Project acronym 3DAddChip
Project Additive manufacturing of 2D nanomaterials for on-chip technologies
Researcher (PI) Cecilia Mattevi
Host Institution (HI) IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Call Details Consolidator Grant (CoG), PE8, ERC-2018-COG
Summary The realization of “the internet of things” is inevitably constrained at the level of miniaturization that can be achieved in the electronic devices. A variety of technologies are now going through a process of miniaturization from micro-electromechanical systems (MEMS) to biomedical sensors, and actuators. The ultimate goal is to combine several components in an individual multifunctional platform, realizing on-chip technology. Devices have to be constrained to small footprints and exhibit high performance. Thus, the miniaturization process requires the introduction of new manufacturing processes to fabricate devices in the 3D space over small areas. 3D printing via robocasting is emerging as a new manufacturing technique, which allows shaping virtually any materials from polymers to ceramic and metals into complex architectures.
The goal of this research is to establish a 3D printing paradigm to produce miniaturized complex shape devices with diversified functions for on-chip technologies adaptable to “smart environment” such as flexible substrates, smart textiles and biomedical sensors. The elementary building blocks of the devices will be two-dimensional nanomaterials, which present unique optical, electrical, chemical and mechanical properties. The synergistic combination of the intrinsic characteristics of the 2D nanomaterials and the specific 3D architecture will enable advanced performance of the 3D printed objects. This research programme will demonstrate 3D miniaturized energy storage and energy conversion units fabricated with inks produced using a pilot plant. These units are essential components of any on-chip platform as they ensure energy autonomy via self-powering. Ultimately, this research will initiate new technologies based on miniaturized 3D devices.
Summary
The realization of “the internet of things” is inevitably constrained at the level of miniaturization that can be achieved in the electronic devices. A variety of technologies are now going through a process of miniaturization from micro-electromechanical systems (MEMS) to biomedical sensors, and actuators. The ultimate goal is to combine several components in an individual multifunctional platform, realizing on-chip technology. Devices have to be constrained to small footprints and exhibit high performance. Thus, the miniaturization process requires the introduction of new manufacturing processes to fabricate devices in the 3D space over small areas. 3D printing via robocasting is emerging as a new manufacturing technique, which allows shaping virtually any materials from polymers to ceramic and metals into complex architectures.
The goal of this research is to establish a 3D printing paradigm to produce miniaturized complex shape devices with diversified functions for on-chip technologies adaptable to “smart environment” such as flexible substrates, smart textiles and biomedical sensors. The elementary building blocks of the devices will be two-dimensional nanomaterials, which present unique optical, electrical, chemical and mechanical properties. The synergistic combination of the intrinsic characteristics of the 2D nanomaterials and the specific 3D architecture will enable advanced performance of the 3D printed objects. This research programme will demonstrate 3D miniaturized energy storage and energy conversion units fabricated with inks produced using a pilot plant. These units are essential components of any on-chip platform as they ensure energy autonomy via self-powering. Ultimately, this research will initiate new technologies based on miniaturized 3D devices.
Max ERC Funding
1 999 968 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym AMPHIBIANS
Project All Optical Manipulation of Photonic Metasurfaces for Biophotonic Applications in Microfluidic Environments
Researcher (PI) Andrea DI FALCO
Host Institution (HI) THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS
Call Details Consolidator Grant (CoG), PE7, ERC-2018-COG
Summary The current trend in biophotonics is to try and replicate the same ease and precision that our hands, eyes and ears offer at the macroscopic level, e.g. to hold, observe, squeeze and pull, rotate, cut and probe biological specimens in microfluidic environments. The bidding to get closer and closer to the object of interest has prompted the development of extremely advanced manipulation techniques at scales comparable to that of the wavelength of light. However, the fact that the optical beam can only access the microfluidic chip from the narrow aperture of a microscopic objective limits the versatility of the photonic function that can be realized.
With this project, the applicant proposes to introduce a new biophotonic platform based on the all optical manipulation of flexible photonic metasurfaces. These artificial two-dimensional materials have virtually arbitrary photonic responses and have an intrinsic exceptional mechanical stability. This cross-disciplinary project, bridging photonics, material sciences and biology, will enable the adoption of the most modern and advanced photonic designs in microfluidic environments, with transformative benefits for microscopy and biophotonic applications at the interface of molecular and cell biology.
Summary
The current trend in biophotonics is to try and replicate the same ease and precision that our hands, eyes and ears offer at the macroscopic level, e.g. to hold, observe, squeeze and pull, rotate, cut and probe biological specimens in microfluidic environments. The bidding to get closer and closer to the object of interest has prompted the development of extremely advanced manipulation techniques at scales comparable to that of the wavelength of light. However, the fact that the optical beam can only access the microfluidic chip from the narrow aperture of a microscopic objective limits the versatility of the photonic function that can be realized.
With this project, the applicant proposes to introduce a new biophotonic platform based on the all optical manipulation of flexible photonic metasurfaces. These artificial two-dimensional materials have virtually arbitrary photonic responses and have an intrinsic exceptional mechanical stability. This cross-disciplinary project, bridging photonics, material sciences and biology, will enable the adoption of the most modern and advanced photonic designs in microfluidic environments, with transformative benefits for microscopy and biophotonic applications at the interface of molecular and cell biology.
Max ERC Funding
1 999 524 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym ANTI-ATOM
Project Many-body theory of antimatter interactions with atoms, molecules and condensed matter
Researcher (PI) Dermot GREEN
Host Institution (HI) THE QUEEN'S UNIVERSITY OF BELFAST
Call Details Starting Grant (StG), PE2, ERC-2018-STG
Summary The ability of positrons to annihilate with electrons, producing characteristic gamma rays, gives them important use in medicine via positron-emission tomography (PET), diagnostics of industrially-important materials, and in elucidating astrophysical phenomena. Moreover, the fundamental interactions of positrons and positronium (Ps) with atoms, molecules and condensed matter are currently under intensive study in numerous international laboratories, to illuminate collision phenomena and perform precision tests of fundamental laws.
Proper interpretation and development of these costly and difficult experiments requires accurate calculations of low-energy positron and Ps interactions with normal matter. These systems, however, involve strong correlations, e.g., polarisation of the atom and virtual-Ps formation (where an atomic electron tunnels to the positron): they significantly effect positron- and Ps-atom/molecule interactions, e.g., enhancing annihilation rates by many orders of magnitude, and making the accurate description of these systems a challenging many-body problem. Current theoretical capability lags severely behind that of experiment. Major theoretical and computational developments are required to bridge the gap.
One powerful method, which accounts for the correlations in a natural, transparent and systematic way, is many-body theory (MBT). Building on my expertise in the field, I propose to develop new MBT to deliver unique and unrivalled capability in theory and computation of low-energy positron and Ps interactions with atoms, molecules, and condensed matter. The ambitious programme will provide the basic understanding required to interpret and develop the fundamental experiments, antimatter-based materials science techniques, and wider technologies, e.g., (PET), and more broadly, potentially revolutionary and generally applicable computational methodologies that promise to define a new level of high-precision in atomic-MBT calculations.
Summary
The ability of positrons to annihilate with electrons, producing characteristic gamma rays, gives them important use in medicine via positron-emission tomography (PET), diagnostics of industrially-important materials, and in elucidating astrophysical phenomena. Moreover, the fundamental interactions of positrons and positronium (Ps) with atoms, molecules and condensed matter are currently under intensive study in numerous international laboratories, to illuminate collision phenomena and perform precision tests of fundamental laws.
Proper interpretation and development of these costly and difficult experiments requires accurate calculations of low-energy positron and Ps interactions with normal matter. These systems, however, involve strong correlations, e.g., polarisation of the atom and virtual-Ps formation (where an atomic electron tunnels to the positron): they significantly effect positron- and Ps-atom/molecule interactions, e.g., enhancing annihilation rates by many orders of magnitude, and making the accurate description of these systems a challenging many-body problem. Current theoretical capability lags severely behind that of experiment. Major theoretical and computational developments are required to bridge the gap.
One powerful method, which accounts for the correlations in a natural, transparent and systematic way, is many-body theory (MBT). Building on my expertise in the field, I propose to develop new MBT to deliver unique and unrivalled capability in theory and computation of low-energy positron and Ps interactions with atoms, molecules, and condensed matter. The ambitious programme will provide the basic understanding required to interpret and develop the fundamental experiments, antimatter-based materials science techniques, and wider technologies, e.g., (PET), and more broadly, potentially revolutionary and generally applicable computational methodologies that promise to define a new level of high-precision in atomic-MBT calculations.
Max ERC Funding
1 318 419 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym BATNMR
Project Development and Application of New NMR Methods for Studying Interphases and Interfaces in Batteries
Researcher (PI) Clare GREY
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Advanced Grant (AdG), PE4, ERC-2018-ADG
Summary The development of longer lasting, higher energy density and cheaper rechargeable batteries represents one of the major technological challenges of our society, batteries representing the limiting components in the shift from gasoline-powered to electric vehicles. They are also required to enable the use of more (typically intermittent) renewable energy, to balance demand with generation. This proposal seeks to develop and apply new NMR metrologies to determine the structure and dynamics of the multiple electrode-electrolyte interfaces and interphases that are present in these batteries, and how they evolve during battery cycling. New dynamic nuclear polarization (DNP) techniques will be exploited to extract structural information about the interface between the battery electrode and the passivating layers that grow on the electrode materials (the solid electrolyte interphase, SEI) and that are inherent to the stability of the batteries. The role of the SEI (and ceramic interfaces) in controlling lithium metal dendrite growth will be determined in liquid based and all solid state batteries.
New DNP approaches will be developed that are compatible with the heterogeneous and reactive species that are present in conventional, all-solid state, Li-air and redox flow batteries. Method development will run in parallel with the use of DNP approaches to determine the structures of the various battery interfaces and interphases, testing the stability of conventional biradicals in these harsh oxidizing and reducing conditions, modifying the experimental approaches where appropriate. The final result will be a significantly improved understanding of the structures of these phases and how they evolve on cycling, coupled with strategies for designing improved SEI structures. The nature of the interface between a lithium metal dendrite and ceramic composite will be determined, providing much needed insight into how these (unwanted) dendrites grow in all solid state batteries. DNP approaches coupled with electron spin resonance will be use, where possible in situ, to determine the reaction mechanisms of organic molecules such as quinones in organic-based redox flow batteries in order to help prevent degradation of the electrochemically active species.
This proposal involves NMR method development specifically designed to explore a variety of battery chemistries. Thus, this proposal is interdisciplinary, containing both a strong emphasis on materials characterization, electrochemistry and electronic structures of materials, interfaces and nanoparticles, and on analytical and physical chemistry. Some of the methodology will be applicable to other materials and systems including (for example) other electrochemical technologies such as fuel cells and solar fuels and the study of catalysts (to probe surface structure).
Summary
The development of longer lasting, higher energy density and cheaper rechargeable batteries represents one of the major technological challenges of our society, batteries representing the limiting components in the shift from gasoline-powered to electric vehicles. They are also required to enable the use of more (typically intermittent) renewable energy, to balance demand with generation. This proposal seeks to develop and apply new NMR metrologies to determine the structure and dynamics of the multiple electrode-electrolyte interfaces and interphases that are present in these batteries, and how they evolve during battery cycling. New dynamic nuclear polarization (DNP) techniques will be exploited to extract structural information about the interface between the battery electrode and the passivating layers that grow on the electrode materials (the solid electrolyte interphase, SEI) and that are inherent to the stability of the batteries. The role of the SEI (and ceramic interfaces) in controlling lithium metal dendrite growth will be determined in liquid based and all solid state batteries.
New DNP approaches will be developed that are compatible with the heterogeneous and reactive species that are present in conventional, all-solid state, Li-air and redox flow batteries. Method development will run in parallel with the use of DNP approaches to determine the structures of the various battery interfaces and interphases, testing the stability of conventional biradicals in these harsh oxidizing and reducing conditions, modifying the experimental approaches where appropriate. The final result will be a significantly improved understanding of the structures of these phases and how they evolve on cycling, coupled with strategies for designing improved SEI structures. The nature of the interface between a lithium metal dendrite and ceramic composite will be determined, providing much needed insight into how these (unwanted) dendrites grow in all solid state batteries. DNP approaches coupled with electron spin resonance will be use, where possible in situ, to determine the reaction mechanisms of organic molecules such as quinones in organic-based redox flow batteries in order to help prevent degradation of the electrochemically active species.
This proposal involves NMR method development specifically designed to explore a variety of battery chemistries. Thus, this proposal is interdisciplinary, containing both a strong emphasis on materials characterization, electrochemistry and electronic structures of materials, interfaces and nanoparticles, and on analytical and physical chemistry. Some of the methodology will be applicable to other materials and systems including (for example) other electrochemical technologies such as fuel cells and solar fuels and the study of catalysts (to probe surface structure).
Max ERC Funding
3 498 219 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym BEBOP
Project Binaries Escorted By Orbiting Planets
Researcher (PI) Amaury TRIAUD
Host Institution (HI) THE UNIVERSITY OF BIRMINGHAM
Call Details Starting Grant (StG), PE9, ERC-2018-STG
Summary Planets orbiting both stars of a binary system -circumbinary planets- are challenging our understanding about how planets assemble, and how their orbits subsequently evolve. Long confined to science-fiction, circumbinary planets were confirmed by the Kepler spacecraft, in one of its most spectacular, and impactful result. Despite Kepler’s insights, a lot remains unknown about these planets. Kepler also suffered from intractable biases that the BEBOP project will solve.
BEBOP will revolutionise how we detect and study circumbinary planets. Conducting a Doppler survey, we will vastly improve the efficiency of circumbinary planet detection, and remove Kepler’s biases. BEBOP will construct a clearer picture of the circumbinary planet population, and free us from the inherent vagaries, and important costs of space-funding. Thanks to the Doppler method we will study dynamical effects unique to circumbinary planets, estimate their multiplicity, and compute their true occurrence rate.
Circumbinary planets are essential objects. Binaries disturbe planet formation. Any similarity, and any difference between the population of circumbinary planets and planets orbiting single stars, will bring novel information about how planets are produced. In addition, circumbinary planets have unique orbital properties that boost their probability to experience transits. BEBOP’s detections will open the door to atmospheric studies of colder worlds than presently available.
Based on already discovered systems, and on two successful proofs-of-concept, the BEBOP team will detect 15 circumbinary gas-giants, three times more than Kepler. BEBOP will provide an unambiguous measure of the efficiency of gas-giant formation in circumbinary environments. In addition the BEBOP project comes with an ambitious programme to combine three detection methods (Doppler, transits, and astrometry) in a holistic approach that will bolster investigations into circumbinary planets, and create a lasting legacy.
Summary
Planets orbiting both stars of a binary system -circumbinary planets- are challenging our understanding about how planets assemble, and how their orbits subsequently evolve. Long confined to science-fiction, circumbinary planets were confirmed by the Kepler spacecraft, in one of its most spectacular, and impactful result. Despite Kepler’s insights, a lot remains unknown about these planets. Kepler also suffered from intractable biases that the BEBOP project will solve.
BEBOP will revolutionise how we detect and study circumbinary planets. Conducting a Doppler survey, we will vastly improve the efficiency of circumbinary planet detection, and remove Kepler’s biases. BEBOP will construct a clearer picture of the circumbinary planet population, and free us from the inherent vagaries, and important costs of space-funding. Thanks to the Doppler method we will study dynamical effects unique to circumbinary planets, estimate their multiplicity, and compute their true occurrence rate.
Circumbinary planets are essential objects. Binaries disturbe planet formation. Any similarity, and any difference between the population of circumbinary planets and planets orbiting single stars, will bring novel information about how planets are produced. In addition, circumbinary planets have unique orbital properties that boost their probability to experience transits. BEBOP’s detections will open the door to atmospheric studies of colder worlds than presently available.
Based on already discovered systems, and on two successful proofs-of-concept, the BEBOP team will detect 15 circumbinary gas-giants, three times more than Kepler. BEBOP will provide an unambiguous measure of the efficiency of gas-giant formation in circumbinary environments. In addition the BEBOP project comes with an ambitious programme to combine three detection methods (Doppler, transits, and astrometry) in a holistic approach that will bolster investigations into circumbinary planets, and create a lasting legacy.
Max ERC Funding
1 186 313 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym BiocatSusChem
Project Biocatalysis for Sustainable Chemistry – Understanding Oxidation/Reduction of Small Molecules by Redox Metalloenzymes via a Suite of Steady State and Transient Infrared Electrochemical Methods
Researcher (PI) Kylie VINCENT
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Consolidator Grant (CoG), PE4, ERC-2018-COG
Summary Many significant global challenges in catalysis for energy and sustainable chemistry have already been solved in nature. Metalloenzymes within microorganisms catalyse the transformation of carbon dioxide into simple carbon building blocks or fuels, the reduction of dinitrogen to ammonia under ambient conditions and the production and utilisation of dihydrogen. Catalytic sites for these reactions are necessarily based on metals that are abundant in the environment, including iron, nickel and molybdenum. However, attempts to generate biomimetic catalysts have largely failed to reproduce the high activity, stability and selectivity of enzymes. Proton and electron transfer and substrate binding are all finely choreographed, and we do not yet understand how this is achieved. This project develops a suite of new experimental infrared (IR) spectroscopy tools to probe and understand mechanisms of redox metalloenzymes in situ during electrochemically-controlled steady state turnover, and during electron-transfer-triggered transient studies. The ability of IR spectroscopy to report on the nature and strength of chemical bonds makes it ideally suited to follow the activation and transformation of small molecule reactants at metalloenzyme catalytic sites, binding of inhibitors, and protonation of specific sites. By extending to the far-IR, or introducing mid-IR-active probe amino acids, redox and structural changes in biological electron relay chains also become accessible. Taking as models the enzymes nitrogenase, hydrogenase, carbon monoxide dehydrogenase and formate dehydrogenase, the project sets out to establish a unified understanding of central concepts in small molecule activation in biology. It will reveal precise ways in which chemical events are coordinated inside complex multicentre metalloenzymes, propelling a new generation of bio-inspired catalysts and uncovering new chemistry of enzymes.
Summary
Many significant global challenges in catalysis for energy and sustainable chemistry have already been solved in nature. Metalloenzymes within microorganisms catalyse the transformation of carbon dioxide into simple carbon building blocks or fuels, the reduction of dinitrogen to ammonia under ambient conditions and the production and utilisation of dihydrogen. Catalytic sites for these reactions are necessarily based on metals that are abundant in the environment, including iron, nickel and molybdenum. However, attempts to generate biomimetic catalysts have largely failed to reproduce the high activity, stability and selectivity of enzymes. Proton and electron transfer and substrate binding are all finely choreographed, and we do not yet understand how this is achieved. This project develops a suite of new experimental infrared (IR) spectroscopy tools to probe and understand mechanisms of redox metalloenzymes in situ during electrochemically-controlled steady state turnover, and during electron-transfer-triggered transient studies. The ability of IR spectroscopy to report on the nature and strength of chemical bonds makes it ideally suited to follow the activation and transformation of small molecule reactants at metalloenzyme catalytic sites, binding of inhibitors, and protonation of specific sites. By extending to the far-IR, or introducing mid-IR-active probe amino acids, redox and structural changes in biological electron relay chains also become accessible. Taking as models the enzymes nitrogenase, hydrogenase, carbon monoxide dehydrogenase and formate dehydrogenase, the project sets out to establish a unified understanding of central concepts in small molecule activation in biology. It will reveal precise ways in which chemical events are coordinated inside complex multicentre metalloenzymes, propelling a new generation of bio-inspired catalysts and uncovering new chemistry of enzymes.
Max ERC Funding
1 997 286 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym BioDisOrder
Project Order and Disorder at the Surface of Biological Membranes.
Researcher (PI) Alfonso DE SIMONE
Host Institution (HI) IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Call Details Consolidator Grant (CoG), PE4, ERC-2018-COG
Summary Heterogeneous biomolecular mechanisms at the surface of cellular membranes are often fundamental to generate function and dysfunction in living systems. These processes are governed by transient and dynamical macromolecular interactions that pose tremendous challenges to current analytical tools, as the majority of these methods perform best in the study of well-defined and poorly dynamical systems. This proposal aims at a radical innovation in the characterisation of complex processes that are dominated by structural order and disorder, including those occurring at the surface of biological membranes such as cellular signalling, the assembly of molecular machinery, or the regulation vesicular trafficking.
I outline a programme to realise a vision where the combination of experiments and theory can delineate a new analytical platform to study complex biochemical mechanisms at a multiscale level, and to elucidate their role in physiological and pathological contexts. To achieve this ambitious goal, my research team will develop tools based on the combination of nuclear magnetic resonance (NMR) spectroscopy and molecular simulations, which will enable probing the structure, dynamics, thermodynamics and kinetics of complex protein-protein and protein-membrane interactions occurring at the surface of cellular membranes. The ability to advance both the experimental and theoretical sides, and their combination, is fundamental to define the next generation of methods to achieve our transformative aims. We will provide evidence of the innovative nature of the proposed multiscale approach by addressing some of the great questions in neuroscience and elucidate the details of how functional and aberrant biological complexity is achieved via the fine tuning between structural order and disorder at the neuronal synapse.
Summary
Heterogeneous biomolecular mechanisms at the surface of cellular membranes are often fundamental to generate function and dysfunction in living systems. These processes are governed by transient and dynamical macromolecular interactions that pose tremendous challenges to current analytical tools, as the majority of these methods perform best in the study of well-defined and poorly dynamical systems. This proposal aims at a radical innovation in the characterisation of complex processes that are dominated by structural order and disorder, including those occurring at the surface of biological membranes such as cellular signalling, the assembly of molecular machinery, or the regulation vesicular trafficking.
I outline a programme to realise a vision where the combination of experiments and theory can delineate a new analytical platform to study complex biochemical mechanisms at a multiscale level, and to elucidate their role in physiological and pathological contexts. To achieve this ambitious goal, my research team will develop tools based on the combination of nuclear magnetic resonance (NMR) spectroscopy and molecular simulations, which will enable probing the structure, dynamics, thermodynamics and kinetics of complex protein-protein and protein-membrane interactions occurring at the surface of cellular membranes. The ability to advance both the experimental and theoretical sides, and their combination, is fundamental to define the next generation of methods to achieve our transformative aims. We will provide evidence of the innovative nature of the proposed multiscale approach by addressing some of the great questions in neuroscience and elucidate the details of how functional and aberrant biological complexity is achieved via the fine tuning between structural order and disorder at the neuronal synapse.
Max ERC Funding
1 999 945 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym BrainNanoFlow
Project Nanoscale dynamics in the extracellular space of the brain in vivo
Researcher (PI) Juan Alberto VARELA
Host Institution (HI) THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS
Call Details Starting Grant (StG), LS5, ERC-2018-STG
Summary Aggregates of proteins such as amyloid-beta and alpha-synuclein circulate the extracellular space of the brain (ECS) and are thought to be key players in the development of neurodegenerative diseases. The clearance of these aggregates (among other toxic metabolites) is a fundamental physiological feature of the brain which is poorly understood due to the lack of techniques to study the nanoscale organisation of the ECS. Exciting advances in this field have recently shown that clearance is enhanced during sleep due to a major volume change in the ECS, facilitating the flow of the interstitial fluid. However, this process has only been characterised at a low spatial resolution while the physiological changes occur at the nanoscale. The recently proposed “glymphatic” pathway still remains controversial, as there are no techniques capable of distinguishing between diffusion and bulk flow in the ECS of living animals. Understanding these processes at a higher spatial resolution requires the development of single-molecule imaging techniques that can study the brain in living animals. Taking advantage of the strategies I have recently developed to target single-molecules in the brain in vivo with nanoparticles, we will do “nanoscopy” in living animals. Our proposal will test the glymphatic pathway at the spatial scale in which events happen, and explore how sleep and wake cycles alter the ECS and the diffusion of receptors in neuronal plasma membrane. Overall, BrainNanoFlow aims to understand how nanoscale changes in the ECS facilitate clearance of protein aggregates. We will also provide new insights to the pathological consequences of impaired clearance, focusing on the interactions between these aggregates and their putative receptors. Being able to perform single-molecule studies in vivo in the brain will be a major breakthrough in neurobiology, making possible the study of physiological and pathological processes that cannot be studied in simpler brain preparations.
Summary
Aggregates of proteins such as amyloid-beta and alpha-synuclein circulate the extracellular space of the brain (ECS) and are thought to be key players in the development of neurodegenerative diseases. The clearance of these aggregates (among other toxic metabolites) is a fundamental physiological feature of the brain which is poorly understood due to the lack of techniques to study the nanoscale organisation of the ECS. Exciting advances in this field have recently shown that clearance is enhanced during sleep due to a major volume change in the ECS, facilitating the flow of the interstitial fluid. However, this process has only been characterised at a low spatial resolution while the physiological changes occur at the nanoscale. The recently proposed “glymphatic” pathway still remains controversial, as there are no techniques capable of distinguishing between diffusion and bulk flow in the ECS of living animals. Understanding these processes at a higher spatial resolution requires the development of single-molecule imaging techniques that can study the brain in living animals. Taking advantage of the strategies I have recently developed to target single-molecules in the brain in vivo with nanoparticles, we will do “nanoscopy” in living animals. Our proposal will test the glymphatic pathway at the spatial scale in which events happen, and explore how sleep and wake cycles alter the ECS and the diffusion of receptors in neuronal plasma membrane. Overall, BrainNanoFlow aims to understand how nanoscale changes in the ECS facilitate clearance of protein aggregates. We will also provide new insights to the pathological consequences of impaired clearance, focusing on the interactions between these aggregates and their putative receptors. Being able to perform single-molecule studies in vivo in the brain will be a major breakthrough in neurobiology, making possible the study of physiological and pathological processes that cannot be studied in simpler brain preparations.
Max ERC Funding
1 552 948 €
Duration
Start date: 2018-12-01, End date: 2023-11-30
Project acronym CANCEREVO
Project Deciphering and predicting the evolution of cancer cell populations
Researcher (PI) Marco Helmut GERLINGER
Host Institution (HI) THE INSTITUTE OF CANCER RESEARCH: ROYAL CANCER HOSPITAL
Call Details Consolidator Grant (CoG), LS7, ERC-2018-COG
Summary The fundamental evolutionary nature of cancer is well recognized but an understanding of the dynamic evolutionary changes occurring throughout a tumour’s lifetime and their clinical implications is in its infancy. Current approaches to reveal cancer evolution by sequencing of multiple biopsies remain of limited use in the clinic due to sample access problems in multi-metastatic disease. Circulating tumour DNA (ctDNA) is thought to comprehensively sample subclones across metastatic sites. However, available technologies either have high sensitivity but are restricted to the analysis of small gene panels or they allow sequencing of large target regions such as exomes but with too limited sensitivity to detect rare subclones. We developed a novel error corrected sequencing technology that will be applied to perform deep exome sequencing on longitudinal ctDNA samples from highly heterogeneous metastatic gastro-oesophageal carcinomas. This will track the evolution of the entire cancer population over the lifetime of these tumours, from metastatic disease over drug therapy to end-stage disease and enable ground breaking insights into cancer population evolution rules and mechanisms. Specifically, we will: 1. Define the genomic landscape and drivers of metastatic and end stage disease. 2. Understand the rules of cancer evolutionary dynamics of entire cancer cell populations. 3. Predict cancer evolution and define the limits of predictability. 4. Rapidly identify drug resistance mechanisms to chemo- and immunotherapy based on signals of Darwinian selection such as parallel and convergent evolution. Our sequencing technology and analysis framework will also transform the way cancer evolution metrics can be accessed and interpreted in the clinic which will have major impacts, ranging from better biomarkers to predict cancer evolution to the identification of drug targets that drive disease progression and therapy resistance.
Summary
The fundamental evolutionary nature of cancer is well recognized but an understanding of the dynamic evolutionary changes occurring throughout a tumour’s lifetime and their clinical implications is in its infancy. Current approaches to reveal cancer evolution by sequencing of multiple biopsies remain of limited use in the clinic due to sample access problems in multi-metastatic disease. Circulating tumour DNA (ctDNA) is thought to comprehensively sample subclones across metastatic sites. However, available technologies either have high sensitivity but are restricted to the analysis of small gene panels or they allow sequencing of large target regions such as exomes but with too limited sensitivity to detect rare subclones. We developed a novel error corrected sequencing technology that will be applied to perform deep exome sequencing on longitudinal ctDNA samples from highly heterogeneous metastatic gastro-oesophageal carcinomas. This will track the evolution of the entire cancer population over the lifetime of these tumours, from metastatic disease over drug therapy to end-stage disease and enable ground breaking insights into cancer population evolution rules and mechanisms. Specifically, we will: 1. Define the genomic landscape and drivers of metastatic and end stage disease. 2. Understand the rules of cancer evolutionary dynamics of entire cancer cell populations. 3. Predict cancer evolution and define the limits of predictability. 4. Rapidly identify drug resistance mechanisms to chemo- and immunotherapy based on signals of Darwinian selection such as parallel and convergent evolution. Our sequencing technology and analysis framework will also transform the way cancer evolution metrics can be accessed and interpreted in the clinic which will have major impacts, ranging from better biomarkers to predict cancer evolution to the identification of drug targets that drive disease progression and therapy resistance.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym CartographY
Project Mapping Stellar Helium
Researcher (PI) Guy DAVIES
Host Institution (HI) THE UNIVERSITY OF BIRMINGHAM
Call Details Starting Grant (StG), PE9, ERC-2018-STG
Summary In the epoch of Gaia, fundamental stellar properties will be made widely available for large numbers of stars. These properties are expected to unleash a new wave of discovery in the field of astrophysics. But while many properties of stars are measurable, meaningful Helium abundances (Y) remain elusive and as a result fundamental properties are not accurate.
Helium enrichment laws, which underpin most stellar properties, link initial Y to initial metallicity, but these relations are very uncertain with gradients (dY/dZ) spanning the range 1 to 3. This uncertainty is the initial Y problem and this is a bottleneck that must be overcome to unleash the true potential of Gaia.
Without measurements of initial Y for all stars we need to find alternative observables that trace out the evolution of initial Y. We will search for better tracers using the power of asteroseismology as a calibrator.
Asteroseismic measures of Helium will be used to construct a map from observable properties (fundamental, chemical or even dynamical) back to initial Helium. This is a challenge that can only be solved through the use of the latest asteroseismic techniques coupled to a rigorous yet flexible statistical scheme. I am uniquely qualified in the cutting edge methods of asteroseismology and the application of advanced multi-level statistical models. The intersection of these two skill sets will allow me to solve the initial Helium problem.
The motivation for a timely solution to this problem could not be stronger. We have just entered an age of large asteroseismic datasets, vast spectroscopic surveys, and the billion star program of Gaia. The next wave of scientific breakthroughs in stellar physics, exoplanetary science, and Galactic archeology will be held back unless accurate fundamental stellar properties are available. We can only produce these accurate properties with a reliable map of stellar Helium.
Summary
In the epoch of Gaia, fundamental stellar properties will be made widely available for large numbers of stars. These properties are expected to unleash a new wave of discovery in the field of astrophysics. But while many properties of stars are measurable, meaningful Helium abundances (Y) remain elusive and as a result fundamental properties are not accurate.
Helium enrichment laws, which underpin most stellar properties, link initial Y to initial metallicity, but these relations are very uncertain with gradients (dY/dZ) spanning the range 1 to 3. This uncertainty is the initial Y problem and this is a bottleneck that must be overcome to unleash the true potential of Gaia.
Without measurements of initial Y for all stars we need to find alternative observables that trace out the evolution of initial Y. We will search for better tracers using the power of asteroseismology as a calibrator.
Asteroseismic measures of Helium will be used to construct a map from observable properties (fundamental, chemical or even dynamical) back to initial Helium. This is a challenge that can only be solved through the use of the latest asteroseismic techniques coupled to a rigorous yet flexible statistical scheme. I am uniquely qualified in the cutting edge methods of asteroseismology and the application of advanced multi-level statistical models. The intersection of these two skill sets will allow me to solve the initial Helium problem.
The motivation for a timely solution to this problem could not be stronger. We have just entered an age of large asteroseismic datasets, vast spectroscopic surveys, and the billion star program of Gaia. The next wave of scientific breakthroughs in stellar physics, exoplanetary science, and Galactic archeology will be held back unless accurate fundamental stellar properties are available. We can only produce these accurate properties with a reliable map of stellar Helium.
Max ERC Funding
1 496 203 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym CELL-in-CELL
Project Understanding host cellular systems that drive an endosymbiotic interaction
Researcher (PI) Thomas RICHARDS
Host Institution (HI) THE UNIVERSITY OF EXETER
Call Details Consolidator Grant (CoG), LS8, ERC-2018-COG
Summary Endosymbiosis is a key phenomenon that has played a critical role in shaping biological diversity, driving gene transfer and generating cellular complexity. During the process of endosymbiosis, one cell is integrated within another to become a critical component of the recipient, changing its characteristics and allowing it to chart a distinct evolutionary trajectory. Endosymbiosis was fundamentally important to the origin and evolution of eukaryotic cellular complexity, because an endosymbiotic event roots the diversification of all known eukaryotes and endosymbiosis has continually driven the diversification of huge sections of the eukaryotic tree of life. Little is known about how nascent endosymbioses are established or how they go on to form novel cellular compartments known as endosymbiotic organelles. Paramecium bursaria is a single celled protist that harbours multiple green algae within to form a phototrophic endosymbiosis. This relationship is nascent as the partners can be separated, grown separately, and the endosymbiosis reinitiated. This project will identify, for the first time, the gene functions that enable one cell to incubate another within to form a stable endosymbiotic interaction. To identify and explore which host genes control endosymbiosis in P. bursaria we have developed RNAi silencing technology. In the proposed project we will conduct genome sequencing, followed by a large-scale RNAi knockdown screening experiment, to identify host genes that when silenced perturb the endosymbiont population. Having identified candidate genes, we will investigate the localisation and function of the host encoded proteins. This project will significantly change our current understanding of the evolutionary phenomenon of endosymbiosis by identifying the cellular adaptations that drive these interactions, advancing our understanding of how these important moments in evolution occur and how core cellular systems can diversify in function.
Summary
Endosymbiosis is a key phenomenon that has played a critical role in shaping biological diversity, driving gene transfer and generating cellular complexity. During the process of endosymbiosis, one cell is integrated within another to become a critical component of the recipient, changing its characteristics and allowing it to chart a distinct evolutionary trajectory. Endosymbiosis was fundamentally important to the origin and evolution of eukaryotic cellular complexity, because an endosymbiotic event roots the diversification of all known eukaryotes and endosymbiosis has continually driven the diversification of huge sections of the eukaryotic tree of life. Little is known about how nascent endosymbioses are established or how they go on to form novel cellular compartments known as endosymbiotic organelles. Paramecium bursaria is a single celled protist that harbours multiple green algae within to form a phototrophic endosymbiosis. This relationship is nascent as the partners can be separated, grown separately, and the endosymbiosis reinitiated. This project will identify, for the first time, the gene functions that enable one cell to incubate another within to form a stable endosymbiotic interaction. To identify and explore which host genes control endosymbiosis in P. bursaria we have developed RNAi silencing technology. In the proposed project we will conduct genome sequencing, followed by a large-scale RNAi knockdown screening experiment, to identify host genes that when silenced perturb the endosymbiont population. Having identified candidate genes, we will investigate the localisation and function of the host encoded proteins. This project will significantly change our current understanding of the evolutionary phenomenon of endosymbiosis by identifying the cellular adaptations that drive these interactions, advancing our understanding of how these important moments in evolution occur and how core cellular systems can diversify in function.
Max ERC Funding
2 602 483 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym COEVOPRO
Project Drivers and consequences of coevolution in protective symbiosis
Researcher (PI) Kayla KING
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Starting Grant (StG), LS8, ERC-2018-STG
Summary All organisms in nature are targets for parasite attack. Over a century ago, it was first observed that symbiotic species living in hosts can provide a strong barrier against infection, beyond the host’s own defence responses. We now know that ‘protective’ microbial symbiont species are key components of plant, animal, and human microbiota, shaping host health in the face of parasite infection. I have shown that microbes can evolve within days to protect, providing the possibility that microbe-mediated defences can take-over from hosts in fighting with parasites over evolutionary time. This new discovery of an evolvable microbe-mediated defence challenges our fundamental understanding of the host-parasite relationship. Here, I will use a novel nematode-microbe interaction, an experimental evolution approach, and assays of phenotypic and genomic changes (the latter using state-of-the-art sequencing and CRISPR-Cas9 technologies) to generate new insights into the drivers and consequences of coevolving protective symbioses. Specifically, the objectives are to test: (i) the ability of microbe-mediated protection to evolve more rapidly than host-encoded resistance, (ii) the impacts of evolvable protective microbes on host-parasite coevolution, and the effect of community complexity, in the form of (iii) parasite and (iv) within-host microbial heterogeneity, in shaping host-protective microbe coevolution from scratch. Together, these objectives will generate a new, synthetic understanding of how protective symbioses evolve and influence host resistance and parasite infectivity, with far-reaching implications for tackling coevolution in communities.
Summary
All organisms in nature are targets for parasite attack. Over a century ago, it was first observed that symbiotic species living in hosts can provide a strong barrier against infection, beyond the host’s own defence responses. We now know that ‘protective’ microbial symbiont species are key components of plant, animal, and human microbiota, shaping host health in the face of parasite infection. I have shown that microbes can evolve within days to protect, providing the possibility that microbe-mediated defences can take-over from hosts in fighting with parasites over evolutionary time. This new discovery of an evolvable microbe-mediated defence challenges our fundamental understanding of the host-parasite relationship. Here, I will use a novel nematode-microbe interaction, an experimental evolution approach, and assays of phenotypic and genomic changes (the latter using state-of-the-art sequencing and CRISPR-Cas9 technologies) to generate new insights into the drivers and consequences of coevolving protective symbioses. Specifically, the objectives are to test: (i) the ability of microbe-mediated protection to evolve more rapidly than host-encoded resistance, (ii) the impacts of evolvable protective microbes on host-parasite coevolution, and the effect of community complexity, in the form of (iii) parasite and (iv) within-host microbial heterogeneity, in shaping host-protective microbe coevolution from scratch. Together, these objectives will generate a new, synthetic understanding of how protective symbioses evolve and influence host resistance and parasite infectivity, with far-reaching implications for tackling coevolution in communities.
Max ERC Funding
1 499 275 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym CONTROL
Project Laser control over crystal nucleation
Researcher (PI) Klaas Wijnne
Host Institution (HI) UNIVERSITY OF GLASGOW
Call Details Advanced Grant (AdG), PE4, ERC-2018-ADG
Summary The CONTROL programme I propose here is a five-year programme of frontier research to develop a novel platform for the manipulation of phase transitions, crystal nucleation, and polymorph control based on a novel optical-tweezing technique and plasmonics. About 20 years ago, it was shown that lasers can nucleate crystals in super-saturated solution and might even be able to select the polymorph that crystallises. However, no theoretical model was found explaining the results and little progress was made.
In a recent publication (Nat. Chem. 10, 506 (2018)), we showed that laser-induced nucleation can be understood in terms of the harnessing of concentration fluctuations near a liquid–liquid critical point using optical tweezing. This breakthrough opens the way to a research programme with risky, ambitious, and ground-breaking long-term aims: full control over crystal nucleation including chirality and polymorphism.
New optical and microscopic techniques will be developed to allow laser manipulation on a massively parallel scale and chiral nucleation using twisted light. Systematically characterising and manipulating the phase behaviour of mixtures, will allow the use of the optical-tweezing effect to effectively control the crystallisation of small molecules, peptides, proteins, and polymers. Exploiting nanostructures will allow parallelisation on a vast scale and fine control over chirality and polymorph selection through plasmonic tweezing. Even partial success in the five years of the programme will lead to fundamental new insights and technological breakthroughs. These breakthroughs will be exploited for future commercial applications towards the end of the project.
Summary
The CONTROL programme I propose here is a five-year programme of frontier research to develop a novel platform for the manipulation of phase transitions, crystal nucleation, and polymorph control based on a novel optical-tweezing technique and plasmonics. About 20 years ago, it was shown that lasers can nucleate crystals in super-saturated solution and might even be able to select the polymorph that crystallises. However, no theoretical model was found explaining the results and little progress was made.
In a recent publication (Nat. Chem. 10, 506 (2018)), we showed that laser-induced nucleation can be understood in terms of the harnessing of concentration fluctuations near a liquid–liquid critical point using optical tweezing. This breakthrough opens the way to a research programme with risky, ambitious, and ground-breaking long-term aims: full control over crystal nucleation including chirality and polymorphism.
New optical and microscopic techniques will be developed to allow laser manipulation on a massively parallel scale and chiral nucleation using twisted light. Systematically characterising and manipulating the phase behaviour of mixtures, will allow the use of the optical-tweezing effect to effectively control the crystallisation of small molecules, peptides, proteins, and polymers. Exploiting nanostructures will allow parallelisation on a vast scale and fine control over chirality and polymorph selection through plasmonic tweezing. Even partial success in the five years of the programme will lead to fundamental new insights and technological breakthroughs. These breakthroughs will be exploited for future commercial applications towards the end of the project.
Max ERC Funding
2 488 162 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym CRYOREP
Project Chromosome Replication Visualised by Cryo-EM
Researcher (PI) Alessandro COSTA
Host Institution (HI) THE FRANCIS CRICK INSTITUTE LIMITED
Call Details Consolidator Grant (CoG), LS1, ERC-2018-COG
Summary In eukaryotic cells, DNA replication is tightly regulated to ensure that the genome is duplicated only once per cell cycle. Errors in the control mechanisms that regulate chromosome ploidy cause genomic instability, which is linked to the development of cellular abnormalities, genetic disease and the onset of cancer. Recent reconstitution experiments performed with purified proteins revealed that initiation of eukaryotic genome duplication requires three distinct steps. First, DNA replication start sites are identified and targeted for the loading of an inactive MCM helicase motor, which encircles the double helix. Second, MCM activators are recruited, causing duplex-DNA untwisting. Third, upon interaction with a firing factor, the MCM ring opens to eject one DNA strand, leading to unwinding of the replication fork and duplication by dedicated replicative polymerases. These three events are not understood at a molecular level. Structural investigations so far aimed at imaging artificially isolated replication steps and used simplified templates, such as linear duplex DNA to study helicase loading or pre-formed forks to understand unwinding. However, the natural substrate of the eukaryotic replication machinery is not DNA but rather chromatin, formed of nucleosome arrays that compact the genome. Chromatin plays important regulatory roles in all steps of DNA replication, by dictating origin start-site selection and stimulating replication fork progression. Only by studying chromatin replication, we argue, will we understand the molecular basis of genome propagation. To this end, we have developed new protocols to perform visual biochemistry experiments under the cryo-electron microscope, to image chromatin duplication at high resolution, frozen as it is being catalysed. Using these strategies we want to generate a molecular movie of the entire replication reaction. Our achievements will change the way we think about genome stability in eukaryotic cells.
Summary
In eukaryotic cells, DNA replication is tightly regulated to ensure that the genome is duplicated only once per cell cycle. Errors in the control mechanisms that regulate chromosome ploidy cause genomic instability, which is linked to the development of cellular abnormalities, genetic disease and the onset of cancer. Recent reconstitution experiments performed with purified proteins revealed that initiation of eukaryotic genome duplication requires three distinct steps. First, DNA replication start sites are identified and targeted for the loading of an inactive MCM helicase motor, which encircles the double helix. Second, MCM activators are recruited, causing duplex-DNA untwisting. Third, upon interaction with a firing factor, the MCM ring opens to eject one DNA strand, leading to unwinding of the replication fork and duplication by dedicated replicative polymerases. These three events are not understood at a molecular level. Structural investigations so far aimed at imaging artificially isolated replication steps and used simplified templates, such as linear duplex DNA to study helicase loading or pre-formed forks to understand unwinding. However, the natural substrate of the eukaryotic replication machinery is not DNA but rather chromatin, formed of nucleosome arrays that compact the genome. Chromatin plays important regulatory roles in all steps of DNA replication, by dictating origin start-site selection and stimulating replication fork progression. Only by studying chromatin replication, we argue, will we understand the molecular basis of genome propagation. To this end, we have developed new protocols to perform visual biochemistry experiments under the cryo-electron microscope, to image chromatin duplication at high resolution, frozen as it is being catalysed. Using these strategies we want to generate a molecular movie of the entire replication reaction. Our achievements will change the way we think about genome stability in eukaryotic cells.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym CURVATURE
Project Optimal transport techniques in the geometric analysis of spaces with curvature bounds
Researcher (PI) Andrea MONDINO
Host Institution (HI) THE UNIVERSITY OF WARWICK
Call Details Starting Grant (StG), PE1, ERC-2018-STG
Summary The unifying goal of the CURVATURE project is to develop new strategies and tools in order to attack fundamental questions in the theory of smooth and non-smooth spaces satisfying (mainly Ricci or sectional) curvature restrictions/bounds.
The program involves analysis and geometry, with strong connections to probability and mathematical physics. The problems will be attacked by an innovative merging of geometric analysis and optimal transport techniques that already enabled the PI and collaborators to solve important open questions in the field.
The project is composed of three inter-connected themes:
Theme I investigates the structure of non smooth spaces with Ricci curvature bounded below and their link with
Alexandrov geometry. The goal of this theme is two-fold: on the one hand get a refined structural picture of
non-smooth spaces with Ricci curvature lower bounds, on the other hand apply the new methods to make progress in some long-standing open problems in Alexandrov geometry.
Theme II aims to achieve a unified treatment of geometric and functional inequalities for both smooth and
non-smooth, finite and infinite dimensional spaces satisfying Ricci curvature lower bounds. The approach
will be used also to establish new quantitative versions of classical geometric/functional inequalities for smooth Riemannian manifolds and to make progress in long standing open problems for both Riemannian and sub-Riemannian manifolds.
Theme III will investigate optimal transport in a Lorentzian setting, where the Ricci curvature plays a key
role in Einstein's equations of general relativity.
The three themes together will yield a unique unifying insight of smooth and non-smooth structures with curvature bounds.
Summary
The unifying goal of the CURVATURE project is to develop new strategies and tools in order to attack fundamental questions in the theory of smooth and non-smooth spaces satisfying (mainly Ricci or sectional) curvature restrictions/bounds.
The program involves analysis and geometry, with strong connections to probability and mathematical physics. The problems will be attacked by an innovative merging of geometric analysis and optimal transport techniques that already enabled the PI and collaborators to solve important open questions in the field.
The project is composed of three inter-connected themes:
Theme I investigates the structure of non smooth spaces with Ricci curvature bounded below and their link with
Alexandrov geometry. The goal of this theme is two-fold: on the one hand get a refined structural picture of
non-smooth spaces with Ricci curvature lower bounds, on the other hand apply the new methods to make progress in some long-standing open problems in Alexandrov geometry.
Theme II aims to achieve a unified treatment of geometric and functional inequalities for both smooth and
non-smooth, finite and infinite dimensional spaces satisfying Ricci curvature lower bounds. The approach
will be used also to establish new quantitative versions of classical geometric/functional inequalities for smooth Riemannian manifolds and to make progress in long standing open problems for both Riemannian and sub-Riemannian manifolds.
Theme III will investigate optimal transport in a Lorentzian setting, where the Ricci curvature plays a key
role in Einstein's equations of general relativity.
The three themes together will yield a unique unifying insight of smooth and non-smooth structures with curvature bounds.
Max ERC Funding
1 256 221 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym DeCO-HVP
Project Decouple Electrochemical Reduction of Carbon Dioxide to High Value Products
Researcher (PI) Kathryn Ellen TOGHILL
Host Institution (HI) UNIVERSITY OF LANCASTER
Call Details Starting Grant (StG), PE4, ERC-2018-STG
Summary This programme aims to convert carbon dioxide into high value hydrocarbon products using carbon neutral electrochemical methods. High value products are materials that may be used as carbon based chemical feedstocks and as synthetic fuels, reducing the ever-present demand on oil and natural gas to fulfil these needs. The project is within the remit of an international ambition to valorise carbon dioxide waste and reduce environmentally harmful greenhouse gas generation, as opposed to stopping at carbon capture and sequestration. This proposal outlines an alternative route to carbon dioxide utilisation (CDU), in which a mediated approach that decouples the electrochemical reduction from the catalytic process is explored. Novel bimetallic catalysts will be synthesised and studied, meditating electron donating solutions will be generated, and a robust and comprehensive analytical arrangement will be implemented to allow total identification and quantification of the wide range of possible products.
Electrocatalytic CO2 reduction is one of the key approaches to CDU, as it has a direct pathway to carbon neutral renewable electricity. Nonetheless it is a field that has shown minimal progress in the past 30 years. A paradigm shift is necessary in the approach to electrochemical CO2 reduction, where conventional heterogeneous interfacial catalysis is limited by mass transport, passivation, and CO2 solubility. This proposal outlines the use of electron donating mediators generated separately to the catalysed chemical reduction of CO2, such that the electrolyte becomes the electrode. This opens a whole new avenue for catalyst research, and here target bimetallic catalysts that suppress side reactions and promote high value product synthesis are described.
Summary
This programme aims to convert carbon dioxide into high value hydrocarbon products using carbon neutral electrochemical methods. High value products are materials that may be used as carbon based chemical feedstocks and as synthetic fuels, reducing the ever-present demand on oil and natural gas to fulfil these needs. The project is within the remit of an international ambition to valorise carbon dioxide waste and reduce environmentally harmful greenhouse gas generation, as opposed to stopping at carbon capture and sequestration. This proposal outlines an alternative route to carbon dioxide utilisation (CDU), in which a mediated approach that decouples the electrochemical reduction from the catalytic process is explored. Novel bimetallic catalysts will be synthesised and studied, meditating electron donating solutions will be generated, and a robust and comprehensive analytical arrangement will be implemented to allow total identification and quantification of the wide range of possible products.
Electrocatalytic CO2 reduction is one of the key approaches to CDU, as it has a direct pathway to carbon neutral renewable electricity. Nonetheless it is a field that has shown minimal progress in the past 30 years. A paradigm shift is necessary in the approach to electrochemical CO2 reduction, where conventional heterogeneous interfacial catalysis is limited by mass transport, passivation, and CO2 solubility. This proposal outlines the use of electron donating mediators generated separately to the catalysed chemical reduction of CO2, such that the electrolyte becomes the electrode. This opens a whole new avenue for catalyst research, and here target bimetallic catalysts that suppress side reactions and promote high value product synthesis are described.
Max ERC Funding
1 499 994 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym DEFTPORE
Project Deformation control on flow and transport in soft porous media
Researcher (PI) Christopher MacMinn
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Starting Grant (StG), PE8, ERC-2018-STG
Summary Fluid flows through soft porous media are ubiquitous across nature and industry, from methane bubbles rising through lakebed and seabed sediments to nutrient transport in living cells and tissues to the manufacturing of paper products and many composites. Despite their ubiquity, flow and transport in these systems remain at the frontier of our ability to measure and model. A defining feature of soft porous media is that they can experience deformations that transform the pore structure. This has profound implications for the transport and mixing of solutes and the simultaneous flow of multiple fluid phases, both of which are strongly coupled to the pore structure. The goal of this project is to shed new light on flow and transport in soft porous media by studying a series of three canonical flow problems (tracer transport, miscible viscous fingering, and two-phase flow) across soft adaptations of three classical model systems (a soft-walled Hele Shaw cell, a quasi-2D packing of soft beads, and a cylindrical 3D “core” of soft beads). These flow problems and model systems have been thoroughly studied in the context of stiff porous media, allowing us to leverage decades of previous work and focus exclusively on the new behaviour introduced by “softness”. We will collect an extensive set of new, high-resolution experimental observations in each of these model systems, and we will reconcile these observations with mathematical models based on the traditional approach of upscaled constitutive functions. By updating this traditional approach to account for deformation, we will provide a new, pragmatic class of continuum models that capture the leading-order features of flow and transport in soft porous media. Our results will jumpstart the field of flow and transport in soft porous media, breaking open a vast new realm of research questions and applications around understanding, predicting, and controlling these complex systems.
Summary
Fluid flows through soft porous media are ubiquitous across nature and industry, from methane bubbles rising through lakebed and seabed sediments to nutrient transport in living cells and tissues to the manufacturing of paper products and many composites. Despite their ubiquity, flow and transport in these systems remain at the frontier of our ability to measure and model. A defining feature of soft porous media is that they can experience deformations that transform the pore structure. This has profound implications for the transport and mixing of solutes and the simultaneous flow of multiple fluid phases, both of which are strongly coupled to the pore structure. The goal of this project is to shed new light on flow and transport in soft porous media by studying a series of three canonical flow problems (tracer transport, miscible viscous fingering, and two-phase flow) across soft adaptations of three classical model systems (a soft-walled Hele Shaw cell, a quasi-2D packing of soft beads, and a cylindrical 3D “core” of soft beads). These flow problems and model systems have been thoroughly studied in the context of stiff porous media, allowing us to leverage decades of previous work and focus exclusively on the new behaviour introduced by “softness”. We will collect an extensive set of new, high-resolution experimental observations in each of these model systems, and we will reconcile these observations with mathematical models based on the traditional approach of upscaled constitutive functions. By updating this traditional approach to account for deformation, we will provide a new, pragmatic class of continuum models that capture the leading-order features of flow and transport in soft porous media. Our results will jumpstart the field of flow and transport in soft porous media, breaking open a vast new realm of research questions and applications around understanding, predicting, and controlling these complex systems.
Max ERC Funding
1 482 862 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym DISEASE
Project Disease Risk And Immune Strategies In Social Insects
Researcher (PI) Nathalie STROEYMEYT
Host Institution (HI) UNIVERSITY OF BRISTOL
Call Details Starting Grant (StG), LS8, ERC-2018-STG
Summary Group-living has been predicted to have opposing effects on disease risk and immune strategies. First, since repeated contacts between individuals facilitate pathogen transmission, sociality may favour high investment in personal immunity. Alternatively, because social animals can limit disease spread through collective sanitary actions (e.g., mutual grooming) or organisational features (e.g., division of the group’s social network into distinct subsets), sociality may instead favour low investment in personal immunity. The overall goal of this project is to experimentally test these conflicting predictions in ants using advanced data collection and analytical tools. I will first quantify the effect of social organisation on disease transmission using a combination of automated behavioural tracking, social network analysis, and empirical tracking of transmission markers (fluorescent beads). Experimental network manipulations and controlled disease seeding by a robotic ant will allow key predictions from network epidemiology to be tested, with broad implications for disease management strategies. I will then study the effect of colony size on social network structure and disease transmission, and how this in turn affects investment in personal immunity. This will shed light on far-reaching hypotheses about the effect of group size on social organisation ('size-complexity’ hypothesis) and immune investment (‘density-dependent prophylaxis’). Finally, I will explore whether prolonged pathogen pressure induces colonies to reinforce the transmission-inhibiting aspects of their social organisation (e.g., colony fragmentation) or to invest more in personal immunity. This project will represent the first empirical investigation of the role of social organisation in disease risk management, and allow its importance to be compared with other immune strategies. This will constitute a significant advance in our understanding of the complex feedback between sociality and health.
Summary
Group-living has been predicted to have opposing effects on disease risk and immune strategies. First, since repeated contacts between individuals facilitate pathogen transmission, sociality may favour high investment in personal immunity. Alternatively, because social animals can limit disease spread through collective sanitary actions (e.g., mutual grooming) or organisational features (e.g., division of the group’s social network into distinct subsets), sociality may instead favour low investment in personal immunity. The overall goal of this project is to experimentally test these conflicting predictions in ants using advanced data collection and analytical tools. I will first quantify the effect of social organisation on disease transmission using a combination of automated behavioural tracking, social network analysis, and empirical tracking of transmission markers (fluorescent beads). Experimental network manipulations and controlled disease seeding by a robotic ant will allow key predictions from network epidemiology to be tested, with broad implications for disease management strategies. I will then study the effect of colony size on social network structure and disease transmission, and how this in turn affects investment in personal immunity. This will shed light on far-reaching hypotheses about the effect of group size on social organisation ('size-complexity’ hypothesis) and immune investment (‘density-dependent prophylaxis’). Finally, I will explore whether prolonged pathogen pressure induces colonies to reinforce the transmission-inhibiting aspects of their social organisation (e.g., colony fragmentation) or to invest more in personal immunity. This project will represent the first empirical investigation of the role of social organisation in disease risk management, and allow its importance to be compared with other immune strategies. This will constitute a significant advance in our understanding of the complex feedback between sociality and health.
Max ERC Funding
1 499 995 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym DISKtoHALO
Project From the accretion disk to the cluster halo: the multi-scale physics of black hole feedback
Researcher (PI) Christopher REYNOLDS
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Advanced Grant (AdG), PE9, ERC-2018-ADG
Summary It is firmly established that supermassive black holes (SMBHs) have a profound influence on the evolution of galaxies and galaxy groups/clusters. Yet, almost 20 years after this realization, fundamental questions remain. What determines the efficiency with which an active galactic nucleus (AGN) couples to its surroundings? Why does AGN feedback appear to be ineffective in low-mass galaxies? In maintenance-mode feedback, how does the AGN regulate to closely balance cooling? How does the nature of AGN feedback change as we consider higher redshifts and push back to the epoch of the first galaxies? AGN feedback is a truly multi-scale phenomenon. Observations show that AGN have an energetic impact on galactic-, group-, and cluster-halo scales. Yet the efficiency with which an accreting SMBH releases energy, and the partitioning of that energy into radiation, winds, and relativistic jets, is dictated by complex processes in the accretion disk on AU scales, 10^10 times smaller than the halo. Furthermore, especially in massive systems where feedback proceeds via the heating of a hot circumgalactic or intracluster medium (CGM/ICM), the relevant microphysics of the hot baryons is unclear, requiring an understanding of plasma instabilities on 10^-9pc scales. We propose a set of projects that explore the multiscale physics of AGN feedback. Magnetohydrodynamic models of accretion disks will be constructed to study the AGN radiation/winds/jets and calibrate observable proxies of SMBH mass and accretion rate. We will use the machinery of plasma physics to characterize the CGM/ICM microphysics relevant to the thermalization of AGN-injected energy. Finally, we will produce new galaxy-, group- and cluster-scale models incorporating the new microphysical prescriptions and AGN models. Our new theoretical understanding of AGN feedback as a function of halo mass, environment, and cosmic time is essential for interpreting the torrent of data from current and future observatories
Summary
It is firmly established that supermassive black holes (SMBHs) have a profound influence on the evolution of galaxies and galaxy groups/clusters. Yet, almost 20 years after this realization, fundamental questions remain. What determines the efficiency with which an active galactic nucleus (AGN) couples to its surroundings? Why does AGN feedback appear to be ineffective in low-mass galaxies? In maintenance-mode feedback, how does the AGN regulate to closely balance cooling? How does the nature of AGN feedback change as we consider higher redshifts and push back to the epoch of the first galaxies? AGN feedback is a truly multi-scale phenomenon. Observations show that AGN have an energetic impact on galactic-, group-, and cluster-halo scales. Yet the efficiency with which an accreting SMBH releases energy, and the partitioning of that energy into radiation, winds, and relativistic jets, is dictated by complex processes in the accretion disk on AU scales, 10^10 times smaller than the halo. Furthermore, especially in massive systems where feedback proceeds via the heating of a hot circumgalactic or intracluster medium (CGM/ICM), the relevant microphysics of the hot baryons is unclear, requiring an understanding of plasma instabilities on 10^-9pc scales. We propose a set of projects that explore the multiscale physics of AGN feedback. Magnetohydrodynamic models of accretion disks will be constructed to study the AGN radiation/winds/jets and calibrate observable proxies of SMBH mass and accretion rate. We will use the machinery of plasma physics to characterize the CGM/ICM microphysics relevant to the thermalization of AGN-injected energy. Finally, we will produce new galaxy-, group- and cluster-scale models incorporating the new microphysical prescriptions and AGN models. Our new theoretical understanding of AGN feedback as a function of halo mass, environment, and cosmic time is essential for interpreting the torrent of data from current and future observatories
Max ERC Funding
2 489 918 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym Division
Project Division of Labour and the Evolution of Complexity
Researcher (PI) Stuart WEST
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Advanced Grant (AdG), LS8, ERC-2018-ADG
Summary Division of labour is fundamental to the evolution of life on earth, allowing genes to work together to form genomes, cells to build organisms, pathogens to escape immune attack, and eusocial insect societies to achieve ecological dominance. Consequently, if we want to understand how life on earth evolved, we need to understand why division of labour does or, just as importantly, does not evolve. There are two major outstanding problems for our understanding of division of labour: First, how can we explain why division of labour has evolved with some traits, in some species, but not others? Given the potential benefits of dividing labour, why does it not arise more frequently in cooperative species? Second, in cases where division of labour has evolved, how can we explain the form that it takes? Why do factors such as the degree of specialisation, or mechanism used to produce different phenotypes, vary across species? I will combine my social evolution expertise with novel synthetic and genomic approaches to address these problems. I will explain the distribution and form of division of labour in the natural world, with an interdisciplinary research programme, divided into four work packages: (1) I will provide the first experimental test of the fundamental assumption that division of labour provides an efficiency benefit, by synthetically manipulating bacteria. (2) I will test how selection has acted for and against the evolution of division of labour in natural populations of bacteria, using novel genomic analysis techniques. (3) I will determine why division of labour evolved in some species, but not others, with an across species study on insects, and experimental evolution of bacteria. (4) I will establish a new field of research on why different species use different mechanisms to divide labour: genetic differences, environmental cues, or random assignment of roles. I will develop theory to explain this variation, and test this theory experimentally.
Summary
Division of labour is fundamental to the evolution of life on earth, allowing genes to work together to form genomes, cells to build organisms, pathogens to escape immune attack, and eusocial insect societies to achieve ecological dominance. Consequently, if we want to understand how life on earth evolved, we need to understand why division of labour does or, just as importantly, does not evolve. There are two major outstanding problems for our understanding of division of labour: First, how can we explain why division of labour has evolved with some traits, in some species, but not others? Given the potential benefits of dividing labour, why does it not arise more frequently in cooperative species? Second, in cases where division of labour has evolved, how can we explain the form that it takes? Why do factors such as the degree of specialisation, or mechanism used to produce different phenotypes, vary across species? I will combine my social evolution expertise with novel synthetic and genomic approaches to address these problems. I will explain the distribution and form of division of labour in the natural world, with an interdisciplinary research programme, divided into four work packages: (1) I will provide the first experimental test of the fundamental assumption that division of labour provides an efficiency benefit, by synthetically manipulating bacteria. (2) I will test how selection has acted for and against the evolution of division of labour in natural populations of bacteria, using novel genomic analysis techniques. (3) I will determine why division of labour evolved in some species, but not others, with an across species study on insects, and experimental evolution of bacteria. (4) I will establish a new field of research on why different species use different mechanisms to divide labour: genetic differences, environmental cues, or random assignment of roles. I will develop theory to explain this variation, and test this theory experimentally.
Max ERC Funding
2 491 766 €
Duration
Start date: 2020-01-01, End date: 2024-12-31