Project acronym ANYONIC
Project Statistics of Exotic Fractional Hall States
Researcher (PI) Mordehai HEIBLUM
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Country Israel
Call Details Advanced Grant (AdG), PE3, ERC-2018-ADG
Summary Since their discovery, Quantum Hall Effects have unfolded intriguing avenues of research, exhibiting a multitude of unexpected exotic states: accurate quantized conductance states; particle-like and hole-conjugate fractional states; counter-propagating charge and neutral edge modes; and fractionally charged quasiparticles - abelian and (predicted) non-abelian. Since the sought-after anyonic statistics of fractional states is yet to be verified, I propose to launch a thorough search for it employing new means. I believe that our studies will serve the expanding field of the emerging family of topological materials.
Our on-going attempts to observe quasiparticles (qp’s) interference, in order to uncover their exchange statistics (under ERC), taught us that spontaneous, non-topological, ‘neutral edge modes’ are the main culprit responsible for qp’s dephasing. In an effort to quench the neutral modes, we plan to develop a new class of micro-size interferometers, based on synthetically engineered fractional modes. Flowing away from the fixed physical edge, their local environment can be controlled, making it less hospitable for the neutral modes.
Having at hand our synthetized helical-type fractional modes, it is highly tempting to employ them to form localize para-fermions, which will extend the family of exotic states. This can be done by proximitizing them to a superconductor, or gapping them via inter-mode coupling.
The less familiar thermal conductance measurements, which we recently developed (under ERC), will be applied throughout our work to identify ‘topological orders’ of exotic states; namely, distinguishing between abelian and non-abelian fractional states.
The proposal is based on an intensive and continuous MBE effort, aimed at developing extremely high purity, GaAs based, structures. Among them, structures that support our new synthetic modes that are amenable to manipulation, and others that host rare exotic states, such as v=5/2, 12/5, 19/8, and 35/16.
Summary
Since their discovery, Quantum Hall Effects have unfolded intriguing avenues of research, exhibiting a multitude of unexpected exotic states: accurate quantized conductance states; particle-like and hole-conjugate fractional states; counter-propagating charge and neutral edge modes; and fractionally charged quasiparticles - abelian and (predicted) non-abelian. Since the sought-after anyonic statistics of fractional states is yet to be verified, I propose to launch a thorough search for it employing new means. I believe that our studies will serve the expanding field of the emerging family of topological materials.
Our on-going attempts to observe quasiparticles (qp’s) interference, in order to uncover their exchange statistics (under ERC), taught us that spontaneous, non-topological, ‘neutral edge modes’ are the main culprit responsible for qp’s dephasing. In an effort to quench the neutral modes, we plan to develop a new class of micro-size interferometers, based on synthetically engineered fractional modes. Flowing away from the fixed physical edge, their local environment can be controlled, making it less hospitable for the neutral modes.
Having at hand our synthetized helical-type fractional modes, it is highly tempting to employ them to form localize para-fermions, which will extend the family of exotic states. This can be done by proximitizing them to a superconductor, or gapping them via inter-mode coupling.
The less familiar thermal conductance measurements, which we recently developed (under ERC), will be applied throughout our work to identify ‘topological orders’ of exotic states; namely, distinguishing between abelian and non-abelian fractional states.
The proposal is based on an intensive and continuous MBE effort, aimed at developing extremely high purity, GaAs based, structures. Among them, structures that support our new synthetic modes that are amenable to manipulation, and others that host rare exotic states, such as v=5/2, 12/5, 19/8, and 35/16.
Max ERC Funding
1 801 094 €
Duration
Start date: 2019-05-01, End date: 2024-10-31
Project acronym BreakingBarriers
Project Targeting endothelial barriers to combat disease
Researcher (PI) Anne Eichmann
Host Institution (HI) INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
Country France
Call Details Advanced Grant (AdG), LS4, ERC-2018-ADG
Summary Tissue homeostasis requires coordinated barrier function in blood and lymphatic vessels. Opening of junctions between endothelial cells (ECs) lining blood vessels leads to tissue fluid accumulation that is drained by lymphatic vessels. A pathological increase in blood vessel permeability or lack or malfunction of lymphatic vessels leads to edema and associated defects in macromolecule and immune cell clearance. Unbalanced barrier function between blood and lymphatic vessels contributes to neurodegeneration, chronic inflammation, and cardiovascular disease. In this proposal, we seek to gain mechanistic understanding into coordination of barrier function between blood and lymphatic vessels, how this process is altered in disease models and how it can be manipulated for therapeutic purposes. We will focus on two critical barriers with diametrically opposing functions, the blood-brain barrier (BBB) and the lymphatic capillary barrier (LCB). ECs of the BBB form very tight junctions that restrict paracellular access to the brain. In contrast, open junctions of the LCB ensure uptake of extravasated fluid, macromolecules and immune cells, as well as lipid in the gut. We have identified novel effectors of BBB and LCB junctions and will determine their role in adult homeostasis and in disease models. Mouse genetic gain and loss of function approaches in combination with histological, ultrastructural, functional and molecular analysis will determine mechanisms underlying formation of tissue specific EC barriers. Deliverables include in vivo validated targets that could be used for i) opening the BBB on demand for drug delivery into the brain, and ii) to lower plasma lipid uptake via interfering with the LCB, with implications for prevention of obesity, cardiovascular disease and inflammation. These pioneering studies promise to open up new opportunities for research and treatment of neurovascular and cardiovascular disease.
Summary
Tissue homeostasis requires coordinated barrier function in blood and lymphatic vessels. Opening of junctions between endothelial cells (ECs) lining blood vessels leads to tissue fluid accumulation that is drained by lymphatic vessels. A pathological increase in blood vessel permeability or lack or malfunction of lymphatic vessels leads to edema and associated defects in macromolecule and immune cell clearance. Unbalanced barrier function between blood and lymphatic vessels contributes to neurodegeneration, chronic inflammation, and cardiovascular disease. In this proposal, we seek to gain mechanistic understanding into coordination of barrier function between blood and lymphatic vessels, how this process is altered in disease models and how it can be manipulated for therapeutic purposes. We will focus on two critical barriers with diametrically opposing functions, the blood-brain barrier (BBB) and the lymphatic capillary barrier (LCB). ECs of the BBB form very tight junctions that restrict paracellular access to the brain. In contrast, open junctions of the LCB ensure uptake of extravasated fluid, macromolecules and immune cells, as well as lipid in the gut. We have identified novel effectors of BBB and LCB junctions and will determine their role in adult homeostasis and in disease models. Mouse genetic gain and loss of function approaches in combination with histological, ultrastructural, functional and molecular analysis will determine mechanisms underlying formation of tissue specific EC barriers. Deliverables include in vivo validated targets that could be used for i) opening the BBB on demand for drug delivery into the brain, and ii) to lower plasma lipid uptake via interfering with the LCB, with implications for prevention of obesity, cardiovascular disease and inflammation. These pioneering studies promise to open up new opportunities for research and treatment of neurovascular and cardiovascular disease.
Max ERC Funding
2 499 969 €
Duration
Start date: 2019-07-01, End date: 2024-06-30
Project acronym ChloroMito
Project Chloroplast and Mitochondria interactions for microalgal acclimation
Researcher (PI) Giovanni Finazzi
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Advanced Grant (AdG), LS8, ERC-2018-ADG
Summary Photosynthesis emerged as an energy-harvesting process at least 3.5 billion years ago, first in anoxygenic bacteria and then in oxygen-producing organisms, which led to the evolution of complex life forms with oxygen-based metabolisms (e.g. humans). Oxygenic photosynthesis produces ATP and NADPH, and the correct balance between these energy-rich molecules allows assimilation of CO2 into organic matter. Although the mechanisms of ATP/NADPH synthesis are well understood, less is known about how CO2 assimilation was optimised. This process was essential to the successful phototrophic colonisation of land (by Plantae) and the oceans (by phytoplankton). Plants optimised CO2 assimilation using chloroplast-localised ATP-generating processes to control the ATP/NADPH ratio, but the strategies developed by phytoplankton are poorly understood. However, diatoms—ecologically successful ocean organisms—are known to control this ratio by exchanging energy between plastids and mitochondria. Is this mechanism a paradigm for optimisation of photosynthesis in the ocean? The ChloroMito project aims to first decipher the mechanism(s) behind plastid-mitochondria interactions. Thanks to a novel combination of whole-cell approaches, including (opto)genetics, cellular tomography and single-cell spectroscopy, we will identify the nature of the exchanges occurring in diatoms and assess their contribution to dynamic responses to environmental stimuli (light, temperature, nutrients). We will then assess conservation of this mechanism in ecologically relevant phytoplankton taxa, test its role in supporting different lifestyles (autotrophy, mixotrophy, photosymbiosis) encountered in the ocean, and track transitions between these different lifestyles as part of an unprecedented effort to visualise ocean dynamics. Overall, the ChloroMito project will alter our understanding of ocean photosynthesis, challenging textbook concepts which are often inferred from plant-based concepts
Summary
Photosynthesis emerged as an energy-harvesting process at least 3.5 billion years ago, first in anoxygenic bacteria and then in oxygen-producing organisms, which led to the evolution of complex life forms with oxygen-based metabolisms (e.g. humans). Oxygenic photosynthesis produces ATP and NADPH, and the correct balance between these energy-rich molecules allows assimilation of CO2 into organic matter. Although the mechanisms of ATP/NADPH synthesis are well understood, less is known about how CO2 assimilation was optimised. This process was essential to the successful phototrophic colonisation of land (by Plantae) and the oceans (by phytoplankton). Plants optimised CO2 assimilation using chloroplast-localised ATP-generating processes to control the ATP/NADPH ratio, but the strategies developed by phytoplankton are poorly understood. However, diatoms—ecologically successful ocean organisms—are known to control this ratio by exchanging energy between plastids and mitochondria. Is this mechanism a paradigm for optimisation of photosynthesis in the ocean? The ChloroMito project aims to first decipher the mechanism(s) behind plastid-mitochondria interactions. Thanks to a novel combination of whole-cell approaches, including (opto)genetics, cellular tomography and single-cell spectroscopy, we will identify the nature of the exchanges occurring in diatoms and assess their contribution to dynamic responses to environmental stimuli (light, temperature, nutrients). We will then assess conservation of this mechanism in ecologically relevant phytoplankton taxa, test its role in supporting different lifestyles (autotrophy, mixotrophy, photosymbiosis) encountered in the ocean, and track transitions between these different lifestyles as part of an unprecedented effort to visualise ocean dynamics. Overall, the ChloroMito project will alter our understanding of ocean photosynthesis, challenging textbook concepts which are often inferred from plant-based concepts
Max ERC Funding
2 498 207 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym DIATOMIC
Project Untangling eco-evolutionary impacts on diatom genomes over timescales relevant to current climate change
Researcher (PI) Christopher Paul BOWLER
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Advanced Grant (AdG), LS8, ERC-2018-ADG
Summary Diatoms are major contributors of primary production in the ocean and participate in carbon sequestration over geologically relevant timescales. As key components of the Earth’s carbon cycle and marine food webs we need to understand the eco-evolutionary underpinnings of their ecological success to forecast their fate in a future ocean impacted by anthropogenic change. Genomes and epigenomes from model diatoms, as well as hundreds of transcriptomes from multiple species, have revealed genetic and epigenetic processes regulating gene expression in response to changing environments. The Tara Oceans survey has in parallel generated resources to explore diatom abundance, diversity and gene expression in the world’s ocean in widely contrasting conditions. DIATOMIC will build on these resources to understand how evolutionary and ecological processes combine to influence diatom adaptations to their environment at unprecedented spatiotemporal scales. To examine these processes over timescales relevant to current climate change, DIATOMIC includes the pioneering exploration of ancient diatom DNA from the sub-seafloor to reveal the genetic and epigenetic bases of speciation and adaptation that have impacted their ecological success during the last 100,000 years, when Earth experienced major climatological events and an increase in anthropogenic impacts. As a model for exploring eco-evolutionary processes in the past and contemporary ocean we will focus primarily on Chaetoceros because this diatom genus is ancient, ubiquitous, abundant and contributes significantly to carbon export. Key findings will be additionally supported by lab-based studies using the diatom Phaeodactylum for which exemplar molecular tools exist. Specifically, the project will address:
1. What molecular features characterize genome evolution in diatoms?
2. Which processes determine diatom metapopulation structure?
3. What can ancient DNA tell us about diatom adaptations to environmental change in the past?
Summary
Diatoms are major contributors of primary production in the ocean and participate in carbon sequestration over geologically relevant timescales. As key components of the Earth’s carbon cycle and marine food webs we need to understand the eco-evolutionary underpinnings of their ecological success to forecast their fate in a future ocean impacted by anthropogenic change. Genomes and epigenomes from model diatoms, as well as hundreds of transcriptomes from multiple species, have revealed genetic and epigenetic processes regulating gene expression in response to changing environments. The Tara Oceans survey has in parallel generated resources to explore diatom abundance, diversity and gene expression in the world’s ocean in widely contrasting conditions. DIATOMIC will build on these resources to understand how evolutionary and ecological processes combine to influence diatom adaptations to their environment at unprecedented spatiotemporal scales. To examine these processes over timescales relevant to current climate change, DIATOMIC includes the pioneering exploration of ancient diatom DNA from the sub-seafloor to reveal the genetic and epigenetic bases of speciation and adaptation that have impacted their ecological success during the last 100,000 years, when Earth experienced major climatological events and an increase in anthropogenic impacts. As a model for exploring eco-evolutionary processes in the past and contemporary ocean we will focus primarily on Chaetoceros because this diatom genus is ancient, ubiquitous, abundant and contributes significantly to carbon export. Key findings will be additionally supported by lab-based studies using the diatom Phaeodactylum for which exemplar molecular tools exist. Specifically, the project will address:
1. What molecular features characterize genome evolution in diatoms?
2. Which processes determine diatom metapopulation structure?
3. What can ancient DNA tell us about diatom adaptations to environmental change in the past?
Max ERC Funding
2 495 753 €
Duration
Start date: 2019-11-01, End date: 2024-10-31
Project acronym EMERGE
Project Reconstructing the emergence of the Milky Way’s stellar population with Gaia, SDSS-V and JWST
Researcher (PI) Dan Maoz
Host Institution (HI) TEL AVIV UNIVERSITY
Country Israel
Call Details Advanced Grant (AdG), PE9, ERC-2018-ADG
Summary Understanding how the Milky Way arrived at its present state requires a large volume of precision measurements of our Galaxy’s current makeup, as well as an empirically based understanding of the main processes involved in the Galaxy’s evolution. Such data are now about to arrive in the flood of quality information from Gaia and SDSS-V. The demography of the stars and of the compact stellar remnants in our Galaxy, in terms of phase-space location, mass, age, metallicity, and multiplicity are data products that will come directly from these surveys. I propose to integrate this information into a comprehensive picture of the Milky Way’s present state. In parallel, I will build a Galactic chemical evolution model, with input parameters that are as empirically based as possible, that will reproduce and explain the observations. To get those input parameters, I will measure the rates of supernovae (SNe) in nearby galaxies (using data from past and ongoing surveys) and in high-redshift proto-clusters (by conducting a SN search with JWST), to bring into sharp focus the element yields of SNe and the distribution of delay times (the DTD) between star formation and SN explosion. These empirically determined SN metal-production parameters will be used to find the observationally based reconstruction of the Galaxy’s stellar formation history and chemical evolution that reproduces the observed present-day Milky Way stellar population. The population census of stellar multiplicity with Gaia+SDSS-V, and particularly of short-orbit compact-object binaries, will hark back to the rates and the element yields of the various types of SNe, revealing the connections between various progenitor systems, their explosions, and their rates. The plan, while ambitious, is feasible, thanks to the data from these truly game-changing observational projects. My team will perform all steps of the analysis and will combine the results to obtain the clearest picture of how our Galaxy came to be.
Summary
Understanding how the Milky Way arrived at its present state requires a large volume of precision measurements of our Galaxy’s current makeup, as well as an empirically based understanding of the main processes involved in the Galaxy’s evolution. Such data are now about to arrive in the flood of quality information from Gaia and SDSS-V. The demography of the stars and of the compact stellar remnants in our Galaxy, in terms of phase-space location, mass, age, metallicity, and multiplicity are data products that will come directly from these surveys. I propose to integrate this information into a comprehensive picture of the Milky Way’s present state. In parallel, I will build a Galactic chemical evolution model, with input parameters that are as empirically based as possible, that will reproduce and explain the observations. To get those input parameters, I will measure the rates of supernovae (SNe) in nearby galaxies (using data from past and ongoing surveys) and in high-redshift proto-clusters (by conducting a SN search with JWST), to bring into sharp focus the element yields of SNe and the distribution of delay times (the DTD) between star formation and SN explosion. These empirically determined SN metal-production parameters will be used to find the observationally based reconstruction of the Galaxy’s stellar formation history and chemical evolution that reproduces the observed present-day Milky Way stellar population. The population census of stellar multiplicity with Gaia+SDSS-V, and particularly of short-orbit compact-object binaries, will hark back to the rates and the element yields of the various types of SNe, revealing the connections between various progenitor systems, their explosions, and their rates. The plan, while ambitious, is feasible, thanks to the data from these truly game-changing observational projects. My team will perform all steps of the analysis and will combine the results to obtain the clearest picture of how our Galaxy came to be.
Max ERC Funding
1 859 375 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym IMMUNOTHROMBOSIS
Project Cross-talk between platelets and immunity - implications for host homeostasis and defense
Researcher (PI) Steffen MASSBERG
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Country Germany
Call Details Advanced Grant (AdG), LS4, ERC-2018-ADG
Summary The overall aim of the IMMUNOTHROMBOSIS project is to clarify the mechanisms underlying the recently identified synergism between thrombosis and inflammation. Thrombus formation and inflammation are vital host responses that ensure homeostasis, but can also drive cardiovascular disease, including myocardial infarction and stroke, the major causes of death in Europe. My group and others discovered, that thrombosis and inflammation are not to be considered separate processes. They are tightly interrelated and synergize in immune defence, but also in inflammatory and thrombotic diseases in a process we termed immunothrombosis. Targeting this synergism has great potential to identify innovative and unconventional strategies to more specifically prevent undesired activation of thrombotic and inflammatory pathways. However, this requires a deeper mechanistic understanding of immunothrombosis. I recently identified two ground-breaking novel immunothrombotic principles: I discovered that platelets have the ability to migrate autonomously, which assists immune cells in fighting pathogens. Further, I revealed that immune cells play a central role in controlling the production of platelets from their megakaryocyte precursors. The physiological and pathophysiological relevance of both processes is unclear. This is the starting point and focus of the IMMUNOTHROMBOSIS project. My aim is to define how platelets use their ability to migrate to support immune cells in protection of vascular integrity (objective 1) and to identify the contribution of platelet migration to different cardiovascular diseases involving immunothrombotic tissue damage (objective 2). Finally, I will clarify how inflammatory responses feedback to the production of thrombotic effectors and dissect inflammatory mechanisms that control platelet production (objective 3). IMMUNOTHROMBOSIS will identify new options for specific prevention or treatment of thrombotic and inflammatory cardiovascular diseases.
Summary
The overall aim of the IMMUNOTHROMBOSIS project is to clarify the mechanisms underlying the recently identified synergism between thrombosis and inflammation. Thrombus formation and inflammation are vital host responses that ensure homeostasis, but can also drive cardiovascular disease, including myocardial infarction and stroke, the major causes of death in Europe. My group and others discovered, that thrombosis and inflammation are not to be considered separate processes. They are tightly interrelated and synergize in immune defence, but also in inflammatory and thrombotic diseases in a process we termed immunothrombosis. Targeting this synergism has great potential to identify innovative and unconventional strategies to more specifically prevent undesired activation of thrombotic and inflammatory pathways. However, this requires a deeper mechanistic understanding of immunothrombosis. I recently identified two ground-breaking novel immunothrombotic principles: I discovered that platelets have the ability to migrate autonomously, which assists immune cells in fighting pathogens. Further, I revealed that immune cells play a central role in controlling the production of platelets from their megakaryocyte precursors. The physiological and pathophysiological relevance of both processes is unclear. This is the starting point and focus of the IMMUNOTHROMBOSIS project. My aim is to define how platelets use their ability to migrate to support immune cells in protection of vascular integrity (objective 1) and to identify the contribution of platelet migration to different cardiovascular diseases involving immunothrombotic tissue damage (objective 2). Finally, I will clarify how inflammatory responses feedback to the production of thrombotic effectors and dissect inflammatory mechanisms that control platelet production (objective 3). IMMUNOTHROMBOSIS will identify new options for specific prevention or treatment of thrombotic and inflammatory cardiovascular diseases.
Max ERC Funding
2 321 416 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym Mars through time
Project Modeling the past climates of planet Mars to understand its geology, its habitability and its evolution
Researcher (PI) Francois FORGET
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Advanced Grant (AdG), PE9, ERC-2018-ADG
Summary Over the past decades, the robotic exploration of the planet Mars has produced a wealth of geological observations. They show that Mars has not always been the desert planet of today. It has seen eras conducive to rivers and lakes, ice ages, and even periods with a collapsed atmosphere. These different epochs are the reason why Mars remains the objective of space agencies, as they evoke the possibility of past habitability and spectacular climate changes.
Yet, in spite of all the data, the climatic processes that have shaped Mars’ surface through time remain largely unknown. What happened on Mars? Was the Red Planet suitable for life? What explains its evolution?
The objective of this project is to develop numerical models to simulate the past environments of Mars.A completely new “Mars Evolution Model” will be created by asynchronously coupling hydrology, glacial flows and ground ice models with a new generation 3D Global Climate Model (GCM). This GCM will be derived from the one that we have previously designed to simulate present day Mars. We will radically update it using new technologies to represent the details of the surface as well as all the processes that affected Mars when its environment evolved because of the oscillations of its orbit and obliquity, during changes in the atmospheric composition, or through events like meteoritic impacts or volcanic eruptions. Notably, we will highlight the last ten millions years that have been recorded in the polar layered deposits, whose formation will be simulated for the first time realistically.
These new tools will address numerous enigmas found in Mars sciences. They will also offer a new platform to study specific processes such as the atmospheric escape through time or the chemical alteration of the soil. Furthermore, the project will test our capacity to model planetary environments and climate changes, as well as provide lessons on the evolution of terrestrial planets and the possibility of life elsewhere.
Summary
Over the past decades, the robotic exploration of the planet Mars has produced a wealth of geological observations. They show that Mars has not always been the desert planet of today. It has seen eras conducive to rivers and lakes, ice ages, and even periods with a collapsed atmosphere. These different epochs are the reason why Mars remains the objective of space agencies, as they evoke the possibility of past habitability and spectacular climate changes.
Yet, in spite of all the data, the climatic processes that have shaped Mars’ surface through time remain largely unknown. What happened on Mars? Was the Red Planet suitable for life? What explains its evolution?
The objective of this project is to develop numerical models to simulate the past environments of Mars.A completely new “Mars Evolution Model” will be created by asynchronously coupling hydrology, glacial flows and ground ice models with a new generation 3D Global Climate Model (GCM). This GCM will be derived from the one that we have previously designed to simulate present day Mars. We will radically update it using new technologies to represent the details of the surface as well as all the processes that affected Mars when its environment evolved because of the oscillations of its orbit and obliquity, during changes in the atmospheric composition, or through events like meteoritic impacts or volcanic eruptions. Notably, we will highlight the last ten millions years that have been recorded in the polar layered deposits, whose formation will be simulated for the first time realistically.
These new tools will address numerous enigmas found in Mars sciences. They will also offer a new platform to study specific processes such as the atmospheric escape through time or the chemical alteration of the soil. Furthermore, the project will test our capacity to model planetary environments and climate changes, as well as provide lessons on the evolution of terrestrial planets and the possibility of life elsewhere.
Max ERC Funding
2 493 836 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym NoMaMemo
Project Non-Markovian Memory-Based Modelling of Near- and Far-From-Equilibrium Dynamical Systems
Researcher (PI) Roland NETZ
Host Institution (HI) FREIE UNIVERSITAET BERLIN
Country Germany
Call Details Advanced Grant (AdG), PE3, ERC-2018-ADG
Summary Time series characterize diverse systems, examples in this proposal are: i) Proton motion in an inhomogeneous aqueous environment, ii) folding and unfolding of a peptide described by a suitably chosen reaction coordinate, iii) migration of a living cell on a substrate, iv) US Dollar / Yen exchange rate. Examples i) and ii) are close-to-equilibrium, iii) is a far from equilibrium since energy is constantly dissipated, while example iv) at first sight defies the classification into equilibrium or non-equilibrium.
For the understanding, comparison, classification and forecasting of time series data, stochastic differential equations, diverse random walk models, and more recently, machine-learning algorithms are commonly used. But fundamental questions remain unanswered: Is a unified description of such diverse systems possible? What is the relation between different proposed models? Can the non-equilibrium degree of a time series be estimated?
NoMaMemo provides a unified description of generic time series data in terms of non-linear integro-differential stochastic equations based on memory functions that are extracted from data. NoMaMemo accounts for non-linear and non-equilibrium effects as well as for non-Gaussian noise and connects with fundamental concepts such as equilibrium statistical mechanics, response theory and entropy production. The general formulation contains previously proposed models and thus allows their comparison, forecasting quality will be compared with modern machine-learning algorithms. NoMaMemo creates a generic platform to analyse, understand, compare, classify and predict time series data and to optimize stochastic systems with respect to search efficiency, barrier-crossing speed or other figures of merit. NoMaMemo will significantly advance the understanding of chemical reaction and protein folding kinetics, the interpretation of THz and IR spectroscopy of liquids and the analysis of living matter and socio-economic data.
Summary
Time series characterize diverse systems, examples in this proposal are: i) Proton motion in an inhomogeneous aqueous environment, ii) folding and unfolding of a peptide described by a suitably chosen reaction coordinate, iii) migration of a living cell on a substrate, iv) US Dollar / Yen exchange rate. Examples i) and ii) are close-to-equilibrium, iii) is a far from equilibrium since energy is constantly dissipated, while example iv) at first sight defies the classification into equilibrium or non-equilibrium.
For the understanding, comparison, classification and forecasting of time series data, stochastic differential equations, diverse random walk models, and more recently, machine-learning algorithms are commonly used. But fundamental questions remain unanswered: Is a unified description of such diverse systems possible? What is the relation between different proposed models? Can the non-equilibrium degree of a time series be estimated?
NoMaMemo provides a unified description of generic time series data in terms of non-linear integro-differential stochastic equations based on memory functions that are extracted from data. NoMaMemo accounts for non-linear and non-equilibrium effects as well as for non-Gaussian noise and connects with fundamental concepts such as equilibrium statistical mechanics, response theory and entropy production. The general formulation contains previously proposed models and thus allows their comparison, forecasting quality will be compared with modern machine-learning algorithms. NoMaMemo creates a generic platform to analyse, understand, compare, classify and predict time series data and to optimize stochastic systems with respect to search efficiency, barrier-crossing speed or other figures of merit. NoMaMemo will significantly advance the understanding of chemical reaction and protein folding kinetics, the interpretation of THz and IR spectroscopy of liquids and the analysis of living matter and socio-economic data.
Max ERC Funding
1 983 744 €
Duration
Start date: 2019-12-01, End date: 2024-11-30
Project acronym NUAGE
Project Nucleolar regulation of longevity
Researcher (PI) Adam Antebi
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Country Germany
Call Details Advanced Grant (AdG), LS4, ERC-2018-ADG
Summary Research over the last few decades has revealed that animal life span is malleable and regulated by conserved metabolic signaling pathways, including reduced insulin/IGF signaling, mTOR, mitochondrial function, dietary restriction, and signals from the reproductive system. Whether these various pathways converge on common processes, however, has remained elusive.
We recently discovered the nucleolus to be a crucial focal point of regulation in all these pathways. The nucleolus is a subnuclear organelle dedicated to rRNA production and ribogenesis, but also controls assembly of other ribonucleoprotein complexes including spliceosomes, signal recognition particle, small RNA processing, stress granules, and responds to growth and stress signaling. Remarkably we found that small nucleoli are a cellular hallmark of longevity in diverse species, and a correlate of metabolic health in humans. At the molecular level, long-lived animals show reduced levels of the nucleolar ribosomal RNA methylase, fibrillarin (FIB-1), and knockdown of C. elegans FIB-1 reduces nucleolar size, extends life span, and enhances innate immunity. Conversely, knockout of NCL-1/TRIM2 expands nucleolar size, suppresses life extension of major longevity pathways, and renders animals pathogen sensitive, revealing key regulators of nucleolargenesis, immunity and longevity.
Here I propose to (Aim 1) clarify the mechanism of action of NCL-1, FIB-1 and interacting molecules (2) perform novel genetic screens for nucleolargenesis in C. elegans (3) uncover global transcriptomic and proteomic changes induced by NCL-1 and FIB-1 and survey several candidate nucleolar processes in regulating longevity and immunity (4) probe NCL-1/TRIM2 regulation of longevity in the short-lived killifish, Notobranchius furzeri, and develop nucleolar biomarkers of metabolic health in humans. These groundbreaking studies should illuminate how conserved signaling pathways work through the nucleolus to regulate health and life span.
Summary
Research over the last few decades has revealed that animal life span is malleable and regulated by conserved metabolic signaling pathways, including reduced insulin/IGF signaling, mTOR, mitochondrial function, dietary restriction, and signals from the reproductive system. Whether these various pathways converge on common processes, however, has remained elusive.
We recently discovered the nucleolus to be a crucial focal point of regulation in all these pathways. The nucleolus is a subnuclear organelle dedicated to rRNA production and ribogenesis, but also controls assembly of other ribonucleoprotein complexes including spliceosomes, signal recognition particle, small RNA processing, stress granules, and responds to growth and stress signaling. Remarkably we found that small nucleoli are a cellular hallmark of longevity in diverse species, and a correlate of metabolic health in humans. At the molecular level, long-lived animals show reduced levels of the nucleolar ribosomal RNA methylase, fibrillarin (FIB-1), and knockdown of C. elegans FIB-1 reduces nucleolar size, extends life span, and enhances innate immunity. Conversely, knockout of NCL-1/TRIM2 expands nucleolar size, suppresses life extension of major longevity pathways, and renders animals pathogen sensitive, revealing key regulators of nucleolargenesis, immunity and longevity.
Here I propose to (Aim 1) clarify the mechanism of action of NCL-1, FIB-1 and interacting molecules (2) perform novel genetic screens for nucleolargenesis in C. elegans (3) uncover global transcriptomic and proteomic changes induced by NCL-1 and FIB-1 and survey several candidate nucleolar processes in regulating longevity and immunity (4) probe NCL-1/TRIM2 regulation of longevity in the short-lived killifish, Notobranchius furzeri, and develop nucleolar biomarkers of metabolic health in humans. These groundbreaking studies should illuminate how conserved signaling pathways work through the nucleolus to regulate health and life span.
Max ERC Funding
2 500 000 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym Origins
Project From Planet-Forming Disks to Giant Planets
Researcher (PI) Thomas HENNING
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Country Germany
Call Details Advanced Grant (AdG), PE9, ERC-2018-ADG
Summary Planet-forming disks around young stars display a large variety of spatial structures indicating pattern formation by gas-dust dynamics and planet-disk interactions. The diversity of planetary properties point to different physical and chemical conditions in their parental disks and a range of formation pathways. Currently, there is no unifying approach which connects disk physics and chemistry with exoplanet properties. The development of such a link remains a considerable challenge as long as fundamental disk properties are uncertain. The objective of this project is to close the gap between the conditions in planet-forming disks and the properties of giant planets and their atmospheres.
We will constrain fundamental disk properties - mass, turbulent state, and molecular content - by dedicated infrared and (sub)millimetre observations combined with comprehensive modeling efforts and experimental studies of ice-grain surface chemistry. The second very demanding project goal is to discover young giant planets in their birth environments and to characterize their properties, applying innovative techniques to analyze the results of approved imaging surveys with AO instruments at the VLT/LBT. These data will be supplemented by ALMA observations tracing gas kinematic signatures induced by embedded planets. The results of these studies will lead to major progress in understanding the timescale for planet formation and will reveal the nature of planet-disk interactions. The most challenging objective of the project is to build a connection between disk properties and the atmospheres of giant planets. Planet formation and evolution models will be coupled with a description of the chemical and accretion history to predict planetary elemental abundances, setting the scene for the thermal and chemical structure of giant planet atmospheres. Synthetic spectra will be provided using state-of-the art atmospheric codes and will be compared to observed planet spectra.
Summary
Planet-forming disks around young stars display a large variety of spatial structures indicating pattern formation by gas-dust dynamics and planet-disk interactions. The diversity of planetary properties point to different physical and chemical conditions in their parental disks and a range of formation pathways. Currently, there is no unifying approach which connects disk physics and chemistry with exoplanet properties. The development of such a link remains a considerable challenge as long as fundamental disk properties are uncertain. The objective of this project is to close the gap between the conditions in planet-forming disks and the properties of giant planets and their atmospheres.
We will constrain fundamental disk properties - mass, turbulent state, and molecular content - by dedicated infrared and (sub)millimetre observations combined with comprehensive modeling efforts and experimental studies of ice-grain surface chemistry. The second very demanding project goal is to discover young giant planets in their birth environments and to characterize their properties, applying innovative techniques to analyze the results of approved imaging surveys with AO instruments at the VLT/LBT. These data will be supplemented by ALMA observations tracing gas kinematic signatures induced by embedded planets. The results of these studies will lead to major progress in understanding the timescale for planet formation and will reveal the nature of planet-disk interactions. The most challenging objective of the project is to build a connection between disk properties and the atmospheres of giant planets. Planet formation and evolution models will be coupled with a description of the chemical and accretion history to predict planetary elemental abundances, setting the scene for the thermal and chemical structure of giant planet atmospheres. Synthetic spectra will be provided using state-of-the art atmospheric codes and will be compared to observed planet spectra.
Max ERC Funding
2 474 252 €
Duration
Start date: 2019-10-01, End date: 2024-09-30