of property regimes on experiences of citizenship across five democratic countries: Greece, The Netherlands, Spain, the United Kingdom and the United States. Property rights are a foundational element of democracy, but the right to private property exists in tension with values of equality and a right to shelter. An investigation of property is urgent given the recent normalisation of economic models that have resulted in millions of evictions every year. Through an ethnographic study of eviction this research provides a comparative analysis of the benefits and limitations of contemporary property regimes for democratic citizenship. A property regime is defined as the combination of moral discourses about real landed property with the regulatory policies and market mechanisms that shape the use, sale and purchase of property. The selected countries represent a diverse set of property regimes, but all five are experiencing a housing and eviction crisis that has created new geographies of disadvantage, exacerbated inequalities of race, gender, age and income, and led to social unrest. Building on the PI's previous research into citizen-driven democratic innovation, this research critically examines the concept of property through a novel methodology dubbed 'conflictive context construction' that employs a qualitative approach centred on moments of conflict resulting from the use, sale or purchase of specific properties to answer: how do property regimes shape people's experience of citizenship and what can this tell us about the role of property in contemporary models of democratic governance? The high gain of this research lies in the opportunity to rethink the role of property within democracy based on extensive empirical data about how moral assumptions combine with particular ways of regulating and marketing property to exacerbate, alleviate or create inequalities within contemporary experiences of democratic citizenship.
Max ERC Funding
1 970 688 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym PASTFORWARD
Project Development trajectories of temperate forest plant communities under global change: combining hindsight and forecasting (PASTFORWARD)
Researcher (PI) Kris Verheyen
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), LS9, ERC-2013-CoG
Summary "The last decades are characterized by an upsurge of research on the impacts of global environmental changes on forests. Climate warming, atmospheric deposition of acidifying and eutrophying pollutants and land-use change are three of the most important threats to biodiversity in temperate forests. However, most studies focused on the effects of single factors over short time periods, such that our ability to predict the combined effects of multiple global change drivers over longer time periods remains rudimentary. The lack of knowledge on effects of global change drivers on forest herb layer communities is particularly striking, since the herb layer contains the largest part of vascular plant diversity in temperate forests and provides key ecosystem services. Therefore PASTFORWARD will build an integrative understanding of the interactive effects of land-use change, atmospheric deposition and climate warming on forest herb layer communities, starting from the insight that changes in herb layer communities are driven primarily by past land use, but can be modulated by atmospheric deposition, climate warming and forest management. Indeed, it is still largely ignored that sensible predictions of herb layer development trajectories under global change can only be made by taking the forest’s land-use history into account, as legacies of past land use can leave century-long imprints on forest herb layer communities. Three complementary data sources (a database with resurveyed vegetation plots, field measurements in a pan-European network of resurvey plots, and a multi-factor experiment) combined with an ecosystem model will be used. Furthermore, concepts and tools from different disciplines, ranging from history over sylviculture to community and ecosystem ecology will be applied. The results of PASTFORWARD will help forest managers and policy makers in taking more informed decisions on how to combine resource extraction with biodiversity conservation."
Summary
"The last decades are characterized by an upsurge of research on the impacts of global environmental changes on forests. Climate warming, atmospheric deposition of acidifying and eutrophying pollutants and land-use change are three of the most important threats to biodiversity in temperate forests. However, most studies focused on the effects of single factors over short time periods, such that our ability to predict the combined effects of multiple global change drivers over longer time periods remains rudimentary. The lack of knowledge on effects of global change drivers on forest herb layer communities is particularly striking, since the herb layer contains the largest part of vascular plant diversity in temperate forests and provides key ecosystem services. Therefore PASTFORWARD will build an integrative understanding of the interactive effects of land-use change, atmospheric deposition and climate warming on forest herb layer communities, starting from the insight that changes in herb layer communities are driven primarily by past land use, but can be modulated by atmospheric deposition, climate warming and forest management. Indeed, it is still largely ignored that sensible predictions of herb layer development trajectories under global change can only be made by taking the forest’s land-use history into account, as legacies of past land use can leave century-long imprints on forest herb layer communities. Three complementary data sources (a database with resurveyed vegetation plots, field measurements in a pan-European network of resurvey plots, and a multi-factor experiment) combined with an ecosystem model will be used. Furthermore, concepts and tools from different disciplines, ranging from history over sylviculture to community and ecosystem ecology will be applied. The results of PASTFORWARD will help forest managers and policy makers in taking more informed decisions on how to combine resource extraction with biodiversity conservation."
Max ERC Funding
1 887 780 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym PhotonICSWARM
Project Photonic Integrated Circuits using Scattered Waveguide elements in an Adaptive, Reconfigurable Mesh.
Researcher (PI) Wim BOGAERTS
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), PE7, ERC-2016-COG
Summary In PhotonICSWARM, I will use silicon photonics technology to build general-purpose, programmable optical chips that rely on topologies of distributed waveguide circuits governed by distributed control algorithms.
In silicon photonics, optical signals are transported along waveguides on photonic integrated circuits and processed by elements that filter specific wavelengths or modulate signals. Silicon photonics is the choice technology for high-speed communication links, but also for different types of sensors. However, photonic circuits are still very simple compared to today's electronics, because they use connectivity topologies where light follows a single path.
The optical chip concepts I propose in PhotonICSWARM start from radically different topologies, which will allow 1-2 orders of magnitude scaling in complexity. They are based on tightly interconnected, distributed optical signal paths. This high connectivity will enable much more complex optical functions, and to realise these I will apply adaptive, distributed control algorithms. I will explore different optical waveguide concepts: waveguide meshes, phased arrays, lattices of resonators, lateral leakage and 2-D holographic gratings. These will be fabricated on existing state-of-the-art technology platforms, so PhotonICSWARM will rather revolve around the theory, simulation, design and characterisation methodologies.
With these distributed photonic circuits I will create programmable photonics that can be applied for many applications, as the optical equivalent of electronic field-programmable gate arrays (FPGA). They can enable on-chip parallel optical signal processing for pattern recognition or real-time encryption of high-bitrate optical data streams. Programmable circuits can speed up the research cycle, taking much less time to test new photonic chip concepts, and over time make integrated photonics accessible to the 'Maker community'.
Summary
In PhotonICSWARM, I will use silicon photonics technology to build general-purpose, programmable optical chips that rely on topologies of distributed waveguide circuits governed by distributed control algorithms.
In silicon photonics, optical signals are transported along waveguides on photonic integrated circuits and processed by elements that filter specific wavelengths or modulate signals. Silicon photonics is the choice technology for high-speed communication links, but also for different types of sensors. However, photonic circuits are still very simple compared to today's electronics, because they use connectivity topologies where light follows a single path.
The optical chip concepts I propose in PhotonICSWARM start from radically different topologies, which will allow 1-2 orders of magnitude scaling in complexity. They are based on tightly interconnected, distributed optical signal paths. This high connectivity will enable much more complex optical functions, and to realise these I will apply adaptive, distributed control algorithms. I will explore different optical waveguide concepts: waveguide meshes, phased arrays, lattices of resonators, lateral leakage and 2-D holographic gratings. These will be fabricated on existing state-of-the-art technology platforms, so PhotonICSWARM will rather revolve around the theory, simulation, design and characterisation methodologies.
With these distributed photonic circuits I will create programmable photonics that can be applied for many applications, as the optical equivalent of electronic field-programmable gate arrays (FPGA). They can enable on-chip parallel optical signal processing for pattern recognition or real-time encryption of high-bitrate optical data streams. Programmable circuits can speed up the research cycle, taking much less time to test new photonic chip concepts, and over time make integrated photonics accessible to the 'Maker community'.
Max ERC Funding
1 990 000 €
Duration
Start date: 2017-04-01, End date: 2022-03-31
Project acronym PICOMETRICS
Project Picometer metrology for light-element nanostructures: making every electron count
Researcher (PI) Sandra VAN AERT
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Consolidator Grant (CoG), PE3, ERC-2017-COG
Summary Understanding nanostructures down to the atomic level is the key to optimise the design of advanced materials with revolutionary novel properties. This requires characterisation methods enabling one to quantify atomic structures with high precision.
The strong interaction of accelerated electrons with matter makes that transmission electron microscopy is one of the most powerful techniques for this purpose. However, beam damage, induced by the high energy electrons, strongly hampers a detailed interpretation. To overcome this problem, I will usher electron microscopy in a new era of non-destructive picometer metrology. This is an extremely challenging goal in modern technology because of the increasing complexity of nanostructures and the role of light elements such as lithium or hydrogen. Non-destructive picometer metrology will allow us to answer the question: what is the position, composition and bonding of every single atom in a nanomaterial even for light elements?
There has been significant progress with electron microscopy to study beam-hard materials. Yet, major problems exist for radiation-sensitive nanostructures because of the lack of physics-based models, detailed statistical analyses, and optimal design of experiments in a self-consistent computational framework. In this project, novel data-driven methods will be combined with the latest experimental capabilities to locate and identify atoms, to detect light elements, to determine the three-dimensional ordering, and to measure the oxidation state from single low-dose recordings. The required electron dose is envisaged to be four orders of magnitude lower than what is nowadays used. In this manner, beam damage will be drastically reduced or even be ruled out completely.
The results of my programme will enable precise characterisation of nanostructures in their native state; a prerequisite for understanding their properties. Clearly this is important for the design of a broad range of nanomaterials.
Summary
Understanding nanostructures down to the atomic level is the key to optimise the design of advanced materials with revolutionary novel properties. This requires characterisation methods enabling one to quantify atomic structures with high precision.
The strong interaction of accelerated electrons with matter makes that transmission electron microscopy is one of the most powerful techniques for this purpose. However, beam damage, induced by the high energy electrons, strongly hampers a detailed interpretation. To overcome this problem, I will usher electron microscopy in a new era of non-destructive picometer metrology. This is an extremely challenging goal in modern technology because of the increasing complexity of nanostructures and the role of light elements such as lithium or hydrogen. Non-destructive picometer metrology will allow us to answer the question: what is the position, composition and bonding of every single atom in a nanomaterial even for light elements?
There has been significant progress with electron microscopy to study beam-hard materials. Yet, major problems exist for radiation-sensitive nanostructures because of the lack of physics-based models, detailed statistical analyses, and optimal design of experiments in a self-consistent computational framework. In this project, novel data-driven methods will be combined with the latest experimental capabilities to locate and identify atoms, to detect light elements, to determine the three-dimensional ordering, and to measure the oxidation state from single low-dose recordings. The required electron dose is envisaged to be four orders of magnitude lower than what is nowadays used. In this manner, beam damage will be drastically reduced or even be ruled out completely.
The results of my programme will enable precise characterisation of nanostructures in their native state; a prerequisite for understanding their properties. Clearly this is important for the design of a broad range of nanomaterials.
Max ERC Funding
1 998 750 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym POLYADAPT
Project Molecular-genetic mechanisms of extreme adaptation in a polyphagous agricultural pest
Researcher (PI) Thomas Bert VAN LEEUWEN
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary Generalist (polyphagous) herbivores can feed and reproduce on many different plant species and include some of the most pesticide resistant and notorious pests in agriculture. An evolutionary link between host plant range and the development of pesticide resistance has been suggested. Although crucial for devising efficient crop protection strategies, the mechanisms underlying rapid adaptation are not well understood, especially in generalists. The spider mite Tetranychus urticae is a global pest known to feed on 1,100 different hosts from 140 plant families, including most major crops. With experimental advances and new tools developed for T. urticae, we are now poised for fundamental advances in understanding the molecular genetic make-up of adaption in generalist pests. We will generate a large collection of fully inbred and resistant mite strains and describe the sampled genomic variation in the context of selection and adaptation. We will study gene regulation mechanisms and quantify cis versus trans regulation of gene expression on a genome wide scale. We will then create a unique population resource that will allow us to map master regulators of gene expression and construct a gene-regulatory network of adaptation responsive genes. In a highly replicated experimental evolution study, combined with Bulk Segregant Analysis (BSA), we will uncover, without a prior hypothesis, the genomic loci that underlie complex cases of resistance and plant adaptation. A core set of adaptation genes will be validated by functional expression and high-throughput interaction assays. Further validation will come from the development of genome editing tools. In summary, POLYADAPT will exploit the genomic tools now available for spider mites to elucidate regulatory and causal variants underlying the extreme adaptation potential of polyphagous pests. This will in the long term lead to innovative methods of pest management.
Summary
Generalist (polyphagous) herbivores can feed and reproduce on many different plant species and include some of the most pesticide resistant and notorious pests in agriculture. An evolutionary link between host plant range and the development of pesticide resistance has been suggested. Although crucial for devising efficient crop protection strategies, the mechanisms underlying rapid adaptation are not well understood, especially in generalists. The spider mite Tetranychus urticae is a global pest known to feed on 1,100 different hosts from 140 plant families, including most major crops. With experimental advances and new tools developed for T. urticae, we are now poised for fundamental advances in understanding the molecular genetic make-up of adaption in generalist pests. We will generate a large collection of fully inbred and resistant mite strains and describe the sampled genomic variation in the context of selection and adaptation. We will study gene regulation mechanisms and quantify cis versus trans regulation of gene expression on a genome wide scale. We will then create a unique population resource that will allow us to map master regulators of gene expression and construct a gene-regulatory network of adaptation responsive genes. In a highly replicated experimental evolution study, combined with Bulk Segregant Analysis (BSA), we will uncover, without a prior hypothesis, the genomic loci that underlie complex cases of resistance and plant adaptation. A core set of adaptation genes will be validated by functional expression and high-throughput interaction assays. Further validation will come from the development of genome editing tools. In summary, POLYADAPT will exploit the genomic tools now available for spider mites to elucidate regulatory and causal variants underlying the extreme adaptation potential of polyphagous pests. This will in the long term lead to innovative methods of pest management.
Max ERC Funding
1 926 250 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym PV-COAT
Project PROSTHETIC VALVE BIOACTIVE SURFACE COATING TO REDUCE THE PREVALENCE OF THROMBOSIS
Researcher (PI) Patrizio Lancellotti
Host Institution (HI) UNIVERSITE DE LIEGE
Call Details Consolidator Grant (CoG), LS7, ERC-2014-CoG
Summary Heart valve prostheses are currently among the most widely used cardiovascular devices. To maintain enduring optimal biomechanical properties, the mechanical prostheses, based on carbon, metallic and polymeric components, require permanent anticoagulation, which often leads to adverse reactions, i.e. higher risks of thromboembolism, hemorrhage, and hemolysis.
Continuing advances in heart valve prosthesis design and in techniques for implantation have improved the survival length and quality of life of patients who receive these devices. In an ongoing effort to develop a more durable and biocompatible heart valve prosthesis, researchers have used a variety of techniques to determine the suitability of given valve materials for a given implant application. In recent years, advances in polymer science have given rise to new ways of improving artificial cardiovascular devices biostability and hemocompatibility.
To date, no polymer coated mechanical prosthetic heart valve exists.
The present research project aims to improve the hemocompatibility and long-term in vivo performance of mechanical prosthetic heart valves by reducing contact-induced thrombosis through bioactive polymer prosthetic valve surface coating.
These new coated prosthetic heart valves will be designed for hemodynamic performance and durability similar to uncoated materials, combined with a greater thromboresistance, both in vitro and in animal studies.
With these promising advances, bioactive surface coated prosthetic heart valves could replace previous generation of prosthetic valves in the near future. The utmost perspective of the current project paves the way for the development of new bioactive coating for other implantable cardiovascular devices or materials.
Summary
Heart valve prostheses are currently among the most widely used cardiovascular devices. To maintain enduring optimal biomechanical properties, the mechanical prostheses, based on carbon, metallic and polymeric components, require permanent anticoagulation, which often leads to adverse reactions, i.e. higher risks of thromboembolism, hemorrhage, and hemolysis.
Continuing advances in heart valve prosthesis design and in techniques for implantation have improved the survival length and quality of life of patients who receive these devices. In an ongoing effort to develop a more durable and biocompatible heart valve prosthesis, researchers have used a variety of techniques to determine the suitability of given valve materials for a given implant application. In recent years, advances in polymer science have given rise to new ways of improving artificial cardiovascular devices biostability and hemocompatibility.
To date, no polymer coated mechanical prosthetic heart valve exists.
The present research project aims to improve the hemocompatibility and long-term in vivo performance of mechanical prosthetic heart valves by reducing contact-induced thrombosis through bioactive polymer prosthetic valve surface coating.
These new coated prosthetic heart valves will be designed for hemodynamic performance and durability similar to uncoated materials, combined with a greater thromboresistance, both in vitro and in animal studies.
With these promising advances, bioactive surface coated prosthetic heart valves could replace previous generation of prosthetic valves in the near future. The utmost perspective of the current project paves the way for the development of new bioactive coating for other implantable cardiovascular devices or materials.
Max ERC Funding
2 367 055 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym PyroPop
Project Mechanisms and regulation of inflammasome-associated programmed cell death
Researcher (PI) Mohamed Lamkanfi
Host Institution (HI) JANSSEN PHARMACEUTICA NV
Call Details Consolidator Grant (CoG), LS3, ERC-2015-CoG
Summary Programmed cell death is essential for homeostasis, and its deregulation contributes to human disease. Inflammasome-induced pyroptosis of infected macrophages contributes to host defense against infections, but the concomitant release of inflammatory danger signals and leaderless cytokines is detrimental in chronic inflammatory diseases. The central hypothesis of the PyroPop ERC Consolidator project is that inflammasomes are cytosolic platforms that couple pathogen sensing to multiple programmed cell death modes. This is based on our preliminary data showing that inflammasomes can be triggered to switch from inflammatory pyroptosis to programmed necrosis and non-inflammatory apoptosis. This suggests that the (patho)physiological outcomes of inflammasome activation may be modulated for therapeutic purposes. However, the molecular machinery and effector mechanisms of pyroptosis, inflammasome-induced apoptosis and programmed necrosis are virtually unknown. My objectives are (i) to explore the cleavage events and subcellular dynamics of pyroptosis by proteomics and high-resolution time-lapse microscopy; (ii) to clarify the molecular mechanisms of pyroptosis and inflammasome-controlled cell death switching; and (iii) to address how inflammasome-associated cell death modes impact on anti-bacterial host defense and chronic inflammatory pathology in vivo through the identification of pyroptosis-selective biomarkers and clinical analysis of pyroptosis-deficient mouse models. The central hypothesis in this regard is that inflammasome-mediated secretion of leaderless cytokines (such as IL-1β and IL-18) and danger signals may be mechanistically coupled to pyroptosis, but not apoptosis induction. By clarifying the mechanisms of inflammasome-controlled programmed cell death, this project may set the path for the development of an entirely novel class of inflammation-modulating therapies that are based on converting inflammatory pyroptosis into non-inflammatory apoptosis.
Summary
Programmed cell death is essential for homeostasis, and its deregulation contributes to human disease. Inflammasome-induced pyroptosis of infected macrophages contributes to host defense against infections, but the concomitant release of inflammatory danger signals and leaderless cytokines is detrimental in chronic inflammatory diseases. The central hypothesis of the PyroPop ERC Consolidator project is that inflammasomes are cytosolic platforms that couple pathogen sensing to multiple programmed cell death modes. This is based on our preliminary data showing that inflammasomes can be triggered to switch from inflammatory pyroptosis to programmed necrosis and non-inflammatory apoptosis. This suggests that the (patho)physiological outcomes of inflammasome activation may be modulated for therapeutic purposes. However, the molecular machinery and effector mechanisms of pyroptosis, inflammasome-induced apoptosis and programmed necrosis are virtually unknown. My objectives are (i) to explore the cleavage events and subcellular dynamics of pyroptosis by proteomics and high-resolution time-lapse microscopy; (ii) to clarify the molecular mechanisms of pyroptosis and inflammasome-controlled cell death switching; and (iii) to address how inflammasome-associated cell death modes impact on anti-bacterial host defense and chronic inflammatory pathology in vivo through the identification of pyroptosis-selective biomarkers and clinical analysis of pyroptosis-deficient mouse models. The central hypothesis in this regard is that inflammasome-mediated secretion of leaderless cytokines (such as IL-1β and IL-18) and danger signals may be mechanistically coupled to pyroptosis, but not apoptosis induction. By clarifying the mechanisms of inflammasome-controlled programmed cell death, this project may set the path for the development of an entirely novel class of inflammation-modulating therapies that are based on converting inflammatory pyroptosis into non-inflammatory apoptosis.
Max ERC Funding
1 997 915 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym QUTE
Project Quantum Tensor Networks and Entanglement
Researcher (PI) Frank Paul Bernard Verstraete
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), PE2, ERC-2014-CoG
Summary One of the major challenges in theoretical physics is the development of systematic methods for describing and simulating quantum many body systems with strong interactions. Given the huge experimental progress and technological potential in manipulating strongly correlated atoms and electrons, there is a pressing need for such a better theory.
The study of quantum entanglement holds the promise of being a game changer for this question. By mapping out the entanglement structure of the low-energy wavefunctions of quantum spin systems on the lattice, the prototypical example of strongly correlated systems, we have found that the associated wavefunctions can be very well modeled by a novel class of variational wavefunctions, called tensor network states. Tensor networks are changing the ways in which strongly correlated systems can be simulated, classified and understood: as opposed to the usual many body methods, these tensor networks are generic and describe non-perturbative effects in a very natural way.
The goal of this proposal is to advance the scope and use of tensor networks in several directions, both from the numerical and theoretical point of view. We plan to study the differential geometric character of the manifold of tensor network states and the associated nonlinear differential equations of motion on it, develop post tensor network methods in the form of effective theories on top of the tensor network vacuum, study tensor networks in the context of lattice gauge theories and topologically ordered systems, and investigate the novel insights that tensor networks are providing to the renormalization group and the holographic principle.
Colloquially, we believe that tensor networks and the theory of entanglement provide a basic new vocabulary for describing strongly correlated quantum systems, and the main goal of this proposal is to develop the syntax and semantics of that new language.
Summary
One of the major challenges in theoretical physics is the development of systematic methods for describing and simulating quantum many body systems with strong interactions. Given the huge experimental progress and technological potential in manipulating strongly correlated atoms and electrons, there is a pressing need for such a better theory.
The study of quantum entanglement holds the promise of being a game changer for this question. By mapping out the entanglement structure of the low-energy wavefunctions of quantum spin systems on the lattice, the prototypical example of strongly correlated systems, we have found that the associated wavefunctions can be very well modeled by a novel class of variational wavefunctions, called tensor network states. Tensor networks are changing the ways in which strongly correlated systems can be simulated, classified and understood: as opposed to the usual many body methods, these tensor networks are generic and describe non-perturbative effects in a very natural way.
The goal of this proposal is to advance the scope and use of tensor networks in several directions, both from the numerical and theoretical point of view. We plan to study the differential geometric character of the manifold of tensor network states and the associated nonlinear differential equations of motion on it, develop post tensor network methods in the form of effective theories on top of the tensor network vacuum, study tensor networks in the context of lattice gauge theories and topologically ordered systems, and investigate the novel insights that tensor networks are providing to the renormalization group and the holographic principle.
Colloquially, we believe that tensor networks and the theory of entanglement provide a basic new vocabulary for describing strongly correlated quantum systems, and the main goal of this proposal is to develop the syntax and semantics of that new language.
Max ERC Funding
1 927 500 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym REAL
Project Rights and Egalitarianism
Researcher (PI) Adina Preda
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), SH5, ERC-2018-COG
Summary REAL opens up new perspectives in moral and political philosophy by closing the rift between analytical theories of rights and egalitarian theories of distributive justice. There is a perception in both the academic and public discourse that pursuing egalitarian economic policies is incompatible with a commitment to rights. Socialist thinkers have traditionally been sceptical of rights, and contemporary egalitarian theories are often silent about them. At the same time, theories that take rights seriously either neglect the distributive dimension or suggest that egalitarian redistribution may infringe on individual rights. Egalitarianism and rights thus appear to be inhospitable to each other. This project seeks first, to understand what explains this divide and second, to demonstrate that it can be bridged.
REAL is motivated by the thought that a theory of justice, including economic justice, would be more action-guiding if it could translate its recommendations into moral and subsequently legal rights. It thus aims to show that egalitarianism is not only compatible with a commitment to rights but that they are mutually supportive. The project has three main objectives:
- to refute the idea that the concept of rights rules out egalitarian commitments
- to uncover the reasons why egalitarianism is inhospitable to rights and show that they are inconclusive
- to propose a rights-friendly egalitarian theory of justice
The project will critically examine theories of rights and egalitarian theories of justice and adopts an analytical approach that blends arguments from political and legal philosophy, normative ethics and axiology in order to provide a novel and solid framework that integrates the two and advances current debates in these areas.
Summary
REAL opens up new perspectives in moral and political philosophy by closing the rift between analytical theories of rights and egalitarian theories of distributive justice. There is a perception in both the academic and public discourse that pursuing egalitarian economic policies is incompatible with a commitment to rights. Socialist thinkers have traditionally been sceptical of rights, and contemporary egalitarian theories are often silent about them. At the same time, theories that take rights seriously either neglect the distributive dimension or suggest that egalitarian redistribution may infringe on individual rights. Egalitarianism and rights thus appear to be inhospitable to each other. This project seeks first, to understand what explains this divide and second, to demonstrate that it can be bridged.
REAL is motivated by the thought that a theory of justice, including economic justice, would be more action-guiding if it could translate its recommendations into moral and subsequently legal rights. It thus aims to show that egalitarianism is not only compatible with a commitment to rights but that they are mutually supportive. The project has three main objectives:
- to refute the idea that the concept of rights rules out egalitarian commitments
- to uncover the reasons why egalitarianism is inhospitable to rights and show that they are inconclusive
- to propose a rights-friendly egalitarian theory of justice
The project will critically examine theories of rights and egalitarian theories of justice and adopts an analytical approach that blends arguments from political and legal philosophy, normative ethics and axiology in order to provide a novel and solid framework that integrates the two and advances current debates in these areas.
Max ERC Funding
1 319 355 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym REALNANO
Project 3D Structure of Nanomaterials under Realistic Conditions
Researcher (PI) Sara BALS
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Consolidator Grant (CoG), PE5, ERC-2018-COG
Summary The properties of nanomaterials are essentially determined by their 3D structure. Electron tomography enables one to measure the morphology and composition of nanostructures in 3D, even at atomic resolution. Unfortunately, all these measurements are performed at room temperature and in ultra-high vacuum, which are conditions that are completely irrelevant for the use of nanoparticles in real applications! Moreover, nanoparticles often have ligands at their surface, which form the interface to the environment. These ligands are mostly neglected in imaging, although they strongly influence the growth, thermal stability and drive self-assembly.
I will develop innovative and quantitative 3D characterisation tools, compatible with the fast changes of nanomaterials that occur in a realistic thermal and gaseous environment. To visualise surface ligands, I will combine direct electron detection with novel exit wave reconstruction techniques.
Tracking the 3D structure of nanomaterials in a relevant environment is extremely challenging and ambitious. However, our preliminary experiments demonstrate the enormous impact. We will be able to perform a dynamic characterisation of shape changes of nanoparticles. This is important to improve thermal stability during drug delivery, sensing, data storage or hyperthermic cancer treatment. We will provide quantitative 3D measurements of the coordination numbers of the surface atoms of catalytic nanoparticles and follow the motion of individual atoms live during catalysis. By visualising surface ligands, we will understand their fundamental influence on particle shape and during self-assembly.
This program will be the start of a completely new research line in the field of 3D imaging at the atomic scale. The outcome will certainly boost the design and performance of nanomaterials. This is not only of importance at a fundamental level, but is a prerequisite for the incorporation of nanomaterials in our future technology.
Summary
The properties of nanomaterials are essentially determined by their 3D structure. Electron tomography enables one to measure the morphology and composition of nanostructures in 3D, even at atomic resolution. Unfortunately, all these measurements are performed at room temperature and in ultra-high vacuum, which are conditions that are completely irrelevant for the use of nanoparticles in real applications! Moreover, nanoparticles often have ligands at their surface, which form the interface to the environment. These ligands are mostly neglected in imaging, although they strongly influence the growth, thermal stability and drive self-assembly.
I will develop innovative and quantitative 3D characterisation tools, compatible with the fast changes of nanomaterials that occur in a realistic thermal and gaseous environment. To visualise surface ligands, I will combine direct electron detection with novel exit wave reconstruction techniques.
Tracking the 3D structure of nanomaterials in a relevant environment is extremely challenging and ambitious. However, our preliminary experiments demonstrate the enormous impact. We will be able to perform a dynamic characterisation of shape changes of nanoparticles. This is important to improve thermal stability during drug delivery, sensing, data storage or hyperthermic cancer treatment. We will provide quantitative 3D measurements of the coordination numbers of the surface atoms of catalytic nanoparticles and follow the motion of individual atoms live during catalysis. By visualising surface ligands, we will understand their fundamental influence on particle shape and during self-assembly.
This program will be the start of a completely new research line in the field of 3D imaging at the atomic scale. The outcome will certainly boost the design and performance of nanomaterials. This is not only of importance at a fundamental level, but is a prerequisite for the incorporation of nanomaterials in our future technology.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym RECIRC
Project "The Reception and Circulation of Early Modern’s Women’s Writing, 1550-1700"
Researcher (PI) Marie-Louise Coolahan
Host Institution (HI) NATIONAL UNIVERSITY OF IRELAND GALWAY
Call Details Consolidator Grant (CoG), SH5, ERC-2013-CoG
Summary "This project will produce a large-scale, quantitative analysis of the ways in which women’s writing was received and circulated in the early modern period. By exploring the phenomenon of early modern literary reception in a rigorous and comprehensive way, the project will allow us to see more clearly the importance and function of reception; specifically how the field of reception articulates and develops critical and aesthetic engagements, how it reveals the extent to which gender shapes ideas about authorship, and how it historicizes our current debates about intellectual impact and gender. Existing reception scholarship has focused on qualitative case studies and tended to prioritize print culture; the field requires a quantitative approach that takes full account of the realities of textual transmission in a period when manuscript circulation retained its broad appeal. RECIRC overcomes the logistical challenges by focusing on the category of the manuscript miscellany and on networks as centres of textual circulation, producing new knowledge about transmission and book ownership. The project will test the hypothesis that the attribution of texts to anonymous, pseudonymous and gender-designated authors is revelatory regarding how gender determined reception.
RECIRC’s specific objectives are: to challenge assumptions that women’s penetration of the literary field in this period was limited by focusing on textual reception rather than production; to transform current thinking on the nature of impact and the quality of reception by classifying and analysing the modes of textual engagement in new ways; to provoke a new understanding of the invention of the author in this period by approaching the question via reception, grounding it in a gendered understanding of the complex constructions of authorship that includes the exploitation of anonymity and pseudonymity; and to advance current discourses about scholarly impact by opening up and critiquing their historical contexts."
Summary
"This project will produce a large-scale, quantitative analysis of the ways in which women’s writing was received and circulated in the early modern period. By exploring the phenomenon of early modern literary reception in a rigorous and comprehensive way, the project will allow us to see more clearly the importance and function of reception; specifically how the field of reception articulates and develops critical and aesthetic engagements, how it reveals the extent to which gender shapes ideas about authorship, and how it historicizes our current debates about intellectual impact and gender. Existing reception scholarship has focused on qualitative case studies and tended to prioritize print culture; the field requires a quantitative approach that takes full account of the realities of textual transmission in a period when manuscript circulation retained its broad appeal. RECIRC overcomes the logistical challenges by focusing on the category of the manuscript miscellany and on networks as centres of textual circulation, producing new knowledge about transmission and book ownership. The project will test the hypothesis that the attribution of texts to anonymous, pseudonymous and gender-designated authors is revelatory regarding how gender determined reception.
RECIRC’s specific objectives are: to challenge assumptions that women’s penetration of the literary field in this period was limited by focusing on textual reception rather than production; to transform current thinking on the nature of impact and the quality of reception by classifying and analysing the modes of textual engagement in new ways; to provoke a new understanding of the invention of the author in this period by approaching the question via reception, grounding it in a gendered understanding of the complex constructions of authorship that includes the exploitation of anonymity and pseudonymity; and to advance current discourses about scholarly impact by opening up and critiquing their historical contexts."
Max ERC Funding
1 823 928 €
Duration
Start date: 2014-07-01, End date: 2019-06-30
Project acronym ReservoirDOCs
Project The evolutionary dynamics of pathogen emergence and establishment: from Reservoir Detection to Outbreak Control
Researcher (PI) Philippe LEMEY
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), LS8, ERC-2016-COG
Summary Extracted evolutionary and epidemiological information from pathogen genomes has grown into an important instrument across infectious disease research. By harnessing such information, molecular epidemiologists aim to shed light on the origin and epidemic history of pathogens, from reservoir dynamics to emergence and adaptation to new hosts, and their spatiotemporal spread. However, despite the revolution in genome sequencing technologies and advances in statistical methodology, key questions about pathogen emergence and establishment in human populations remain unresolved for major viral epidemics. When confronted with new viral outbreaks, such as the recent devastating Ebola virus epidemic, we also struggle to deploy these technologies in a systematic and concerted way despite a critical need to support public health interventions.
In this project, we propose to unravel crucial steps in the emergence and establishment of key viral pathogens. We will scrutinise the reservoir dynamics of HCV by sequencing complete hepacivirus genomes from infected samples emerging from a large-scale screening of African rodents, and analyze the cross-species transmission history using novel evolutionary methods that accommodate spatial and temporal variability in selective pressures. To test hypotheses about the early establishment of HIV-1, we will carve a genomic window into the past epidemic history of the virus by integrating molecular work on archival samples from Central Africa and on samples representative of the current HIV-1 diversity, with the development of ancestral recombination graphs that accommodate dated tips and spatial diffusion, as well as population dynamic models that incorporate epidemiological information. Finally, we will take the recent Ebola epidemic in West Africa as a model to develop high-performance statistical approaches for extracting practical and timely epidemiological information from virus genome sequences during epidemics as they unfold.
Summary
Extracted evolutionary and epidemiological information from pathogen genomes has grown into an important instrument across infectious disease research. By harnessing such information, molecular epidemiologists aim to shed light on the origin and epidemic history of pathogens, from reservoir dynamics to emergence and adaptation to new hosts, and their spatiotemporal spread. However, despite the revolution in genome sequencing technologies and advances in statistical methodology, key questions about pathogen emergence and establishment in human populations remain unresolved for major viral epidemics. When confronted with new viral outbreaks, such as the recent devastating Ebola virus epidemic, we also struggle to deploy these technologies in a systematic and concerted way despite a critical need to support public health interventions.
In this project, we propose to unravel crucial steps in the emergence and establishment of key viral pathogens. We will scrutinise the reservoir dynamics of HCV by sequencing complete hepacivirus genomes from infected samples emerging from a large-scale screening of African rodents, and analyze the cross-species transmission history using novel evolutionary methods that accommodate spatial and temporal variability in selective pressures. To test hypotheses about the early establishment of HIV-1, we will carve a genomic window into the past epidemic history of the virus by integrating molecular work on archival samples from Central Africa and on samples representative of the current HIV-1 diversity, with the development of ancestral recombination graphs that accommodate dated tips and spatial diffusion, as well as population dynamic models that incorporate epidemiological information. Finally, we will take the recent Ebola epidemic in West Africa as a model to develop high-performance statistical approaches for extracting practical and timely epidemiological information from virus genome sequences during epidemics as they unfold.
Max ERC Funding
1 810 576 €
Duration
Start date: 2017-08-01, End date: 2022-07-31
Project acronym RHEA
Project Rotifers Highlight the Evolution of Asexuals: the mechanisms of genome evolution in the absence of meiosis
Researcher (PI) Karine Marianne F Van Doninck
Host Institution (HI) UNIVERSITE DE NAMUR ASBL
Call Details Consolidator Grant (CoG), LS8, ERC-2016-COG
Summary Why sexual reproduction is overwhelmingly predominant among the metazoans remains unclear. Ancient asexual taxa are interesting model systems to gain general insights into the adaptive values of sex. The most notorious and the highest taxonomic rank within the metazoans to reproduce asexually is the bdelloid rotifers. While studies suggest that most asexuals arose recently, the published genome of the bdelloid rotifer Adineta vaga provided the first positive evidence for the long-term ameiotic evolution of this group, confirming its ancient asexuality. How bdelloid rotifers have been able to persist despite the expected negative consequences of asexuality is the focus of this ERC proposal. I will study the mechanisms that prevent genome deterioration and promote diversification in the absence of meiotic recombination. I will include sexual rotifer sister clades in the comparison and study all components of the bdelloid lifestyle that may foster their evolution. One of the key components could be their desiccation resistance and the associated DNA double-strand breaks that appear upon prolonged desiccation. To this end, I plan to (i) sequence genomes of sexual rotifers and distinct bdelloid species that diverged a long time ago, including lineages that never experience desiccation; (ii) apply contact genomics, cellular and molecular assays, as well as targeted mutagenesis to uncover their DNA repair mechanisms; (iii) use whole-genome and RAD sequencing to perform a population genomic study of genetic exchanges among bdelloids; and (iv) investigate the function of the meiosis-specific Spo11 gene in bdelloids through targeted mutagenesis and complementation experiments. Using a computational simulation I will generate theoretical predictions on the impact of the mechanisms promoting genome evolution in asexuals. This proposal should revolutionize the field of asexual evolution and provide a new biological model system to study fundamental processes such as DNA repair.
Summary
Why sexual reproduction is overwhelmingly predominant among the metazoans remains unclear. Ancient asexual taxa are interesting model systems to gain general insights into the adaptive values of sex. The most notorious and the highest taxonomic rank within the metazoans to reproduce asexually is the bdelloid rotifers. While studies suggest that most asexuals arose recently, the published genome of the bdelloid rotifer Adineta vaga provided the first positive evidence for the long-term ameiotic evolution of this group, confirming its ancient asexuality. How bdelloid rotifers have been able to persist despite the expected negative consequences of asexuality is the focus of this ERC proposal. I will study the mechanisms that prevent genome deterioration and promote diversification in the absence of meiotic recombination. I will include sexual rotifer sister clades in the comparison and study all components of the bdelloid lifestyle that may foster their evolution. One of the key components could be their desiccation resistance and the associated DNA double-strand breaks that appear upon prolonged desiccation. To this end, I plan to (i) sequence genomes of sexual rotifers and distinct bdelloid species that diverged a long time ago, including lineages that never experience desiccation; (ii) apply contact genomics, cellular and molecular assays, as well as targeted mutagenesis to uncover their DNA repair mechanisms; (iii) use whole-genome and RAD sequencing to perform a population genomic study of genetic exchanges among bdelloids; and (iv) investigate the function of the meiosis-specific Spo11 gene in bdelloids through targeted mutagenesis and complementation experiments. Using a computational simulation I will generate theoretical predictions on the impact of the mechanisms promoting genome evolution in asexuals. This proposal should revolutionize the field of asexual evolution and provide a new biological model system to study fundamental processes such as DNA repair.
Max ERC Funding
1 908 375 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym RIGIDITY
Project Rigidity and classification of von Neumann algebras
Researcher (PI) Stefaan Vaes
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE1, ERC-2013-CoG
Summary "Sorin Popa's deformation/rigidity theory has lead to an enormous progress in our understanding of von Neumann algebras coming from discrete groups and their actions on probability spaces. In a five year long collaboration with Sorin Popa, we solved many long-standing open problems in this area, including superrigidity theorems for group measure space II_1 factors, results on the possible fundamental groups of II_1 factors, and uniqueness theorems for Cartan subalgebras.
In the first part of the project, we want to establish new unique Cartan decomposition theorems for II_1 factors coming from hitherto intractable groups. Using methods coming from Lie groups, ergodic theory and geometric group theory, we want to reach such results for lattices in higher rank simple Lie groups, and for countable groups with nonvanishing L^2-Betti numbers. An important intermediate step will be the unique Cartan decomposition of Bernoulli crossed products.
Secondly we want to prove classification theorems for type III factors that are equally strong as the existing results for the type II_1 case. This includes a complete classification of the noncommutative Bernoulli shifts of the free groups and will require an intricate combination of Tomita/Takesaki and deformation/rigidity theory.
The methods developed so far bring within reach an attack on two of the most important open problems in operator algebras and functional analysis: the free group factor problem and Connes's rigidity conjecture. The exact progress on these problems is of course unforeseeable, but it is sure that the research on these problems will lead to an even deeper interaction between diverse areas of mathematics as operator algebras, group theory, functional analysis, ergodic theory, and descriptive set theory. Intermediate goals are the classification of natural classes of group von Neumann algebras, including those coming from Baumslag-Solitar groups, wreath product groups, and other families of discrete groups."
Summary
"Sorin Popa's deformation/rigidity theory has lead to an enormous progress in our understanding of von Neumann algebras coming from discrete groups and their actions on probability spaces. In a five year long collaboration with Sorin Popa, we solved many long-standing open problems in this area, including superrigidity theorems for group measure space II_1 factors, results on the possible fundamental groups of II_1 factors, and uniqueness theorems for Cartan subalgebras.
In the first part of the project, we want to establish new unique Cartan decomposition theorems for II_1 factors coming from hitherto intractable groups. Using methods coming from Lie groups, ergodic theory and geometric group theory, we want to reach such results for lattices in higher rank simple Lie groups, and for countable groups with nonvanishing L^2-Betti numbers. An important intermediate step will be the unique Cartan decomposition of Bernoulli crossed products.
Secondly we want to prove classification theorems for type III factors that are equally strong as the existing results for the type II_1 case. This includes a complete classification of the noncommutative Bernoulli shifts of the free groups and will require an intricate combination of Tomita/Takesaki and deformation/rigidity theory.
The methods developed so far bring within reach an attack on two of the most important open problems in operator algebras and functional analysis: the free group factor problem and Connes's rigidity conjecture. The exact progress on these problems is of course unforeseeable, but it is sure that the research on these problems will lead to an even deeper interaction between diverse areas of mathematics as operator algebras, group theory, functional analysis, ergodic theory, and descriptive set theory. Intermediate goals are the classification of natural classes of group von Neumann algebras, including those coming from Baumslag-Solitar groups, wreath product groups, and other families of discrete groups."
Max ERC Funding
1 446 660 €
Duration
Start date: 2014-07-01, End date: 2019-06-30
Project acronym RobustSynapses
Project Maintaining synaptic function for a healthy brain: Membrane trafficking and autophagy in neurodegeneration
Researcher (PI) Patrik Verstreken
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS5, ERC-2014-CoG
Summary Neurodegeneration is characterized by misfolded proteins and dysfunctional synapses. Synapses are often located very far away from their cell bodies and they must therefore largely independently cope with the unfolded, dysfunctional proteins that form as a result of synaptic activity and stress. My hypothesis is that synaptic terminals have adopted specific mechanisms to maintain robustness over their long lives and that these may become disrupted in neurodegenerative diseases. Recent evidence indicates an intriguing relationship between several Parkinson disease genes, synaptic vesicle trafficking and autophagy, providing an excellent entry point to study key molecular mechanisms and interactions in synaptic membrane trafficking and synaptic autophagy. We will use novel genome editing methodologies enabling fast in vivo structure-function studies in fruit flies and we will use differentiated human neurons to assess the conservation of mechanisms across evolution. In a complementary approach I also propose to capitalize on innovative in vitro liposome-based proteome-wide screening methods as well as in vivo genetic screens in fruit flies to find novel membrane-associated machines that mediate synaptic autophagy with the ultimate aim to reveal how these mechanisms regulate the maintenance of synaptic health. Our work not only has the capacity to uncover novel aspects in the regulation of presynaptic autophagy and function, but it will also reveal mechanisms of synaptic dysfunction in models of neuronal demise and open new research lines on mechanisms of synaptic plasticity.
Summary
Neurodegeneration is characterized by misfolded proteins and dysfunctional synapses. Synapses are often located very far away from their cell bodies and they must therefore largely independently cope with the unfolded, dysfunctional proteins that form as a result of synaptic activity and stress. My hypothesis is that synaptic terminals have adopted specific mechanisms to maintain robustness over their long lives and that these may become disrupted in neurodegenerative diseases. Recent evidence indicates an intriguing relationship between several Parkinson disease genes, synaptic vesicle trafficking and autophagy, providing an excellent entry point to study key molecular mechanisms and interactions in synaptic membrane trafficking and synaptic autophagy. We will use novel genome editing methodologies enabling fast in vivo structure-function studies in fruit flies and we will use differentiated human neurons to assess the conservation of mechanisms across evolution. In a complementary approach I also propose to capitalize on innovative in vitro liposome-based proteome-wide screening methods as well as in vivo genetic screens in fruit flies to find novel membrane-associated machines that mediate synaptic autophagy with the ultimate aim to reveal how these mechanisms regulate the maintenance of synaptic health. Our work not only has the capacity to uncover novel aspects in the regulation of presynaptic autophagy and function, but it will also reveal mechanisms of synaptic dysfunction in models of neuronal demise and open new research lines on mechanisms of synaptic plasticity.
Max ERC Funding
1 999 025 €
Duration
Start date: 2016-01-01, End date: 2020-12-31
Project acronym SCALPEL
Project A Single Cell AnaLysis and Sorting Platform based on Lensfree digital imaging techniques applied to Rapid Detection of Cancer
Researcher (PI) Liesbet Lagae
Host Institution (HI) INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM
Call Details Consolidator Grant (CoG), PE7, ERC-2013-CoG
Summary "Metastasis is responsible for > 90% of cancer-related deaths. Billions of dollars have been spent trying to cure primary tumors but very little was spent in trying to detect or kill the highly aggressive tumor cells that cause disease spreading. One of the reasons is that single cell studies of rare cells in blood still present a large challenge. Single cell analysis remains tedious with many different instruments and protocols, typically taking a few days of hands-on work. This slows down research, but also hinders the translation to application in future clinical practice. In SCALPEL, we envisage a high-content, high-throughput cell imaging and sorting platform, more compact and easier to use than any existing single cell analyzer. The high content results from lensfree digital imaging of single cells on a high speed CMOS active optical pixel matrix to analyze the morphology of cells. The high throughput results from a highly parallelized fluidic matrix that steers cells at high speed over the CMOS imaging blocks. Lensfree cell sorters can be realized in a cheap and compact platform, as all optomechanical components (lenses, detectors, nozzles,...) are replaced by nanoelectronics, advanced imaging and signal processing technology.
SCALPEL aims to perform a full feasibility study of this concept and will require to investigate the ultimate limits in: 1) maximizing image resolution and sensitivity to single cell morphological features obtained via lensfree holographic imaging; 2) maximizing cell manipulation speed in microfluidic systems via a high degree of parallelization; and 3) digital image signal processing with extremely low latency at reasonable power consumption. If this multidisciplinary complexity can be understood, we will have built the components for different versions of compact cytometers that can be used at hand of pathologist, surgeons, and nurses for improving the individualized follow-up and survival rate of cancer patients."
Summary
"Metastasis is responsible for > 90% of cancer-related deaths. Billions of dollars have been spent trying to cure primary tumors but very little was spent in trying to detect or kill the highly aggressive tumor cells that cause disease spreading. One of the reasons is that single cell studies of rare cells in blood still present a large challenge. Single cell analysis remains tedious with many different instruments and protocols, typically taking a few days of hands-on work. This slows down research, but also hinders the translation to application in future clinical practice. In SCALPEL, we envisage a high-content, high-throughput cell imaging and sorting platform, more compact and easier to use than any existing single cell analyzer. The high content results from lensfree digital imaging of single cells on a high speed CMOS active optical pixel matrix to analyze the morphology of cells. The high throughput results from a highly parallelized fluidic matrix that steers cells at high speed over the CMOS imaging blocks. Lensfree cell sorters can be realized in a cheap and compact platform, as all optomechanical components (lenses, detectors, nozzles,...) are replaced by nanoelectronics, advanced imaging and signal processing technology.
SCALPEL aims to perform a full feasibility study of this concept and will require to investigate the ultimate limits in: 1) maximizing image resolution and sensitivity to single cell morphological features obtained via lensfree holographic imaging; 2) maximizing cell manipulation speed in microfluidic systems via a high degree of parallelization; and 3) digital image signal processing with extremely low latency at reasonable power consumption. If this multidisciplinary complexity can be understood, we will have built the components for different versions of compact cytometers that can be used at hand of pathologist, surgeons, and nurses for improving the individualized follow-up and survival rate of cancer patients."
Max ERC Funding
1 999 840 €
Duration
Start date: 2014-11-01, End date: 2019-10-31
Project acronym SHARECITY
Project SHARECITY: Assessing the practice and sustainability potential of city-based food sharing economies
Researcher (PI) Anna Ray Davies
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), SH3, ERC-2014-CoG
Summary With planetary urbanization fast approaching there is growing clarity regarding the unsustainability of cities, not least with respect to food consumption. Sharing, including food sharing, is increasingly being identified as one transformative mechanism for sustainable cities: reducing consumption; conserving resources, preventing waste and providing new forms of socio-economic relations. However, such claims currently rest on thin conceptual and empirical foundations. SHARECITY will identify and examine diverse practices of city-based food sharing economies, first determining their form, function and governance and then identifying their impact and potential to reorient eating practices. The research has four objectives: to advance theoretical understanding of contemporary food sharing economies in cities; to generate a significant body of comparative and novel international empirical knowledge about food sharing economies and their governance within global cities; to design and test an assessment framework for establishing the impact of city-based food sharing economies on societal relations, economic vitality and the environment; and to develop and implement a novel variant of backcasting to explore how food sharing economies within cities might evolve in the future. Providing conceptual insights that bridge sharing, social practice and urban transitions theories, SHARECITY will generate a typology of food sharing economies; a database of food sharing activities in 100 global cities; in-depth food sharing profiles of 7 cities from the contrasting contexts of USA, Brazil and Germany, Greece, Portugal, Ireland and Australia; a sustainability impact toolkit to enable examination of city-based food sharing initiatives; and scenarios for future food sharing in cities. Conducting such frontier science SHARECITY will open new research horizons to substantively improve understanding of how, why and to what end people share food within cities in the 21st Century.
Summary
With planetary urbanization fast approaching there is growing clarity regarding the unsustainability of cities, not least with respect to food consumption. Sharing, including food sharing, is increasingly being identified as one transformative mechanism for sustainable cities: reducing consumption; conserving resources, preventing waste and providing new forms of socio-economic relations. However, such claims currently rest on thin conceptual and empirical foundations. SHARECITY will identify and examine diverse practices of city-based food sharing economies, first determining their form, function and governance and then identifying their impact and potential to reorient eating practices. The research has four objectives: to advance theoretical understanding of contemporary food sharing economies in cities; to generate a significant body of comparative and novel international empirical knowledge about food sharing economies and their governance within global cities; to design and test an assessment framework for establishing the impact of city-based food sharing economies on societal relations, economic vitality and the environment; and to develop and implement a novel variant of backcasting to explore how food sharing economies within cities might evolve in the future. Providing conceptual insights that bridge sharing, social practice and urban transitions theories, SHARECITY will generate a typology of food sharing economies; a database of food sharing activities in 100 global cities; in-depth food sharing profiles of 7 cities from the contrasting contexts of USA, Brazil and Germany, Greece, Portugal, Ireland and Australia; a sustainability impact toolkit to enable examination of city-based food sharing initiatives; and scenarios for future food sharing in cities. Conducting such frontier science SHARECITY will open new research horizons to substantively improve understanding of how, why and to what end people share food within cities in the 21st Century.
Max ERC Funding
1 860 009 €
Duration
Start date: 2015-10-01, End date: 2021-07-31
Project acronym SHARP
Project Structural Household Analysis using Revealed Preferences
Researcher (PI) Laurens Julien Henri Cherchye
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), SH1, ERC-2013-CoG
Summary "Household consumption (including labor supply) is usually the outcome of a complex interaction between multiple household members. Understanding this consumption behavior requires non-unitary modeling of households, which recognizes that households are not single decision units but consist of interacting individuals. This project builds a powerful toolkit for empirical analysis of household consumption through structural models of individual preferences and within-household interactions. It opens the “intrahousehold black box” while only using the (limited) consumption information observed at the aggregate household level.
In particular, I develop a revealed preference methodology that is intrinsically nonparametric. This method (only) uses preference information that is directly revealed by the observed consumption choices. It avoids confounding the analysis by imposing (nonverifiable) parametric/functional structure on within-household decision processes. My main contribution is twofold:
1. At the theoretical level, I integrate marriage market dynamics into the structural modeling of household consumption. The marriage market defines the “outside options” of (adult) household members, which indirectly impacts the intrahousehold consumption allocation (e.g. through individual bargaining positions). Modeling these marriage market effects implies a better description of the intrahousehold decision process, which in turn yields a more powerful analysis of household consumption.
2. At the empirical level, I integrate revealed preference restrictions on non-unitary household consumption with nonparametric estimation of demand systems (subject to non-unitary shape restrictions on household demand). This will enhance the applicability of revealed preference methods to widely available (pooled) cross-section data sets. It also allows for addressing empirical issues such as unobserved heterogeneity across households and limited power of revealed preference restrictions."
Summary
"Household consumption (including labor supply) is usually the outcome of a complex interaction between multiple household members. Understanding this consumption behavior requires non-unitary modeling of households, which recognizes that households are not single decision units but consist of interacting individuals. This project builds a powerful toolkit for empirical analysis of household consumption through structural models of individual preferences and within-household interactions. It opens the “intrahousehold black box” while only using the (limited) consumption information observed at the aggregate household level.
In particular, I develop a revealed preference methodology that is intrinsically nonparametric. This method (only) uses preference information that is directly revealed by the observed consumption choices. It avoids confounding the analysis by imposing (nonverifiable) parametric/functional structure on within-household decision processes. My main contribution is twofold:
1. At the theoretical level, I integrate marriage market dynamics into the structural modeling of household consumption. The marriage market defines the “outside options” of (adult) household members, which indirectly impacts the intrahousehold consumption allocation (e.g. through individual bargaining positions). Modeling these marriage market effects implies a better description of the intrahousehold decision process, which in turn yields a more powerful analysis of household consumption.
2. At the empirical level, I integrate revealed preference restrictions on non-unitary household consumption with nonparametric estimation of demand systems (subject to non-unitary shape restrictions on household demand). This will enhance the applicability of revealed preference methods to widely available (pooled) cross-section data sets. It also allows for addressing empirical issues such as unobserved heterogeneity across households and limited power of revealed preference restrictions."
Max ERC Funding
851 581 €
Duration
Start date: 2014-08-01, End date: 2019-07-31
Project acronym SONORA
Project The Spatial Dynamics of Room Acoustics
Researcher (PI) Toon Jos M. VAN WATERSCHOOT
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE7, ERC-2017-COG
Summary The SONORA project aims to increase the general understanding of how complex sound scenes are impacted by the spatial dynamics of room acoustics. This knowledge is crucial in the design of signal processing algorithms for audio acquisition and reproduction problems in real-life situations, where moving sound sources and observers interact with room acoustics in a complicated manner.
A major part of the project will be devoted to the development of novel room acoustics models and to the unification of existing models. The room acoustics models developed in this project will be data-driven models with a physically motivated structure, and are expected to fill the existing gap between geometric and wave-based models. This will be achieved by formulating existing and novel models in a dictionary-based mathematical framework and introducing a new concept coined as the equivalent boundary model, aimed at relaxing the prior knowledge required on the physical room boundary.
A second part of the project will focus on the development of a protocol for measuring spatiotemporal sound fields. This protocol will be rooted in a novel sound field sampling theory which exploits the spatial sparsity of sound sources by invoking the compressed sensing paradigm.
Thirdly, novel signal processing algorithms capable of handling spatiotemporal sound fields will be designed. By employing recent advances in large-scale optimization and multidimensional scaling, fast and matrix-free algorithms will be obtained that do not require prior knowledge of the sound scene geometry.
The SONORA research results are anticipated to have a notable impact in various audio acquisition and reproduction problems, including acoustic signal enhancement, audio analysis, room inference, virtual acoustics, and spatial audio reproduction. These problems have many applications in speech, audio, and hearing technology, hence a significant benefit for industry and for technology end users is expected in the long run.
Summary
The SONORA project aims to increase the general understanding of how complex sound scenes are impacted by the spatial dynamics of room acoustics. This knowledge is crucial in the design of signal processing algorithms for audio acquisition and reproduction problems in real-life situations, where moving sound sources and observers interact with room acoustics in a complicated manner.
A major part of the project will be devoted to the development of novel room acoustics models and to the unification of existing models. The room acoustics models developed in this project will be data-driven models with a physically motivated structure, and are expected to fill the existing gap between geometric and wave-based models. This will be achieved by formulating existing and novel models in a dictionary-based mathematical framework and introducing a new concept coined as the equivalent boundary model, aimed at relaxing the prior knowledge required on the physical room boundary.
A second part of the project will focus on the development of a protocol for measuring spatiotemporal sound fields. This protocol will be rooted in a novel sound field sampling theory which exploits the spatial sparsity of sound sources by invoking the compressed sensing paradigm.
Thirdly, novel signal processing algorithms capable of handling spatiotemporal sound fields will be designed. By employing recent advances in large-scale optimization and multidimensional scaling, fast and matrix-free algorithms will be obtained that do not require prior knowledge of the sound scene geometry.
The SONORA research results are anticipated to have a notable impact in various audio acquisition and reproduction problems, including acoustic signal enhancement, audio analysis, room inference, virtual acoustics, and spatial audio reproduction. These problems have many applications in speech, audio, and hearing technology, hence a significant benefit for industry and for technology end users is expected in the long run.
Max ERC Funding
1 999 825 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym SpecMAT
Project Spectroscopy of exotic nuclei in a Magnetic Active Target
Researcher (PI) Riccardo Raabe
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE2, ERC-2013-CoG
Summary SpecMAT aims at providing crucial experimental information to answer key questions about the structure of atomic nuclei:
- What are the forces driving the shell structure in nuclei and how do they change in nuclei far from stability?
- What remains of the Z = 28 and N = 50 “magic numbers” in 78Ni?
- Do we understand shape coexistence in nuclei, and what are the mechanisms controlling its appearance?
The position of natural and “intruder” shells will be mapped in two critical regions, the neutron-rich nuclei around Z = 28 and the neutron-deficient nuclei around Z = 82. The centroids of the shell strength are derived from the complete spectroscopy of those systems in nucleon-transfer measurements. This method will be applied for the first time in the region of neutron-deficient Pb nuclei.
In SpecMAT (Spectroscopy of exotic nuclei in a Magnetic Active Target) a novel instrument will overcome the present challenges in performing such measurements with very weak beams of unstable nuclei. It combines high luminosity, high efficiency and a very large dynamic range and allows detection of both charged-particle and gamma-ray radiation. The instrument owns its remarkable performances to a number of advanced technologies concerning the use of electronics, gaseous detectors and gamma-ray detectors in a magnetic field.
The SpecMAT detector will be coupled to the HIE-ISOLDE facility for the production and post-acceleration of radioactive ion beams in construction at CERN in Geneva. HIE-ISOLDE will provide world-unique beams thanks to the use of the proton injector of the CERN complex.
If successful, SpecMAT at HIE-ISOLDE will produce specific results in nuclear structure which cannot be reached by other programmes elsewhere. Such results will have a significant impact on the present theories and models of the atomic nucleus.
Summary
SpecMAT aims at providing crucial experimental information to answer key questions about the structure of atomic nuclei:
- What are the forces driving the shell structure in nuclei and how do they change in nuclei far from stability?
- What remains of the Z = 28 and N = 50 “magic numbers” in 78Ni?
- Do we understand shape coexistence in nuclei, and what are the mechanisms controlling its appearance?
The position of natural and “intruder” shells will be mapped in two critical regions, the neutron-rich nuclei around Z = 28 and the neutron-deficient nuclei around Z = 82. The centroids of the shell strength are derived from the complete spectroscopy of those systems in nucleon-transfer measurements. This method will be applied for the first time in the region of neutron-deficient Pb nuclei.
In SpecMAT (Spectroscopy of exotic nuclei in a Magnetic Active Target) a novel instrument will overcome the present challenges in performing such measurements with very weak beams of unstable nuclei. It combines high luminosity, high efficiency and a very large dynamic range and allows detection of both charged-particle and gamma-ray radiation. The instrument owns its remarkable performances to a number of advanced technologies concerning the use of electronics, gaseous detectors and gamma-ray detectors in a magnetic field.
The SpecMAT detector will be coupled to the HIE-ISOLDE facility for the production and post-acceleration of radioactive ion beams in construction at CERN in Geneva. HIE-ISOLDE will provide world-unique beams thanks to the use of the proton injector of the CERN complex.
If successful, SpecMAT at HIE-ISOLDE will produce specific results in nuclear structure which cannot be reached by other programmes elsewhere. Such results will have a significant impact on the present theories and models of the atomic nucleus.
Max ERC Funding
1 944 900 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym STYDS
Project Seeing things you don't see: Unifying the philosophy, psychology and neuroscience of multimodal mental imagery
Researcher (PI) Bence Gyorgy NANAY
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Consolidator Grant (CoG), SH4, ERC-2016-COG
Summary When I am looking at my coffee machine that makes funny noises, this is an instance of multisensory perception – I perceive this event by means of both vision and audition. But very often we only receive sensory stimulation from a multisensory event by means of one sense modality. If I hear the noisy coffee machine in the next room (without seeing it), then how do I represent the visual aspects of this multisensory event?
The aim of this research project is to bring together empirical findings about multimodal perception and empirical findings about (visual, auditory, tactile) mental imagery and argue that on occasions like the one described in the last paragraph, we have multimodal mental imagery: perceptual processing in one sense modality (here: vision) that is triggered by sensory stimulation in another sense modality (here: audition).
Multimodal mental imagery is rife. The vast majority of what we perceive are multisensory events: events that can be perceived in more than one sense modality – like the noisy coffee machine. And most of the time we are only acquainted with these multisensory events via a subset of the sense modalities involved – all the other aspects of these events are represented by means of multisensory mental imagery. This means that multisensory mental imagery is a crucial element of almost all instances of everyday perception, which has wider implications to philosophy of perception and beyond, to epistemological questions about whether we can trust our senses.
Focusing on multimodal mental imagery can help us to understand a number of puzzling perceptual phenomena, like sensory substitution and synaesthesia. Further, manipulating mental imagery has recently become an important clinical procedure in various branches of psychiatry as well as in counteracting implicit bias – using multimodal mental imagery rather than voluntarily and consciously conjured up mental imagery can lead to real progress in these experimental paradigms.
Summary
When I am looking at my coffee machine that makes funny noises, this is an instance of multisensory perception – I perceive this event by means of both vision and audition. But very often we only receive sensory stimulation from a multisensory event by means of one sense modality. If I hear the noisy coffee machine in the next room (without seeing it), then how do I represent the visual aspects of this multisensory event?
The aim of this research project is to bring together empirical findings about multimodal perception and empirical findings about (visual, auditory, tactile) mental imagery and argue that on occasions like the one described in the last paragraph, we have multimodal mental imagery: perceptual processing in one sense modality (here: vision) that is triggered by sensory stimulation in another sense modality (here: audition).
Multimodal mental imagery is rife. The vast majority of what we perceive are multisensory events: events that can be perceived in more than one sense modality – like the noisy coffee machine. And most of the time we are only acquainted with these multisensory events via a subset of the sense modalities involved – all the other aspects of these events are represented by means of multisensory mental imagery. This means that multisensory mental imagery is a crucial element of almost all instances of everyday perception, which has wider implications to philosophy of perception and beyond, to epistemological questions about whether we can trust our senses.
Focusing on multimodal mental imagery can help us to understand a number of puzzling perceptual phenomena, like sensory substitution and synaesthesia. Further, manipulating mental imagery has recently become an important clinical procedure in various branches of psychiatry as well as in counteracting implicit bias – using multimodal mental imagery rather than voluntarily and consciously conjured up mental imagery can lead to real progress in these experimental paradigms.
Max ERC Funding
1 966 530 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym Supramol
Project Towards Artificial Enzymes: Bio-inspired Oxidations in Photoactive Metal-Organic Frameworks
Researcher (PI) Wolfgang Schmitt
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Call Details Consolidator Grant (CoG), PE5, ERC-2014-CoG
Summary Metal-organic frameworks (MOFs) are key compounds related to energy storage and conversion, as their unprecedented surface areas make them promising materials for gas storage and catalysis purposes. We believe that their modular construction principles allow the replication of key features of natural enzymes thus demonstrating how cavity size, shape, charge and functional group availability influence the performances in catalytic reactions. This proposal addresses the question of how such novel, bio-inspired metallo-supramolecular systems can be prepared and exploited for sustainable energy applications. A scientific breakthrough that demonstrates the efficient conversion of light into chemical energy would be one of the greatest scientific achievements with unprecedented impact to future generations. We focus on the following key aspects:
a) MOFs containing novel, catalytically active complexes with labile coordination sites will be synthesised using rigid organic ligands that allow us to control the topologies, cavity sizes and surface areas. We will incorporate photosensitizers to develop robust porous MOFs in which light-absorption initiates electron-transfer events that lead to the activation of a catalytic centre. In addition, photoactive molecules will serve as addressable ligands whereby reversible, photo-induced structural transformations impose changes to porosity and chemical attributes at the active sites.
b) Catalytic studies will focus on important oxidations of alkenes and alcohols. These reactions are relevant to H2-based energy concepts as the anodic liberation of protons and electrons can be coupled to their cathodic recombination to produce H2. The studies will provide proof-of-concept for the development of photocatalytic systems for the highly endergonic H2O oxidation reaction that will be explored using most stable MOFs. Further, gas storage and magnetic properties that may also be influenced by light-irradiation will be analysed.
Summary
Metal-organic frameworks (MOFs) are key compounds related to energy storage and conversion, as their unprecedented surface areas make them promising materials for gas storage and catalysis purposes. We believe that their modular construction principles allow the replication of key features of natural enzymes thus demonstrating how cavity size, shape, charge and functional group availability influence the performances in catalytic reactions. This proposal addresses the question of how such novel, bio-inspired metallo-supramolecular systems can be prepared and exploited for sustainable energy applications. A scientific breakthrough that demonstrates the efficient conversion of light into chemical energy would be one of the greatest scientific achievements with unprecedented impact to future generations. We focus on the following key aspects:
a) MOFs containing novel, catalytically active complexes with labile coordination sites will be synthesised using rigid organic ligands that allow us to control the topologies, cavity sizes and surface areas. We will incorporate photosensitizers to develop robust porous MOFs in which light-absorption initiates electron-transfer events that lead to the activation of a catalytic centre. In addition, photoactive molecules will serve as addressable ligands whereby reversible, photo-induced structural transformations impose changes to porosity and chemical attributes at the active sites.
b) Catalytic studies will focus on important oxidations of alkenes and alcohols. These reactions are relevant to H2-based energy concepts as the anodic liberation of protons and electrons can be coupled to their cathodic recombination to produce H2. The studies will provide proof-of-concept for the development of photocatalytic systems for the highly endergonic H2O oxidation reaction that will be explored using most stable MOFs. Further, gas storage and magnetic properties that may also be influenced by light-irradiation will be analysed.
Max ERC Funding
1 979 366 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym SWORD
Project Security Without Obscurity for Reliable Devices
Researcher (PI) FRANCOIS-XAVIER LESLIE A STANDAERT
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Consolidator Grant (CoG), PE6, ERC-2016-COG
Summary Cryptographic implementations are traditionally evaluated based on a trade-off between security and efficiency. However, when it comes to physical security against attacks exploiting side-channel leakages or fault insertions, this approach is limited by the difficulty to define the adversaries (e.g. their knowledge about the target implementation) and to specify sound physical assumptions. Quite naturally, the problem becomes even more challenging in contexts where implementations can be maliciously modified during design or fabrication via so-called hardware Trojans. To a large extent, these vulnerabilities echo the general challenge of restoring trust that is faced by cryptographic research in view of the recent Snowden revelations. In this context, we believe that the design of small components able to perform secure computations locally will be an important building block of future information systems. For this purpose, the SWORD project envisions a paradigm shift in embedded security, by adding trust as an essential element in the evaluation of physically secure objects. Our two main ingredients to reach this ambitious goal are a good separation between mathematics and physics, and improved transparency in security evaluations. That is, we want cryptographic implementations to rely on physical assumptions that can be empirically verified, in order to obtain sound security guarantees based on mathematical proofs or arguments. And we want to make the empirical verification of physical assumptions more transparent, by considering open source hardware and software. By allowing adversaries and evaluators to know implementation details, we expect to enable a better understanding of the fundamentals of physical security, therefore leading to improved security, efficiency and trust in the longer term. That is, we hope to establish security guarantees based on a good understanding of the physics, rather than the (relative) misunderstanding caused by closed systems.
Summary
Cryptographic implementations are traditionally evaluated based on a trade-off between security and efficiency. However, when it comes to physical security against attacks exploiting side-channel leakages or fault insertions, this approach is limited by the difficulty to define the adversaries (e.g. their knowledge about the target implementation) and to specify sound physical assumptions. Quite naturally, the problem becomes even more challenging in contexts where implementations can be maliciously modified during design or fabrication via so-called hardware Trojans. To a large extent, these vulnerabilities echo the general challenge of restoring trust that is faced by cryptographic research in view of the recent Snowden revelations. In this context, we believe that the design of small components able to perform secure computations locally will be an important building block of future information systems. For this purpose, the SWORD project envisions a paradigm shift in embedded security, by adding trust as an essential element in the evaluation of physically secure objects. Our two main ingredients to reach this ambitious goal are a good separation between mathematics and physics, and improved transparency in security evaluations. That is, we want cryptographic implementations to rely on physical assumptions that can be empirically verified, in order to obtain sound security guarantees based on mathematical proofs or arguments. And we want to make the empirical verification of physical assumptions more transparent, by considering open source hardware and software. By allowing adversaries and evaluators to know implementation details, we expect to enable a better understanding of the fundamentals of physical security, therefore leading to improved security, efficiency and trust in the longer term. That is, we hope to establish security guarantees based on a good understanding of the physics, rather than the (relative) misunderstanding caused by closed systems.
Max ERC Funding
1 997 661 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym SymplecticEinstein
Project The symplectic geometry of anti-self-dual Einstein metrics
Researcher (PI) Joel Fine
Host Institution (HI) UNIVERSITE LIBRE DE BRUXELLES
Call Details Consolidator Grant (CoG), PE1, ERC-2014-CoG
Summary This project is founded on a new formulation of Einstein's equations in dimension 4, which I developed together with my co-authors. This new approach reveals a surprising link between four-dimensional Einstein manifolds and six-dimensional symplectic geometry. My project will exploit this interplay in both directions: using Riemannian geometry to prove results about symplectic manifolds and using symplectic geometry to prove results about Reimannian manifolds.
Our new idea is to rewrite Einstein's equations using the language of gauge theory. The fundamental objects are no longer Riemannian metrics, but instead certain connections over a 4-manifold M. A connection A defines a metric g_A via its curvature, analogous to the relationship between the electromagnetic potential and field in Maxwell's theory. The total volume of (M,g_A) is an action S(A) for the theory, whose critical points give Einstein metrics. At the same time, the connection A also determines a symplectic structure \omega_A on an associated 6-manifold Z which fibres over M.
My project has two main goals. The first is to classify the symplectic manifolds which arise this way. Classification of general symplectic 6-manifolds is beyond current techniques of symplectic geometry, making my aims here very ambitious. My second goal is to provide an existence theory both for anti-self-dual Poincaré--Einstein metrics and for minimal surfaces in such manifolds. Again, my aims here go decisively beyond the state of the art. In all of these situations, a fundamental problem is the formation of singularities in degenerating families. What makes new progress possible is the fresh input coming from the symplectic manifold Z. I will combine this with techniques from Riemannian geometry and gauge theory to control the singularities which can occur.
Summary
This project is founded on a new formulation of Einstein's equations in dimension 4, which I developed together with my co-authors. This new approach reveals a surprising link between four-dimensional Einstein manifolds and six-dimensional symplectic geometry. My project will exploit this interplay in both directions: using Riemannian geometry to prove results about symplectic manifolds and using symplectic geometry to prove results about Reimannian manifolds.
Our new idea is to rewrite Einstein's equations using the language of gauge theory. The fundamental objects are no longer Riemannian metrics, but instead certain connections over a 4-manifold M. A connection A defines a metric g_A via its curvature, analogous to the relationship between the electromagnetic potential and field in Maxwell's theory. The total volume of (M,g_A) is an action S(A) for the theory, whose critical points give Einstein metrics. At the same time, the connection A also determines a symplectic structure \omega_A on an associated 6-manifold Z which fibres over M.
My project has two main goals. The first is to classify the symplectic manifolds which arise this way. Classification of general symplectic 6-manifolds is beyond current techniques of symplectic geometry, making my aims here very ambitious. My second goal is to provide an existence theory both for anti-self-dual Poincaré--Einstein metrics and for minimal surfaces in such manifolds. Again, my aims here go decisively beyond the state of the art. In all of these situations, a fundamental problem is the formation of singularities in degenerating families. What makes new progress possible is the fresh input coming from the symplectic manifold Z. I will combine this with techniques from Riemannian geometry and gauge theory to control the singularities which can occur.
Max ERC Funding
1 162 880 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym T-Rex
Project Clathrin-mediated endocytosis in plants: mechanistic insight into the TPLATE REcycling compleX and its interplay with AP-2
Researcher (PI) Daniel Joseph G Van Damme
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS3, ERC-2015-CoG
Summary Cells communicate with the outside world through proteins anchored in their plasma membrane and hereto constantly adjust their plasma membrane (PM) proteome. In this adjustment process, removing proteins from the PM mainly occurs through clathrin-mediated endocytosis (CME). Mechanistically however, this process remains poorly understood in plants.
A recent study from my group has shown that, in contrast to other model systems, plant CME involves two early endocytic adaptor protein complexes: the evolutionary conserved Adaptor Protein 2 complex (AP-2) and the newly identified TPLATE complex (TPC). In the same study, we also show that both complexes have overlapping but also independent functions in driving CME in plants, implying that plants use additional ways to recognize membrane proteins (cargo) for internalization.
In this project I will use an integrative approach to unravel the early steps of CME in plants. Specifically, I will address the following biological questions:
- Is the evolutionary retention of the TPC in plants causal to specific cargo recognition? (WP1)
- What are the spatio-temporal dynamics of TPC and CME effectors at the plasma membrane? (WP2)
- How does acute removal of TPC subunits affect complex recruitment and CME? (WP3)
- How is the TPC organized at the structural level? (WP4)
- Which interactions occur and can we couple subunit/domain structures to functionality? (WP5)
To answer these questions, I will combine state-of-the art proteomics with highly dynamic multi-color live cell imaging and structural biology.
The overall objective is to gain a deep mechanistic insight into the developmentally essential process of CME in plants. This will enable me to specifically specifically modulate the abundance of plasma membrane proteins involved in nutrient uptake, toxin avoidance, cell wall formation and hormone and defence responses. Understanding TPC-dependent CME will also provide insight into evolutionary aspects of endocytosis.
Summary
Cells communicate with the outside world through proteins anchored in their plasma membrane and hereto constantly adjust their plasma membrane (PM) proteome. In this adjustment process, removing proteins from the PM mainly occurs through clathrin-mediated endocytosis (CME). Mechanistically however, this process remains poorly understood in plants.
A recent study from my group has shown that, in contrast to other model systems, plant CME involves two early endocytic adaptor protein complexes: the evolutionary conserved Adaptor Protein 2 complex (AP-2) and the newly identified TPLATE complex (TPC). In the same study, we also show that both complexes have overlapping but also independent functions in driving CME in plants, implying that plants use additional ways to recognize membrane proteins (cargo) for internalization.
In this project I will use an integrative approach to unravel the early steps of CME in plants. Specifically, I will address the following biological questions:
- Is the evolutionary retention of the TPC in plants causal to specific cargo recognition? (WP1)
- What are the spatio-temporal dynamics of TPC and CME effectors at the plasma membrane? (WP2)
- How does acute removal of TPC subunits affect complex recruitment and CME? (WP3)
- How is the TPC organized at the structural level? (WP4)
- Which interactions occur and can we couple subunit/domain structures to functionality? (WP5)
To answer these questions, I will combine state-of-the art proteomics with highly dynamic multi-color live cell imaging and structural biology.
The overall objective is to gain a deep mechanistic insight into the developmentally essential process of CME in plants. This will enable me to specifically specifically modulate the abundance of plasma membrane proteins involved in nutrient uptake, toxin avoidance, cell wall formation and hormone and defence responses. Understanding TPC-dependent CME will also provide insight into evolutionary aspects of endocytosis.
Max ERC Funding
1 998 813 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym TARG-SUP
Project Targeting TGF-β activation, likely the core mechanism of immunosuppression by human regulatory T cells.
Researcher (PI) Sophie Elizabeth J. Lucas
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Consolidator Grant (CoG), LS6, ERC-2015-CoG
Summary Regulatory T lymphocytes (Tregs) inhibit immune responses and are required to maintain immune tolerance. Tregs express membrane protein GARP, which displays latent TGF-β1 on the cell surface. Immunosuppression by human Tregs appears to require GARP-mediated activation of TGF-β1.
My objectives are to unravel the molecular aspects of TGF-β1 activation by GARP and determine the functional importance of this process in physiological and pathological conditions where Tregs or other GARP-expressing cells are present. As this implies the development of new tools to modulate GARP-dependent TGF-β1 activation and Treg immunosuppression, we will also explore their potential for the treatment of immune-related human diseases, and notably cancer.
More specifically, I will:
- Derive antibodies that modulate GARP-mediated TGF-β1 production by human Tregs and perform structural analyses in the presence of these antibodies to identify tri-dimensional changes in GARP/TGF-β1 complexes that lead to the release of active TGF-β1.
- Identify and characterize additional proteins implicated in TGF-β1 activation by human Tregs, as GARP is required but not sufficient for TGF-β1 activation by Tregs.
- Determine the immunological and clinical impact of inhibitory anti-GARP mAbs on cancer in mice. We will derive anti-murine GARP mAbs. As an alternative, we will generate mutant mice expressing a chimeric mouse/human GARP that is recognized by anti-human GARP mAbs. The antibodies will be tested in tumour-bearing mice treated or not with other immunotherapies including vaccines or immunostimulatory antibodies.
- Determine whether blocking anti-GARP mAbs improve immune responses to microbial vaccines or to chronic infections, as these represent important applications for transient inhibition of Treg activity in humans.
- Analyse the expression and roles of GARP in non-Treg cells to better understand GARP functions, which remain largely unknown, and predict potential toxicities of anti-GARP mAbs.
Summary
Regulatory T lymphocytes (Tregs) inhibit immune responses and are required to maintain immune tolerance. Tregs express membrane protein GARP, which displays latent TGF-β1 on the cell surface. Immunosuppression by human Tregs appears to require GARP-mediated activation of TGF-β1.
My objectives are to unravel the molecular aspects of TGF-β1 activation by GARP and determine the functional importance of this process in physiological and pathological conditions where Tregs or other GARP-expressing cells are present. As this implies the development of new tools to modulate GARP-dependent TGF-β1 activation and Treg immunosuppression, we will also explore their potential for the treatment of immune-related human diseases, and notably cancer.
More specifically, I will:
- Derive antibodies that modulate GARP-mediated TGF-β1 production by human Tregs and perform structural analyses in the presence of these antibodies to identify tri-dimensional changes in GARP/TGF-β1 complexes that lead to the release of active TGF-β1.
- Identify and characterize additional proteins implicated in TGF-β1 activation by human Tregs, as GARP is required but not sufficient for TGF-β1 activation by Tregs.
- Determine the immunological and clinical impact of inhibitory anti-GARP mAbs on cancer in mice. We will derive anti-murine GARP mAbs. As an alternative, we will generate mutant mice expressing a chimeric mouse/human GARP that is recognized by anti-human GARP mAbs. The antibodies will be tested in tumour-bearing mice treated or not with other immunotherapies including vaccines or immunostimulatory antibodies.
- Determine whether blocking anti-GARP mAbs improve immune responses to microbial vaccines or to chronic infections, as these represent important applications for transient inhibition of Treg activity in humans.
- Analyse the expression and roles of GARP in non-Treg cells to better understand GARP functions, which remain largely unknown, and predict potential toxicities of anti-GARP mAbs.
Max ERC Funding
1 993 125 €
Duration
Start date: 2016-04-01, End date: 2021-03-31
Project acronym TEXTEVOLVE
Project A New Approach to the Evolution of Texts Based on the Manuscripts of the Targums
Researcher (PI) HECTOR PATMORE
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), SH5, ERC-2018-COG
Summary TEXTEVOLVE will study the Targums. Targums are Jewish Aramaic paraphrases of the Hebrew Bible. They are important because they provide a unique insight into what Jews believed God was saying to them through their sacred texts at transformative moments in Jewish history, particularly the aftermath of the First Jewish-Roman War (66–74 CE). The state of the art in the study of the Targums is defined by 1) methodology, and 2) the primary sources that are available. TEXTEVOLVE will go beyond the state of the art in both areas.
Methodology — We do not possess the author’s original copy of any Targum. Rather, in most cases we have multiple copies preserved in much later manuscripts, all of which differ one from another. Existing methodology aims to reconstruct the earliest possible form of the text. But changes made by later copyists also yield important insights into evolving Jewish culture, theology, and praxis. Therefore TEXTEVOLVE reframes the dominant research question in the field so that neither the importance of the original wording nor the significance of subsequent changes is neglected. It asks: How did the text of the Targums evolve over time and why? TEXTEVOLVE will develop a new methodology, called Evolutionary Philology, that is capable of addressing this core question. It will use techniques from evolutionary biology that have not previously been applied to texts to achieve this. This will have implications across disciplines that work with historical texts.
Primary Sources — To ensure the most robust possible dataset, TEXTEVOLVE will expand the pool of primary sources available for analysis. TEXTEVOLVE will find Targum manuscripts that have been ‘lost’ in un-catalogued or poorly catalogued collections, and will analyse for the first time recently discovered manuscripts from the ‘European Genizah’. Since the available primary sources define the boundaries of any discipline, this is the second major way in which TEXTEVOLVE goes beyond the state of the art.
Summary
TEXTEVOLVE will study the Targums. Targums are Jewish Aramaic paraphrases of the Hebrew Bible. They are important because they provide a unique insight into what Jews believed God was saying to them through their sacred texts at transformative moments in Jewish history, particularly the aftermath of the First Jewish-Roman War (66–74 CE). The state of the art in the study of the Targums is defined by 1) methodology, and 2) the primary sources that are available. TEXTEVOLVE will go beyond the state of the art in both areas.
Methodology — We do not possess the author’s original copy of any Targum. Rather, in most cases we have multiple copies preserved in much later manuscripts, all of which differ one from another. Existing methodology aims to reconstruct the earliest possible form of the text. But changes made by later copyists also yield important insights into evolving Jewish culture, theology, and praxis. Therefore TEXTEVOLVE reframes the dominant research question in the field so that neither the importance of the original wording nor the significance of subsequent changes is neglected. It asks: How did the text of the Targums evolve over time and why? TEXTEVOLVE will develop a new methodology, called Evolutionary Philology, that is capable of addressing this core question. It will use techniques from evolutionary biology that have not previously been applied to texts to achieve this. This will have implications across disciplines that work with historical texts.
Primary Sources — To ensure the most robust possible dataset, TEXTEVOLVE will expand the pool of primary sources available for analysis. TEXTEVOLVE will find Targum manuscripts that have been ‘lost’ in un-catalogued or poorly catalogued collections, and will analyse for the first time recently discovered manuscripts from the ‘European Genizah’. Since the available primary sources define the boundaries of any discipline, this is the second major way in which TEXTEVOLVE goes beyond the state of the art.
Max ERC Funding
1 966 259 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym THE FALL
Project The Fall of 1200BC: The role of migration and conflict in social crises at end of the Bronze Age in South-eastern Europe
Researcher (PI) Barry MOLLOY
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Consolidator Grant (CoG), SH6, ERC-2017-COG
Summary This project explores changes in migration and conflict at the end of the Bronze Age (ca.1300-1000 BC) and their relevance for understanding the collapse of Europe’s first urban civilisation in the Aegean and proto-urban groups of the Balkans. The objective is to uncover the human face of this turning point in European prehistory by directly tracing the movement of people and the spread of new social practices across cultural boundaries. Hotly debated ancient tales of migrations are tested for the first time using recent advances in genetic and isotopic methods that can measure human mobility. Combined with mortuary research, this will precisely define relations between personal mobility and status, gender, identity and health to explore social scenarios in which people moved between groups.
To better understand the context of mobility, the project also evaluates social networks through which cultural traditions moved within and between distinct societies. For this purpose, regionally particular ways for making and using objects are analysed to explore how practices were exchanged and how types of objects shaped, and were shaped by, their new contexts of use. Metalwork is chosen for this research because new forms came to be widely shared across the region during the crisis, and we can employ a novel suite of analytic methods that explore how this material exposes wider social changes.
As personal and cultural mobility took place in social landscapes, the changing strategies for controlling access and mobility in settlement organisation are next explored. The character and causes of conflicts arising through these diverse venues for interaction are identified and we assess if they were catalysts for, or consequences of, unstable social systems.
THE FALL uses new primary research to test how this interplay between local developments, cultural transmissions and movement of people shaped the processes and events leading to the collapse of these early complex societies
Summary
This project explores changes in migration and conflict at the end of the Bronze Age (ca.1300-1000 BC) and their relevance for understanding the collapse of Europe’s first urban civilisation in the Aegean and proto-urban groups of the Balkans. The objective is to uncover the human face of this turning point in European prehistory by directly tracing the movement of people and the spread of new social practices across cultural boundaries. Hotly debated ancient tales of migrations are tested for the first time using recent advances in genetic and isotopic methods that can measure human mobility. Combined with mortuary research, this will precisely define relations between personal mobility and status, gender, identity and health to explore social scenarios in which people moved between groups.
To better understand the context of mobility, the project also evaluates social networks through which cultural traditions moved within and between distinct societies. For this purpose, regionally particular ways for making and using objects are analysed to explore how practices were exchanged and how types of objects shaped, and were shaped by, their new contexts of use. Metalwork is chosen for this research because new forms came to be widely shared across the region during the crisis, and we can employ a novel suite of analytic methods that explore how this material exposes wider social changes.
As personal and cultural mobility took place in social landscapes, the changing strategies for controlling access and mobility in settlement organisation are next explored. The character and causes of conflicts arising through these diverse venues for interaction are identified and we assess if they were catalysts for, or consequences of, unstable social systems.
THE FALL uses new primary research to test how this interplay between local developments, cultural transmissions and movement of people shaped the processes and events leading to the collapse of these early complex societies
Max ERC Funding
1 998 779 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym Ti-EM
Project Methodological developments for time-resolved single particle cryo-EM
Researcher (PI) Rouslan EFREMOV
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS1, ERC-2016-COG
Summary Protein synthesis and degradation, energy metabolism, signalling, processing of information-encoding polymers (RNA and DNA) are facilitated and regulated by molecular machines, protein complexes that undergo significant conformational changes in time as they facilitate their function. To be able to control the biological processes rationally and with high precision it is essential to understand their mechanism at atomic level. A powerful way to gain detailed insight onto function of these proteins is to see these molecules at atomic resolution while they function. The high-resolution structures of biological macromolecules obtained by X-ray crystallography, NMR and more recently single particle electron cryogenic microscopy (cryo-EM) have provided insights onto the way many molecular machines are constructed. These methods generally provide snapshots of discrete long-lived states, visualizing the conformational changes along the reaction trajectory at high-resolution often remains an elusive objective.
The aim of my proposal is to develop methods for visualizing transient conformations of protein complexes by time-resolved single particle cryo-EM. Time-resolved cryo-EM combines structural study with kinetics by freeze-trapping kinetic intermediates in a biological reaction and has potential to provide atomic-resolution ‘movies’ of functioning biological complexes. Technical limitations however so far restricted widespread use and utilization of the complete potential of this technique.
Main part of this project is dedicated to development of microfluidic instruments for cryo-EM sample preparation. If successful, our approaches will allow trapping kinetic intermediates of molecular machines with millisecond time-resolution using picogram amounts of protein sample. The developed method will be applied to resolve key functional conformations of respiratory complex I and observe regulatory trajectories of ligand-gated ion channels.
Summary
Protein synthesis and degradation, energy metabolism, signalling, processing of information-encoding polymers (RNA and DNA) are facilitated and regulated by molecular machines, protein complexes that undergo significant conformational changes in time as they facilitate their function. To be able to control the biological processes rationally and with high precision it is essential to understand their mechanism at atomic level. A powerful way to gain detailed insight onto function of these proteins is to see these molecules at atomic resolution while they function. The high-resolution structures of biological macromolecules obtained by X-ray crystallography, NMR and more recently single particle electron cryogenic microscopy (cryo-EM) have provided insights onto the way many molecular machines are constructed. These methods generally provide snapshots of discrete long-lived states, visualizing the conformational changes along the reaction trajectory at high-resolution often remains an elusive objective.
The aim of my proposal is to develop methods for visualizing transient conformations of protein complexes by time-resolved single particle cryo-EM. Time-resolved cryo-EM combines structural study with kinetics by freeze-trapping kinetic intermediates in a biological reaction and has potential to provide atomic-resolution ‘movies’ of functioning biological complexes. Technical limitations however so far restricted widespread use and utilization of the complete potential of this technique.
Main part of this project is dedicated to development of microfluidic instruments for cryo-EM sample preparation. If successful, our approaches will allow trapping kinetic intermediates of molecular machines with millisecond time-resolution using picogram amounts of protein sample. The developed method will be applied to resolve key functional conformations of respiratory complex I and observe regulatory trajectories of ligand-gated ion channels.
Max ERC Funding
1 777 157 €
Duration
Start date: 2017-06-01, End date: 2022-05-31
Project acronym TransMID
Project Translational and Transdisciplinary research in Modeling Infectious Diseases
Researcher (PI) Niel Hens
Host Institution (HI) UNIVERSITEIT HASSELT
Call Details Consolidator Grant (CoG), LS7, ERC-2015-CoG
Summary TransMID focuses on the development of novel methods to estimate key epidemiological parameters from both serological and social contact data, with the aim to significantly expand the range of public health questions that can be adequately addressed using such data. Using new statistical and mathematical theory and newly collected as well as readily available serological and social contact data (mainly from Europe), fundamental mathematical and epidemiological challenges as outlined in the following work packages will be addressed: (a) frequency and density dependent mass action relating potential effective contacts to transmission dynamics in (sub)populations of different sizes with an empirical assessment using readily available contact data, (b) behavioural and temporal variations in contact patterns and their impact on the dynamics of infectious diseases, (c) close contact household networks and the assumption of homogeneous mixing within households, (d) estimating parameters from multivariate and serial cross-sectional serological data taking temporal effects and heterogeneity in acquisition into account in combination with the use of social contact data, and (e) finally the design of sero- and social contact surveys with specific focus on serial cross-sectional surveys. TransMID is transdisciplinary in nature with applications on diseases of major public health interest, such as pertussis, cytomegalovirus and measles. Translational methodology is placed at the heart of TransMID resulting in the development of a unifying methodology for other diseases and settings. The development of a toolbox and accompanying software allow easy and effective application of these fundamentally improved techniques on many infectious diseases and in different geographic contexts, which should maximize TransMID’s impact on public health in Europe and beyond.
Summary
TransMID focuses on the development of novel methods to estimate key epidemiological parameters from both serological and social contact data, with the aim to significantly expand the range of public health questions that can be adequately addressed using such data. Using new statistical and mathematical theory and newly collected as well as readily available serological and social contact data (mainly from Europe), fundamental mathematical and epidemiological challenges as outlined in the following work packages will be addressed: (a) frequency and density dependent mass action relating potential effective contacts to transmission dynamics in (sub)populations of different sizes with an empirical assessment using readily available contact data, (b) behavioural and temporal variations in contact patterns and their impact on the dynamics of infectious diseases, (c) close contact household networks and the assumption of homogeneous mixing within households, (d) estimating parameters from multivariate and serial cross-sectional serological data taking temporal effects and heterogeneity in acquisition into account in combination with the use of social contact data, and (e) finally the design of sero- and social contact surveys with specific focus on serial cross-sectional surveys. TransMID is transdisciplinary in nature with applications on diseases of major public health interest, such as pertussis, cytomegalovirus and measles. Translational methodology is placed at the heart of TransMID resulting in the development of a unifying methodology for other diseases and settings. The development of a toolbox and accompanying software allow easy and effective application of these fundamentally improved techniques on many infectious diseases and in different geographic contexts, which should maximize TransMID’s impact on public health in Europe and beyond.
Max ERC Funding
1 639 168 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym UB-RASDisease
Project The ubiquitin system in RAS-driven disease
Researcher (PI) Anna SABLINA
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary The RAS pathway is the most frequently activated signaling node in human disease. Despite intensive efforts, effective therapeutic strategies for RAS-driven disease remain daunting. Elucidation of the mechanisms of RAS activation promises to lead toward novel therapeutic approaches to inhibit RAS activity, and may permit identification of patients who might benefit from RAS pathway inhibitors. Our preliminary studies show that reversible ubiquitylation controls RAS activity by altering its interaction network, thus representing a conceptually novel mechanism of RAS regulation. Our initial steps towards the understanding of the RAS ubiquitylation machinery have shown that positive regulators of RAS ubiquitylation are frequently mutated or down-regulated in RAS-driven diseases, whereas negative regulators are commonly up-regulated. These striking initial results suggest that dysregulation of RAS ubiquitylation may be an alternative mechanism that drives RAS activation in human disease.
Here, we aim to elucidate the role of the ubiquitin system in RAS-driven disease. We will unravel the molecular machinery controlling RAS ubiquitylation and ascertain alterations of the identified machinery in RAS-driven disease. To assess the functional impact of these alterations, we will create genetically modified mouse models and CRISPR-engineered human cell models. We will employ cutting-edge proteomic approaches to determine how disease-associated dysregulation of RAS ubiquitylation perturbs RAS interactions and signalling. Using a synthetic biologic approach, we will obtain insights into mechanisms by which ubiquitylation modulates RAS interactions. It is significant that, in contrast to the majority of known RAS regulators, the ubiquitin enzymes are “druggable”, which implicates them as promising targets for inhibiting RAS activity. Thus, our studies could lead to new ways of defeating RAS-driven disease.
Summary
The RAS pathway is the most frequently activated signaling node in human disease. Despite intensive efforts, effective therapeutic strategies for RAS-driven disease remain daunting. Elucidation of the mechanisms of RAS activation promises to lead toward novel therapeutic approaches to inhibit RAS activity, and may permit identification of patients who might benefit from RAS pathway inhibitors. Our preliminary studies show that reversible ubiquitylation controls RAS activity by altering its interaction network, thus representing a conceptually novel mechanism of RAS regulation. Our initial steps towards the understanding of the RAS ubiquitylation machinery have shown that positive regulators of RAS ubiquitylation are frequently mutated or down-regulated in RAS-driven diseases, whereas negative regulators are commonly up-regulated. These striking initial results suggest that dysregulation of RAS ubiquitylation may be an alternative mechanism that drives RAS activation in human disease.
Here, we aim to elucidate the role of the ubiquitin system in RAS-driven disease. We will unravel the molecular machinery controlling RAS ubiquitylation and ascertain alterations of the identified machinery in RAS-driven disease. To assess the functional impact of these alterations, we will create genetically modified mouse models and CRISPR-engineered human cell models. We will employ cutting-edge proteomic approaches to determine how disease-associated dysregulation of RAS ubiquitylation perturbs RAS interactions and signalling. Using a synthetic biologic approach, we will obtain insights into mechanisms by which ubiquitylation modulates RAS interactions. It is significant that, in contrast to the majority of known RAS regulators, the ubiquitin enzymes are “druggable”, which implicates them as promising targets for inhibiting RAS activity. Thus, our studies could lead to new ways of defeating RAS-driven disease.
Max ERC Funding
1 999 796 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym WakeOpColl
Project Learning and collective intelligence for optimized operations in wake flows
Researcher (PI) Philippe Christian CHATELAIN
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Consolidator Grant (CoG), PE8, ERC-2016-COG
Summary Physics dictate that a flow device has to leave a wake or the signature of it producing sustentation forces, extracting energy, or simply moving through the medium; these flow structures can then impact negatively or favorably another device downstream. Wake turbulence between aircraft in air traffic and wake losses within wind farms are prime examples of this phenomenon, and incidentally constitute pivotal challenges to their respective fields of transportation and wind energy. These are highly complex and unsteady flows, and distributed control based on affordable wake models has failed to produce robust schemes that can alleviate turbulence effects and achieve efficiency at the scale of the system of devices.
This project proposes an Artificial Intelligence and bio-inspired paradigm for the control of flow devices subjected to wake effects. To each flow device, we associate an intelligent agent that pursues given goals of efficiency or turbulence alleviation. Every one of these flow agents now relies on machine-learning tools to learn how to make the right decision when confronted with wake or turbulent flow structures. At a system level, we employ Multi-Agent System and Distributed Learning paradigms. Based on Game Theory, we build a system of interactions that incite the emergence of collaborative behaviors between the agents and achieve global optimized operation among the devices. We claim that the design of a system that learns how to control the flow, is simpler than the design of the control scheme and will yield a more robust scheme.
The learning of formation flying among aircraft and of wake alleviation between wind turbines will constitute our study cases. The investigation will essentially be carried by means of large-scale numerical simulations; such simulations will produce the first ever realizations of self-organized systems in a turbulent flow. We will then apply our learning frameworks to a small-scale wind farm.
Summary
Physics dictate that a flow device has to leave a wake or the signature of it producing sustentation forces, extracting energy, or simply moving through the medium; these flow structures can then impact negatively or favorably another device downstream. Wake turbulence between aircraft in air traffic and wake losses within wind farms are prime examples of this phenomenon, and incidentally constitute pivotal challenges to their respective fields of transportation and wind energy. These are highly complex and unsteady flows, and distributed control based on affordable wake models has failed to produce robust schemes that can alleviate turbulence effects and achieve efficiency at the scale of the system of devices.
This project proposes an Artificial Intelligence and bio-inspired paradigm for the control of flow devices subjected to wake effects. To each flow device, we associate an intelligent agent that pursues given goals of efficiency or turbulence alleviation. Every one of these flow agents now relies on machine-learning tools to learn how to make the right decision when confronted with wake or turbulent flow structures. At a system level, we employ Multi-Agent System and Distributed Learning paradigms. Based on Game Theory, we build a system of interactions that incite the emergence of collaborative behaviors between the agents and achieve global optimized operation among the devices. We claim that the design of a system that learns how to control the flow, is simpler than the design of the control scheme and will yield a more robust scheme.
The learning of formation flying among aircraft and of wake alleviation between wind turbines will constitute our study cases. The investigation will essentially be carried by means of large-scale numerical simulations; such simulations will produce the first ever realizations of self-organized systems in a turbulent flow. We will then apply our learning frameworks to a small-scale wind farm.
Max ERC Funding
1 999 591 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym WipeOutFear
Project How the Brain Learns to Forget - The Neural Signature of Fear Memory Erasure
Researcher (PI) Tom René Beckers
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), SH4, ERC-2014-CoG
Summary Can fear memories be erased from the brain? While it sounds like science fiction, recent findings suggest that fear memories can be undone upon their retrieval, through either pharmacological or behavioural interventions. Still, whether such reconsolidation interference techniques genuinely result in permanent erasure of the original fear memory is a topic of considerable controversy.
Purely behavioural work may never settle the debate, as it cannot be excluded that an apparent loss of fear memory reflects a long-lasting failure to retrieve the fear memory rather than its permanent erasure. We argue that a careful look at the brain memory circuits that control the reduced expression of fear after reconsolidation interference, through imaging studies in humans and inactivation studies in rats, does have the potential to resolve the controversy and decide between erasure and retrieval failure as mechanisms underlying reconsolidation interference [WP1].
To open up a memory trace for reconsolidation interference, it is important that retrieval of the memory is accompanied by surprise or prediction error (PE; a discrepancy between the memory and what actually happens), as we demonstrated in a break-through study in Science (Sevenster, Beckers, & Kindt, 2013). Here, we propose that subtle differences in the degree of PE generated during fear memory retrieval may be what demarcates memory erasure from impaired retrieval. To investigate that claim, we will pioneer an objective neural marker of PE in humans [WP2] and use optogenetics to directly trigger dopamine-based PE signals in the rat brain in order to establish the causal role of PE in enabling fear memory erasure. Along the way, we will investigate the generalization of fear to novel cues as both a problem and a potential target for fear memory modification [WP3] and test an innovative method to interfere with reconsolidation that circumvents limitations of current pharmacological and behavioural techniques [WP4].
Summary
Can fear memories be erased from the brain? While it sounds like science fiction, recent findings suggest that fear memories can be undone upon their retrieval, through either pharmacological or behavioural interventions. Still, whether such reconsolidation interference techniques genuinely result in permanent erasure of the original fear memory is a topic of considerable controversy.
Purely behavioural work may never settle the debate, as it cannot be excluded that an apparent loss of fear memory reflects a long-lasting failure to retrieve the fear memory rather than its permanent erasure. We argue that a careful look at the brain memory circuits that control the reduced expression of fear after reconsolidation interference, through imaging studies in humans and inactivation studies in rats, does have the potential to resolve the controversy and decide between erasure and retrieval failure as mechanisms underlying reconsolidation interference [WP1].
To open up a memory trace for reconsolidation interference, it is important that retrieval of the memory is accompanied by surprise or prediction error (PE; a discrepancy between the memory and what actually happens), as we demonstrated in a break-through study in Science (Sevenster, Beckers, & Kindt, 2013). Here, we propose that subtle differences in the degree of PE generated during fear memory retrieval may be what demarcates memory erasure from impaired retrieval. To investigate that claim, we will pioneer an objective neural marker of PE in humans [WP2] and use optogenetics to directly trigger dopamine-based PE signals in the rat brain in order to establish the causal role of PE in enabling fear memory erasure. Along the way, we will investigate the generalization of fear to novel cues as both a problem and a potential target for fear memory modification [WP3] and test an innovative method to interfere with reconsolidation that circumvents limitations of current pharmacological and behavioural techniques [WP4].
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym WORKINMINING
Project Reinventing paternalism. The micropolitics of work in the mining companies of Central Africa
Researcher (PI) Benjamin Olivier Joseph René Marie Rubbers
Host Institution (HI) UNIVERSITE DE LIEGE
Call Details Consolidator Grant (CoG), SH2, ERC-2014-CoG
Summary In the course of the last decade, African countries rich in mineral resources have experienced an unprecedented boom in mining investment. The copperbelt that crosses the border between Zambia and Congo, where our research will be carried out, represents one of the most striking cases of this “new scramble for Africa”: mining companies of various sizes and origins have flocked to these countries of central Africa to take over the assets of public enterprises and to develop new mining projects. The WORKINMINING research project is a collective ethnographic investigation into the changes that new investors have brought to the organization of labour in these areas marked by a century of corporate paternalism. It explores the micropolitics of work at play in companies of different sizes and origins in Zambia and Congo through three complementary subprojects on 1) the practices and discourses of workers in mining companies; 2) the everyday operation of trade unions in the mining sector; and 3) the actions of state representatives in the domain of labour. The three subprojects will provide the basis for a systematic comparison between the Zambian and Congolese copperbelts. To date, these two areas have been studied separately, despite the fact that their economic and social history shows striking parallels and interconnections. From a theoretical point of view, the overall research project will contribute to an original reflection on the transformations of paternalism as practice and discourse within the context of the mining boom. Its aim is to open up new avenues for an in-depth understanding of the new forms of economic, political, and social dependence (and possibilities) generated by mining capitalism in Africa.
Summary
In the course of the last decade, African countries rich in mineral resources have experienced an unprecedented boom in mining investment. The copperbelt that crosses the border between Zambia and Congo, where our research will be carried out, represents one of the most striking cases of this “new scramble for Africa”: mining companies of various sizes and origins have flocked to these countries of central Africa to take over the assets of public enterprises and to develop new mining projects. The WORKINMINING research project is a collective ethnographic investigation into the changes that new investors have brought to the organization of labour in these areas marked by a century of corporate paternalism. It explores the micropolitics of work at play in companies of different sizes and origins in Zambia and Congo through three complementary subprojects on 1) the practices and discourses of workers in mining companies; 2) the everyday operation of trade unions in the mining sector; and 3) the actions of state representatives in the domain of labour. The three subprojects will provide the basis for a systematic comparison between the Zambian and Congolese copperbelts. To date, these two areas have been studied separately, despite the fact that their economic and social history shows striking parallels and interconnections. From a theoretical point of view, the overall research project will contribute to an original reflection on the transformations of paternalism as practice and discourse within the context of the mining boom. Its aim is to open up new avenues for an in-depth understanding of the new forms of economic, political, and social dependence (and possibilities) generated by mining capitalism in Africa.
Max ERC Funding
1 650 165 €
Duration
Start date: 2015-12-01, End date: 2020-11-30
Project acronym YEASTMEMORY
Project Memory in biological regulatory circuits
Researcher (PI) Kevin Joan Verstrepen
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS2, ERC-2015-CoG
Summary The emergence of intelligence –the ability to remember and analyze data to make decisions– was a milestone in evolution. Intelligence and memory are usually associated with plastic neuronal connections in higher organisms. However, new discoveries hint that a rudimentary form of intelligence is rooted in networks that regulate gene expression in a wide range of organisms, including bacteria and yeasts. Specifically, we and others have shown that microbes show plastic behavioral responses to past experiences, such as previously available nutrients or stresses. This implies that information about the past is somehow retained and passed to next generations, where it influences cellular regulation.
The goal of this project is to use a simple eukaryotic regulatory circuit as a model to obtain a comprehensive picture of the different genes and molecular mechanisms underlying history-dependence (hysteresis) in cellular regulation. Specifically, we will study maltose (MAL) regulation in budding yeast, because this signaling pathway serves as a model for gene regulation circuits in other organisms, including humans. We will use a combination of genetic screens, live-cell microscopy in custom-built microfluidic devices, and mathematical modeling to pursue four aims:
1. To provide a comprehensive quantitative analysis of hysteresis in MAL regulation
2. To unravel the molecular mechanisms contributing to hysteresis
3. To unravel the epigenetic mechanisms allowing hysteresis to extend over several generations
4. To characterize the ecological relevance of hysteresis
This project will establish an innovative model for hysteresis and generate a genome-wide, systems-level view of how past influences can be stored in regulatory cascades to influence cellular decision-making. The results will contribute to a paradigm shift in our view of biological regulation and memory, with possible applications in fields as diverse as industrial microbiology, synthetic biology and medicine.
Summary
The emergence of intelligence –the ability to remember and analyze data to make decisions– was a milestone in evolution. Intelligence and memory are usually associated with plastic neuronal connections in higher organisms. However, new discoveries hint that a rudimentary form of intelligence is rooted in networks that regulate gene expression in a wide range of organisms, including bacteria and yeasts. Specifically, we and others have shown that microbes show plastic behavioral responses to past experiences, such as previously available nutrients or stresses. This implies that information about the past is somehow retained and passed to next generations, where it influences cellular regulation.
The goal of this project is to use a simple eukaryotic regulatory circuit as a model to obtain a comprehensive picture of the different genes and molecular mechanisms underlying history-dependence (hysteresis) in cellular regulation. Specifically, we will study maltose (MAL) regulation in budding yeast, because this signaling pathway serves as a model for gene regulation circuits in other organisms, including humans. We will use a combination of genetic screens, live-cell microscopy in custom-built microfluidic devices, and mathematical modeling to pursue four aims:
1. To provide a comprehensive quantitative analysis of hysteresis in MAL regulation
2. To unravel the molecular mechanisms contributing to hysteresis
3. To unravel the epigenetic mechanisms allowing hysteresis to extend over several generations
4. To characterize the ecological relevance of hysteresis
This project will establish an innovative model for hysteresis and generate a genome-wide, systems-level view of how past influences can be stored in regulatory cascades to influence cellular decision-making. The results will contribute to a paradigm shift in our view of biological regulation and memory, with possible applications in fields as diverse as industrial microbiology, synthetic biology and medicine.
Max ERC Funding
1 959 844 €
Duration
Start date: 2016-10-01, End date: 2021-09-30