Project acronym AROMA-CFD
Project Advanced Reduced Order Methods with Applications in Computational Fluid Dynamics
Researcher (PI) Gianluigi Rozza
Host Institution (HI) SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
Call Details Consolidator Grant (CoG), PE1, ERC-2015-CoG
Summary The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
Summary
The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
Max ERC Funding
1 656 579 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym CAVE
Project Challenges and Advancements in Virtual Elements
Researcher (PI) Lourenco Beirao da veiga
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Call Details Consolidator Grant (CoG), PE1, ERC-2015-CoG
Summary The Virtual Element Method (VEM) is a novel technology for the discretization of partial differential equations (PDEs), that shares the same variational background as the Finite Element Method. First but not only, the VEM responds to the strongly increasing interest in using general polyhedral and polygonal meshes in the approximation of PDEs without the limit of using tetrahedral or hexahedral grids. By avoiding the explicit integration of the shape functions that span the discrete space and introducing an innovative construction of the stiffness matrixes, the VEM acquires very interesting properties and advantages with respect to more standard Galerkin methods, yet still keeping the same coding complexity. For instance, the VEM easily allows for polygonal/polyhedral meshes (even non-conforming) with non-convex elements and possibly with curved faces; it allows for discrete spaces of arbitrary C^k regularity on unstructured meshes.
The main scope of the project is to address the recent theoretical challenges posed by VEM and to assess whether this promising technology can achieve a breakthrough in applications. First, the theoretical and computational foundations of VEM will be made stronger. A deeper theoretical insight, supported by a wider numerical experience on benchmark problems, will be developed to gain a better understanding of the method's potentials and set the foundations for more applicative purposes. Second, we will focus our attention on two tough and up-to-date problems of practical interest: large deformation elasticity (where VEM can yield a dramatically more efficient handling of material inclusions, meshing of the domain and grid adaptivity, plus a much stronger robustness with respect to large grid distortions) and the cardiac bidomain model (where VEM can lead to a more accurate domain approximation through MRI data, a flexible refinement/de-refinement procedure along the propagation front, to an exact satisfaction of conservation laws).
Summary
The Virtual Element Method (VEM) is a novel technology for the discretization of partial differential equations (PDEs), that shares the same variational background as the Finite Element Method. First but not only, the VEM responds to the strongly increasing interest in using general polyhedral and polygonal meshes in the approximation of PDEs without the limit of using tetrahedral or hexahedral grids. By avoiding the explicit integration of the shape functions that span the discrete space and introducing an innovative construction of the stiffness matrixes, the VEM acquires very interesting properties and advantages with respect to more standard Galerkin methods, yet still keeping the same coding complexity. For instance, the VEM easily allows for polygonal/polyhedral meshes (even non-conforming) with non-convex elements and possibly with curved faces; it allows for discrete spaces of arbitrary C^k regularity on unstructured meshes.
The main scope of the project is to address the recent theoretical challenges posed by VEM and to assess whether this promising technology can achieve a breakthrough in applications. First, the theoretical and computational foundations of VEM will be made stronger. A deeper theoretical insight, supported by a wider numerical experience on benchmark problems, will be developed to gain a better understanding of the method's potentials and set the foundations for more applicative purposes. Second, we will focus our attention on two tough and up-to-date problems of practical interest: large deformation elasticity (where VEM can yield a dramatically more efficient handling of material inclusions, meshing of the domain and grid adaptivity, plus a much stronger robustness with respect to large grid distortions) and the cardiac bidomain model (where VEM can lead to a more accurate domain approximation through MRI data, a flexible refinement/de-refinement procedure along the propagation front, to an exact satisfaction of conservation laws).
Max ERC Funding
980 634 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym CELLFITNESS
Project Active Mechanisms of Cell Selection: From Cell Competition to Cell Fitness
Researcher (PI) Eduardo Moreno Lampaya
Host Institution (HI) FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Call Details Consolidator Grant (CoG), LS3, ERC-2013-CoG
Summary The molecular mechanisms that mediate cell competition, cell fitness and cell selection is gaining interest. With innovative approaches, molecules and ground-breaking hypothesis, this field of research can help understand several biological processes such as development, cancer and tissue degeneration. The project has 3 clear and ambitious objectives: 1. We propose to identify all the key genes mediating cell competition and their molecular mechanisms. In order to reach this objective we will use data from two whole genome screens in Drosophila where we have identified 7 key genes. By the end of this CoG grant, we should have no big gaps in our knowledge of how slow dividing cells are recognised and eliminated in Drosophila. 2. In addition, we will explore how general the cell competition pathways are and how they can impact biomedical research, with a focus in cancer and tissue degeneration. The interest in cancer is based on experiments in Drosophila and mice where we and others have found that an active process of cell selection determines tumour growth. Preliminary results suggest that the pathways identified do not only play important roles in the elimination of slow dividing cells, but also during cancer initiation and progression. 3. We will further explore the role of cell competition in neuronal selection, specially during neurodegeneration, development of the retina and adult brain regeneration in Drosophila. This proposal is of an interdisciplinary nature because it takes a basic cellular mechanism (the genetic pathways that select cells within tissues) and crosses boundaries between different fields of research: development, cancer, regeneration and tissue degeneration. In this ERC CoG proposal, we are committed to continue our efforts from basic science to biomedical approaches. The phenomena of cell competition and its participating genes have the potential to discover novel biomarkers and therapeutic strategies against cancer and tissue degeneration.
Summary
The molecular mechanisms that mediate cell competition, cell fitness and cell selection is gaining interest. With innovative approaches, molecules and ground-breaking hypothesis, this field of research can help understand several biological processes such as development, cancer and tissue degeneration. The project has 3 clear and ambitious objectives: 1. We propose to identify all the key genes mediating cell competition and their molecular mechanisms. In order to reach this objective we will use data from two whole genome screens in Drosophila where we have identified 7 key genes. By the end of this CoG grant, we should have no big gaps in our knowledge of how slow dividing cells are recognised and eliminated in Drosophila. 2. In addition, we will explore how general the cell competition pathways are and how they can impact biomedical research, with a focus in cancer and tissue degeneration. The interest in cancer is based on experiments in Drosophila and mice where we and others have found that an active process of cell selection determines tumour growth. Preliminary results suggest that the pathways identified do not only play important roles in the elimination of slow dividing cells, but also during cancer initiation and progression. 3. We will further explore the role of cell competition in neuronal selection, specially during neurodegeneration, development of the retina and adult brain regeneration in Drosophila. This proposal is of an interdisciplinary nature because it takes a basic cellular mechanism (the genetic pathways that select cells within tissues) and crosses boundaries between different fields of research: development, cancer, regeneration and tissue degeneration. In this ERC CoG proposal, we are committed to continue our efforts from basic science to biomedical approaches. The phenomena of cell competition and its participating genes have the potential to discover novel biomarkers and therapeutic strategies against cancer and tissue degeneration.
Max ERC Funding
1 968 062 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym CELLFUSION
Project Molecular dissection of the mechanisms of cell-cell fusion in the fission yeast
Researcher (PI) Sophie Geneviève Elisabeth Martin Benton
Host Institution (HI) UNIVERSITE DE LAUSANNE
Call Details Consolidator Grant (CoG), LS3, ERC-2015-CoG
Summary Cell fusion is critical for fertilization and development, for instance underlying muscle or bone formation. Cell fusion may also play important roles in regeneration and cancer. A conceptual understanding is emerging that cell fusion requires cell-cell communication, polarization of the cells towards each other, and assembly of a fusion machinery, in which an actin-based structure promotes membrane juxtaposition and fusogenic factors drive membrane fusion. However, in no single system have the molecular nature of all these parts been described, and thus the molecular basis of cell fusion remains poorly understood.
This proposal aims to depict the complete fusion process in a single organism, using the simple yeast model Schizosaccharomyces pombe, which has a long track record of discoveries in fundamental cellular processes. These haploid cells, which fuse to generate a diploid zygote, use highly conserved mechanisms of cell-cell communication (through pheromones and GPCR signaling), cell polarization (centred around the small GTPase Cdc42) and fusion. Indeed, we recently showed that these cells assemble an actin-based fusion structure, dubbed the actin fusion focus. Our five aims probe the molecular nature of, and the links between, signaling, polarization and the fusion machinery from initiation to termination of the process. These are:
1: To define the roles and feedback regulation of Cdc42 during cell fusion
2: To understand the molecular mechanisms of actin fusion focus formation
3: To identify the fusogen(s) promoting membrane fusion
4: To probe the GPCR signal for fusion initiation
5: To define the mechanism of fusion termination
By combining genetic, optogenetic, biochemical, live-imaging, synthetic and modeling approaches, this project will bring a molecular and conceptual understanding of cell fusion. This work will have far-ranging relevance for cell polarization, cytoskeletal organization, cell signalling and communication, and cell fate regulation.
Summary
Cell fusion is critical for fertilization and development, for instance underlying muscle or bone formation. Cell fusion may also play important roles in regeneration and cancer. A conceptual understanding is emerging that cell fusion requires cell-cell communication, polarization of the cells towards each other, and assembly of a fusion machinery, in which an actin-based structure promotes membrane juxtaposition and fusogenic factors drive membrane fusion. However, in no single system have the molecular nature of all these parts been described, and thus the molecular basis of cell fusion remains poorly understood.
This proposal aims to depict the complete fusion process in a single organism, using the simple yeast model Schizosaccharomyces pombe, which has a long track record of discoveries in fundamental cellular processes. These haploid cells, which fuse to generate a diploid zygote, use highly conserved mechanisms of cell-cell communication (through pheromones and GPCR signaling), cell polarization (centred around the small GTPase Cdc42) and fusion. Indeed, we recently showed that these cells assemble an actin-based fusion structure, dubbed the actin fusion focus. Our five aims probe the molecular nature of, and the links between, signaling, polarization and the fusion machinery from initiation to termination of the process. These are:
1: To define the roles and feedback regulation of Cdc42 during cell fusion
2: To understand the molecular mechanisms of actin fusion focus formation
3: To identify the fusogen(s) promoting membrane fusion
4: To probe the GPCR signal for fusion initiation
5: To define the mechanism of fusion termination
By combining genetic, optogenetic, biochemical, live-imaging, synthetic and modeling approaches, this project will bring a molecular and conceptual understanding of cell fusion. This work will have far-ranging relevance for cell polarization, cytoskeletal organization, cell signalling and communication, and cell fate regulation.
Max ERC Funding
1 999 956 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym CentrioleBirthDeath
Project Mechanism of centriole inheritance and maintenance
Researcher (PI) Monica BETTENCOURT CARVALHO DIAS
Host Institution (HI) FUNDACAO CALOUSTE GULBENKIAN
Call Details Consolidator Grant (CoG), LS3, ERC-2015-CoG
Summary Centrioles assemble centrosomes and cilia/flagella, critical structures for cell division, polarity, motility and signalling, which are often deregulated in human disease. Centriole inheritance, in particular the preservation of their copy number and position in the cell is critical in many eukaryotes. I propose to investigate, in an integrative and quantitative way, how centrioles are formed in the right numbers at the right time and place, and how they are maintained to ensure their function and inheritance. We first ask how centrioles guide their own assembly position and centriole copy number. Our recent work highlighted several properties of the system, including positive and negative feedbacks and spatial cues. We explore critical hypotheses through a combination of biochemistry, quantitative live cell microscopy and computational modelling. We then ask how the centrosome and the cell cycle are both coordinated. We recently identified the triggering event in centriole biogenesis and how its regulation is akin to cell cycle control of DNA replication and centromere assembly. We will explore new hypotheses to understand how assembly time is coupled to the cell cycle. Lastly, we ask how centriole maintenance is regulated. By studying centriole disappearance in the female germline we uncovered that centrioles need to be actively maintained by their surrounding matrix. We propose to investigate how that matrix provides stability to the centrioles, whether this is differently regulated in different cell types and the possible consequences of its misregulation for the organism (infertility and ciliopathy-like symptoms). We will take advantage of several experimental systems (in silico, ex-vivo, flies and human cells), tailoring the assay to the question and allowing for comparisons across experimental systems to provide a deeper understanding of the process and its regulation.
Summary
Centrioles assemble centrosomes and cilia/flagella, critical structures for cell division, polarity, motility and signalling, which are often deregulated in human disease. Centriole inheritance, in particular the preservation of their copy number and position in the cell is critical in many eukaryotes. I propose to investigate, in an integrative and quantitative way, how centrioles are formed in the right numbers at the right time and place, and how they are maintained to ensure their function and inheritance. We first ask how centrioles guide their own assembly position and centriole copy number. Our recent work highlighted several properties of the system, including positive and negative feedbacks and spatial cues. We explore critical hypotheses through a combination of biochemistry, quantitative live cell microscopy and computational modelling. We then ask how the centrosome and the cell cycle are both coordinated. We recently identified the triggering event in centriole biogenesis and how its regulation is akin to cell cycle control of DNA replication and centromere assembly. We will explore new hypotheses to understand how assembly time is coupled to the cell cycle. Lastly, we ask how centriole maintenance is regulated. By studying centriole disappearance in the female germline we uncovered that centrioles need to be actively maintained by their surrounding matrix. We propose to investigate how that matrix provides stability to the centrioles, whether this is differently regulated in different cell types and the possible consequences of its misregulation for the organism (infertility and ciliopathy-like symptoms). We will take advantage of several experimental systems (in silico, ex-vivo, flies and human cells), tailoring the assay to the question and allowing for comparisons across experimental systems to provide a deeper understanding of the process and its regulation.
Max ERC Funding
2 000 000 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym CODECHECK
Project CRACKING THE CODE BEHIND MITOTIC FIDELITY: the roles of tubulin post-translational modifications and a chromosome separation checkpoint
Researcher (PI) Helder Jose Martins Maiato
Host Institution (HI) INSTITUTO DE BIOLOGIA MOLECULAR E CELULAR-IBMC
Call Details Consolidator Grant (CoG), LS3, ERC-2015-CoG
Summary During the human lifetime 10000 trillion cell divisions take place to ensure tissue homeostasis and several vital functions in the organism. Mitosis is the process that ensures that dividing cells preserve the chromosome number of their progenitors, while deviation from this, a condition known as aneuploidy, represents the most common feature in human cancers. Here we will test two original concepts with strong implications for chromosome segregation fidelity. The first concept is based on the “tubulin code” hypothesis, which predicts that molecular motors “read” tubulin post-translational modifications on spindle microtubules. Our proof-of-concept experiments demonstrate that tubulin detyrosination works as a navigation system that guides chromosomes towards the cell equator. Thus, in addition to regulating the motors required for chromosome motion, the cell might regulate the tracks in which they move on. We will combine proteomic, super-resolution and live-cell microscopy, with in vitro reconstitutions, to perform a comprehensive survey of the tubulin code and the respective implications for motors involved in chromosome motion, mitotic spindle assembly and correction of kinetochore-microtubule attachments. The second concept is centered on the recently uncovered chromosome separation checkpoint mediated by a midzone-associated Aurora B gradient, which delays nuclear envelope reformation in response to incompletely separated chromosomes. We aim to identify Aurora B targets involved in the spatiotemporal regulation of the anaphase-telophase transition. We will establish powerful live-cell microscopy assays and a novel mammalian model system to dissect how this checkpoint allows the detection and correction of lagging/long chromosomes and DNA bridges that would otherwise contribute to genomic instability. Overall, this work will establish a paradigm shift in our understanding of how spatial information is conveyed to faithfully segregate chromosomes during mitosis.
Summary
During the human lifetime 10000 trillion cell divisions take place to ensure tissue homeostasis and several vital functions in the organism. Mitosis is the process that ensures that dividing cells preserve the chromosome number of their progenitors, while deviation from this, a condition known as aneuploidy, represents the most common feature in human cancers. Here we will test two original concepts with strong implications for chromosome segregation fidelity. The first concept is based on the “tubulin code” hypothesis, which predicts that molecular motors “read” tubulin post-translational modifications on spindle microtubules. Our proof-of-concept experiments demonstrate that tubulin detyrosination works as a navigation system that guides chromosomes towards the cell equator. Thus, in addition to regulating the motors required for chromosome motion, the cell might regulate the tracks in which they move on. We will combine proteomic, super-resolution and live-cell microscopy, with in vitro reconstitutions, to perform a comprehensive survey of the tubulin code and the respective implications for motors involved in chromosome motion, mitotic spindle assembly and correction of kinetochore-microtubule attachments. The second concept is centered on the recently uncovered chromosome separation checkpoint mediated by a midzone-associated Aurora B gradient, which delays nuclear envelope reformation in response to incompletely separated chromosomes. We aim to identify Aurora B targets involved in the spatiotemporal regulation of the anaphase-telophase transition. We will establish powerful live-cell microscopy assays and a novel mammalian model system to dissect how this checkpoint allows the detection and correction of lagging/long chromosomes and DNA bridges that would otherwise contribute to genomic instability. Overall, this work will establish a paradigm shift in our understanding of how spatial information is conveyed to faithfully segregate chromosomes during mitosis.
Max ERC Funding
2 323 468 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym COMANFLO
Project Computation and analysis of statistical solutions of fluid flow
Researcher (PI) Siddhartha MISHRA
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Consolidator Grant (CoG), PE1, ERC-2017-COG
Summary Entropy (admissible) weak solutions are widely considered to be the standard solution framework for hyperbolic systems of conservation laws and incompressible Euler equations. However, the lack of global existence results in several space dimensions, the recent demonstration of non-uniqueness of these solutions and computations showing the lack of convergence of state of the art numerical methods to them, have reinforced the need to seek alternative solution paradigms.
Although one can show that numerical approximations of these nonlinear PDEs converge to measure-valued solutions i.e Young measures, these solutions are not unique and we need to constrain them further. Statistical solutions i.e, time-parametrized probability measures on spaces of integrable functions, are a promising framework in this regard as they can be characterized as a measure-valued solution that also contains information about all possible multi-point spatial correlations. So far, well-posedness of statistical solutions has been shown only in the case of scalar conservation laws.
The main aim of the proposed project is to analyze statistical solutions of systems of conservation laws and incompressible Euler equations and to design efficient numerical approximations for them. We aim to prove global existence of statistical solutions in several space dimensions, by showing convergence of these numerical approximations, and to identify suitable additional admissibility criteria for statistical solutions that can ensure uniqueness. We will use these numerical methods to compute statistical quantities of interest and relate them to existing theories (and observations) for unstable and turbulent fluid flows. Successful completion of this project aims to establish statistical solutions as the appropriate solution paradigm for inviscid fluid flows, even for deterministic initial data, and will pave the way for applications to astrophysics, climate science and uncertainty quantification.
Summary
Entropy (admissible) weak solutions are widely considered to be the standard solution framework for hyperbolic systems of conservation laws and incompressible Euler equations. However, the lack of global existence results in several space dimensions, the recent demonstration of non-uniqueness of these solutions and computations showing the lack of convergence of state of the art numerical methods to them, have reinforced the need to seek alternative solution paradigms.
Although one can show that numerical approximations of these nonlinear PDEs converge to measure-valued solutions i.e Young measures, these solutions are not unique and we need to constrain them further. Statistical solutions i.e, time-parametrized probability measures on spaces of integrable functions, are a promising framework in this regard as they can be characterized as a measure-valued solution that also contains information about all possible multi-point spatial correlations. So far, well-posedness of statistical solutions has been shown only in the case of scalar conservation laws.
The main aim of the proposed project is to analyze statistical solutions of systems of conservation laws and incompressible Euler equations and to design efficient numerical approximations for them. We aim to prove global existence of statistical solutions in several space dimensions, by showing convergence of these numerical approximations, and to identify suitable additional admissibility criteria for statistical solutions that can ensure uniqueness. We will use these numerical methods to compute statistical quantities of interest and relate them to existing theories (and observations) for unstable and turbulent fluid flows. Successful completion of this project aims to establish statistical solutions as the appropriate solution paradigm for inviscid fluid flows, even for deterministic initial data, and will pave the way for applications to astrophysics, climate science and uncertainty quantification.
Max ERC Funding
1 959 323 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym DissectPcG
Project Dissecting the Function of Multiple Polycomb Group Complexes in Establishing Transcriptional Identity
Researcher (PI) Diego PASINI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI MILANO
Call Details Consolidator Grant (CoG), LS3, ERC-2016-COG
Summary The activities of the Polycomb group (PcG) of repressive chromatin modifiers are required to maintain correct transcriptional identity during development and differentiation. These activities are altered in a variety of tumours by gain- or loss-of-function mutations, whose mechanistic aspects still remain unclear.
PcGs can be classified in two major repressive complexes (PRC1 and PRC2) with common pathways but distinct biochemical activities. PRC1 catalyses histone H2A ubiquitination of lysine 119, and PRC2 tri-methylation of histone H3 lysine 27. However, PRC1 has a more heterogeneous composition than PRC2, with six mutually exclusive PCGF subunits (PCGF1–6) essential for assembling distinct PRC1 complexes that differ in subunit composition but share the same catalytic core.
While up to six different PRC1 forms can co-exist in a given cell, the molecular mechanisms regulating their activities and their relative contributions to general PRC1 function in any tissue/cell type remain largely unknown. In line with this biochemical heterogeneity, PRC1 retains broader biological functions than PRC2. Critically, however, no molecular analysis has yet been published that dissects the contribution of each PRC1 complex in regulating transcriptional identity.
We will take advantage of newly developed reagents and unpublished genetic models to target each of the six Pcgf genes in either embryonic stem cells or mouse adult tissues. This will systematically dissect the contributions of the different PRC1 complexes to chromatin profiles, gene expression programs, and cellular phenotypes during stem cell self-renewal, differentiation and adult tissue homeostasis. Overall, this will elucidate some of the fundamental mechanisms underlying the establishment and maintenance of cellular identity and will allow us to further determine the molecular links between PcG deregulation and cancer development in a tissue- and/or cell type–specific manner.
Summary
The activities of the Polycomb group (PcG) of repressive chromatin modifiers are required to maintain correct transcriptional identity during development and differentiation. These activities are altered in a variety of tumours by gain- or loss-of-function mutations, whose mechanistic aspects still remain unclear.
PcGs can be classified in two major repressive complexes (PRC1 and PRC2) with common pathways but distinct biochemical activities. PRC1 catalyses histone H2A ubiquitination of lysine 119, and PRC2 tri-methylation of histone H3 lysine 27. However, PRC1 has a more heterogeneous composition than PRC2, with six mutually exclusive PCGF subunits (PCGF1–6) essential for assembling distinct PRC1 complexes that differ in subunit composition but share the same catalytic core.
While up to six different PRC1 forms can co-exist in a given cell, the molecular mechanisms regulating their activities and their relative contributions to general PRC1 function in any tissue/cell type remain largely unknown. In line with this biochemical heterogeneity, PRC1 retains broader biological functions than PRC2. Critically, however, no molecular analysis has yet been published that dissects the contribution of each PRC1 complex in regulating transcriptional identity.
We will take advantage of newly developed reagents and unpublished genetic models to target each of the six Pcgf genes in either embryonic stem cells or mouse adult tissues. This will systematically dissect the contributions of the different PRC1 complexes to chromatin profiles, gene expression programs, and cellular phenotypes during stem cell self-renewal, differentiation and adult tissue homeostasis. Overall, this will elucidate some of the fundamental mechanisms underlying the establishment and maintenance of cellular identity and will allow us to further determine the molecular links between PcG deregulation and cancer development in a tissue- and/or cell type–specific manner.
Max ERC Funding
2 000 000 €
Duration
Start date: 2017-11-01, End date: 2022-10-31
Project acronym ENDOFUN
Project The endodermis - unraveling the function of an ancient barrier
Researcher (PI) Niko Geldner
Host Institution (HI) UNIVERSITE DE LAUSANNE
Call Details Consolidator Grant (CoG), LS3, ERC-2013-CoG
Summary In addition to maintaining homeostasis within their cells, multicellular organisms also need to control their inner, extracellular spaces between cells. In order to do so, epithelia have developed, bearing ring-like paracellular barriers, with specialised membrane surfaces facing either the environment or the inner space of the organism. In animals, such polarised epithelia use specialised protein assemblies, called tight junctions, to seal the extracellular space, which have been a topic of active research for decades. Plant roots need to extract inorganic elements from the soil. A plethora of transporters are expressed in plant roots, yet, as in animals, transporter action is contingent upon the presence of efficient paracellular (apoplastic) barriers. Therefore, an understanding of the development, structure and function of the root apoplastic barrier is crucial for mechanistic models of root nutrient uptake. The endodermis is the main apoplastic barrier in roots, but, in contrast to animals, molecular data about endodermal differentiation and function has been virtually absent. We recently gained insights into the factors that drive endodermal differentiation, largely due to efforts from my research team. Our work has led a foundation of mutants, markers and protocols that provide an unprecented opportunity to test the many supposed roles of the root endodermis. Our preliminary insights indicate that generally accepted views of endodermal function have been overly simplistic. The topic of this proposal is to develop better tools and much more precise molecular analysis of nutrient uptake, centered around the endodermis. I propose to investigate our specific barrier mutants with new tools that allow visualisation of changes in nutrient transport at cellular resolution. The results from this project will provide a new foundation for models of plant nutrition and help us to understand how plants manage, and sometimes fail, to extract what they need from the soil.
Summary
In addition to maintaining homeostasis within their cells, multicellular organisms also need to control their inner, extracellular spaces between cells. In order to do so, epithelia have developed, bearing ring-like paracellular barriers, with specialised membrane surfaces facing either the environment or the inner space of the organism. In animals, such polarised epithelia use specialised protein assemblies, called tight junctions, to seal the extracellular space, which have been a topic of active research for decades. Plant roots need to extract inorganic elements from the soil. A plethora of transporters are expressed in plant roots, yet, as in animals, transporter action is contingent upon the presence of efficient paracellular (apoplastic) barriers. Therefore, an understanding of the development, structure and function of the root apoplastic barrier is crucial for mechanistic models of root nutrient uptake. The endodermis is the main apoplastic barrier in roots, but, in contrast to animals, molecular data about endodermal differentiation and function has been virtually absent. We recently gained insights into the factors that drive endodermal differentiation, largely due to efforts from my research team. Our work has led a foundation of mutants, markers and protocols that provide an unprecented opportunity to test the many supposed roles of the root endodermis. Our preliminary insights indicate that generally accepted views of endodermal function have been overly simplistic. The topic of this proposal is to develop better tools and much more precise molecular analysis of nutrient uptake, centered around the endodermis. I propose to investigate our specific barrier mutants with new tools that allow visualisation of changes in nutrient transport at cellular resolution. The results from this project will provide a new foundation for models of plant nutrition and help us to understand how plants manage, and sometimes fail, to extract what they need from the soil.
Max ERC Funding
1 985 443 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym EpiMechanism
Project Mechanisms of Chromatin-based Epigenetic Inheritance
Researcher (PI) Lars Jansen
Host Institution (HI) FUNDACAO CALOUSTE GULBENKIAN
Call Details Consolidator Grant (CoG), LS3, ERC-2013-CoG
Summary Epigenetic mechanisms heritably maintain gene expression states and chromosome organization across cell division. These include chromatin-based factors that are propagated independent of local DNA sequence elements, and are critical for normal development and prevent reprogramming, e.g. during induction of pluripotency. We focus on the role of nucleosomes, the histone-DNA complexes that make up chromatin. While prominently implicated in epigenetic memory, how histones and their local modifications can actually be inherited is largely unknown. We take aim at three fundamental aspects that we argue are central to this problem: stability of the epigenetic mark, self-templated duplication, and cell cycle coupling.
We developed a unique pulse-labeling strategy to determine whether silent and active chromatin can be inherited and how this relates to transcription, both in cancer cells and in vitro differentiating stem cells. By coupling this strategy to an imaging-based RNAi screen we aim to identify components controlling nucleosome assembly and heritability. We achieve this by focusing on the human centromere, the chromosome locus essential for chromosome segregation which serves as an ideal model for epigenetic memory. This locus is specified by nucleosomes carrying the histone H3 variant, CENP-A that we have previously shown to be highly stable in cycling cells and to be replicated in a strict cell cycle coupled manner. We build on our previous successes to uncover the molecular mechanism and cellular consequences of the coupling between CENP-A propagation and the cell cycle which we postulate, ensures proper centromere size and mitotic fidelity. Furthermore, by genome engineering we developed a strategy to delete an endogenous centromere to determine how centromeres can form de novo and how CENP-A chromatin, once formed, can template its own duplication. With this multi-facetted approach we aim to uncover general mechanistic principles of chromatin-based memory.
Summary
Epigenetic mechanisms heritably maintain gene expression states and chromosome organization across cell division. These include chromatin-based factors that are propagated independent of local DNA sequence elements, and are critical for normal development and prevent reprogramming, e.g. during induction of pluripotency. We focus on the role of nucleosomes, the histone-DNA complexes that make up chromatin. While prominently implicated in epigenetic memory, how histones and their local modifications can actually be inherited is largely unknown. We take aim at three fundamental aspects that we argue are central to this problem: stability of the epigenetic mark, self-templated duplication, and cell cycle coupling.
We developed a unique pulse-labeling strategy to determine whether silent and active chromatin can be inherited and how this relates to transcription, both in cancer cells and in vitro differentiating stem cells. By coupling this strategy to an imaging-based RNAi screen we aim to identify components controlling nucleosome assembly and heritability. We achieve this by focusing on the human centromere, the chromosome locus essential for chromosome segregation which serves as an ideal model for epigenetic memory. This locus is specified by nucleosomes carrying the histone H3 variant, CENP-A that we have previously shown to be highly stable in cycling cells and to be replicated in a strict cell cycle coupled manner. We build on our previous successes to uncover the molecular mechanism and cellular consequences of the coupling between CENP-A propagation and the cell cycle which we postulate, ensures proper centromere size and mitotic fidelity. Furthermore, by genome engineering we developed a strategy to delete an endogenous centromere to determine how centromeres can form de novo and how CENP-A chromatin, once formed, can template its own duplication. With this multi-facetted approach we aim to uncover general mechanistic principles of chromatin-based memory.
Max ERC Funding
1 621 400 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym HIGEOM
Project Highly accurate Isogeometric Method
Researcher (PI) Giancarlo Sangalli
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PAVIA
Call Details Consolidator Grant (CoG), PE1, ERC-2013-CoG
Summary "Partial Differential Equations (PDEs) are widely used in science and engineering simulations, often in tight connection with Computer Aided Design (CAD). The Finite Element Method (FEM) is one of the most popular technique for the discretization of PDEs. The IsoGeometric Method (IGM), proposed in 2005 by T.J.R. Hughes et al., aims at improving the interoperability between CAD and FEMs. This is achieved by adopting the CAD mathematical primitives, i.e. Splines and Non-Uniform Rational B-Splines (NURBS), both for geometry and unknown fields representation. The IGM has gained an incredible momentum especially in the engineering community. The use of high-degree, highly smooth NURBS is extremely successful and the IGM outperforms the FEM in most academic benchmarks.
However, we are far from having a satisfactory mathematical understanding of the IGM and, even more importantly, from exploiting its full potential. Until now, the IGM theory and practice have been deeply influenced by finite element analysis. For example, the IGM is implemented resorting to a FEM code design, which is very inefficient for high-degree and high-smoothness NURBS. This has made possible a fast spreading of the IGM, but also limited it to quadratic or cubic NURBS in complex simulations.
The use of higher degree IGM for real-world applications asks for new tools allowing for the efficient construction and solution of the linear system, time integration, flexible local mesh refinement, and so on. These questions need to be approached beyond the FEM framework. This is possible only on solid mathematical grounds, on a new theory of splines and NURBS able to comply with the needs of the IGM.
This project will provide the crucial knowledge and will re-design the IGM to make it a superior, highly accurate and stable methodology, having a significant impact in the field of numerical simulation of PDEs, particularly when accuracy is essential both in geometry and fields representation."
Summary
"Partial Differential Equations (PDEs) are widely used in science and engineering simulations, often in tight connection with Computer Aided Design (CAD). The Finite Element Method (FEM) is one of the most popular technique for the discretization of PDEs. The IsoGeometric Method (IGM), proposed in 2005 by T.J.R. Hughes et al., aims at improving the interoperability between CAD and FEMs. This is achieved by adopting the CAD mathematical primitives, i.e. Splines and Non-Uniform Rational B-Splines (NURBS), both for geometry and unknown fields representation. The IGM has gained an incredible momentum especially in the engineering community. The use of high-degree, highly smooth NURBS is extremely successful and the IGM outperforms the FEM in most academic benchmarks.
However, we are far from having a satisfactory mathematical understanding of the IGM and, even more importantly, from exploiting its full potential. Until now, the IGM theory and practice have been deeply influenced by finite element analysis. For example, the IGM is implemented resorting to a FEM code design, which is very inefficient for high-degree and high-smoothness NURBS. This has made possible a fast spreading of the IGM, but also limited it to quadratic or cubic NURBS in complex simulations.
The use of higher degree IGM for real-world applications asks for new tools allowing for the efficient construction and solution of the linear system, time integration, flexible local mesh refinement, and so on. These questions need to be approached beyond the FEM framework. This is possible only on solid mathematical grounds, on a new theory of splines and NURBS able to comply with the needs of the IGM.
This project will provide the crucial knowledge and will re-design the IGM to make it a superior, highly accurate and stable methodology, having a significant impact in the field of numerical simulation of PDEs, particularly when accuracy is essential both in geometry and fields representation."
Max ERC Funding
928 188 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym ICOPT
Project Fundamental Problems at the Interface of Combinatorial Optimization with Integer Programming and Online Optimization
Researcher (PI) Rico Zenklusen
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Consolidator Grant (CoG), PE1, ERC-2018-COG
Summary The goal of this proposal is to leverage and significantly extend techniques from the field of Combinatorial Optimization to address some fundamental open algorithmic questions in other, related areas, namely Integer Programming and Online Optimization. More precisely, we focus on the following three thrusts, which share many combinatorial features:
- Integer programming with bounded subdeterminants.
- Expressive power of mixed-integer linear formulations.
- The matroid secretary conjecture, a key online selection problem.
Recent significant progress, in which the PI played a central role, combined with new ideas, give hope to obtain breakthrough results in these fields. Many of the questions we consider are long-standing open problems in their respective area, and any progress is thus likely to be a significant contribution to Mathematical Optimization and Theoretical Computer Science. However, equally importantly, if progress can be achieved through the suggested methodologies, then this would create intriguing new links between different fields, which was a key driver in the selection of the above research thrusts.
Summary
The goal of this proposal is to leverage and significantly extend techniques from the field of Combinatorial Optimization to address some fundamental open algorithmic questions in other, related areas, namely Integer Programming and Online Optimization. More precisely, we focus on the following three thrusts, which share many combinatorial features:
- Integer programming with bounded subdeterminants.
- Expressive power of mixed-integer linear formulations.
- The matroid secretary conjecture, a key online selection problem.
Recent significant progress, in which the PI played a central role, combined with new ideas, give hope to obtain breakthrough results in these fields. Many of the questions we consider are long-standing open problems in their respective area, and any progress is thus likely to be a significant contribution to Mathematical Optimization and Theoretical Computer Science. However, equally importantly, if progress can be achieved through the suggested methodologies, then this would create intriguing new links between different fields, which was a key driver in the selection of the above research thrusts.
Max ERC Funding
1 443 422 €
Duration
Start date: 2019-11-01, End date: 2024-10-31
Project acronym NBEB-SSP
Project Nonparametric Bayes and empirical Bayes for species sampling problems: classical questions, new directions and related issues
Researcher (PI) Stefano FAVARO
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TORINO
Call Details Consolidator Grant (CoG), PE1, ERC-2018-COG
Summary Consider a population of individuals belonging to different species with unknown proportions. Given an
initial (observable) random sample from the population, how do we estimate the number of species in the
population, or the probability of discovering a new species in one additional sample, or the number of
hitherto unseen species that would be observed in additional unobservable samples? These are archetypal
examples of a broad class of statistical problems referred to as species sampling problems (SSP), namely:
statistical problems in which the objects of inference are functionals involving the unknown species
proportions and/or the species frequency counts induced by observable and unobservable samples from the
population. SSPs first appeared in ecology, and their importance has grown considerably in the recent years
driven by challenging applications in a wide range of leading scientific disciplines, e.g., biosciences and
physical sciences, engineering sciences, machine learning, theoretical computer science and information
theory, etc.
The objective of this project is the introduction and a thorough investigation of new nonparametric Bayes
and empirical Bayes methods for SSPs. The proposed advances will include: i) addressing challenging
methodological open problems in classical SSPs under the nonparametric empirical Bayes framework, which
is arguably the most developed (currently most implemented by practitioners) framework do deal with
classical SSPs; fully exploiting and developing the potential of tools from mathematical analysis,
combinatorial probability and Bayesian nonparametric statistics to set forth a coherent modern approach to
classical SSPs, and then investigating the interplay between this approach and its empirical counterpart;
extending the scope of the above studies to more challenging SSPs, and classes of generalized SSPs, that
have emerged recently in the fields of biosciences and physical sciences, machine learning and information
theory.
Summary
Consider a population of individuals belonging to different species with unknown proportions. Given an
initial (observable) random sample from the population, how do we estimate the number of species in the
population, or the probability of discovering a new species in one additional sample, or the number of
hitherto unseen species that would be observed in additional unobservable samples? These are archetypal
examples of a broad class of statistical problems referred to as species sampling problems (SSP), namely:
statistical problems in which the objects of inference are functionals involving the unknown species
proportions and/or the species frequency counts induced by observable and unobservable samples from the
population. SSPs first appeared in ecology, and their importance has grown considerably in the recent years
driven by challenging applications in a wide range of leading scientific disciplines, e.g., biosciences and
physical sciences, engineering sciences, machine learning, theoretical computer science and information
theory, etc.
The objective of this project is the introduction and a thorough investigation of new nonparametric Bayes
and empirical Bayes methods for SSPs. The proposed advances will include: i) addressing challenging
methodological open problems in classical SSPs under the nonparametric empirical Bayes framework, which
is arguably the most developed (currently most implemented by practitioners) framework do deal with
classical SSPs; fully exploiting and developing the potential of tools from mathematical analysis,
combinatorial probability and Bayesian nonparametric statistics to set forth a coherent modern approach to
classical SSPs, and then investigating the interplay between this approach and its empirical counterpart;
extending the scope of the above studies to more challenging SSPs, and classes of generalized SSPs, that
have emerged recently in the fields of biosciences and physical sciences, machine learning and information
theory.
Max ERC Funding
982 930 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym RSPDE
Project Regularity and Stability in Partial Differential Equations
Researcher (PI) Alessio FIGALLI
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Consolidator Grant (CoG), PE1, ERC-2016-COG
Summary "This project focuses on several problems in Partial Differential Equations (PDEs) and the Calculus of Variations. These include:
- Optimal transport and Monge-Ampère equations.
In the last 30 years, the optimal transport problem has been found to be useful to several areas
of mathematics. In particular, this problem is related to Monge-Ampère type equations, and understanding the regularity properties of solutions to such equations is an important question with applications to several other fields.
- Stability in functional and geometric inequalities.
Whether a minimizer of some inequality is ""stable'' in some suitable sense
is an important issue in order to understand and/or predict the evolution in time of a physical phenomenon.
For instance, quantitative stability results allow one to quantify the rate of convergence of a physical system to some steady state, and they can also be used to understand how much the system changes under the influence of exterior factors.
- Di Perna-Lions theory and PDEs.
The study of transport equations with rough coefficients is a very active research area. In particular, recent developments have been used to obtain new results on the semiclassical limit for the Schr\""odinger equation and on the Lagrangian structure of transport equations with singular vector-fields (for instance, the Vlasov-Poisson equation).
These problems, although apparently different, are actually deeply interconnected.
The PI aims to use his expertise in partial differential equations and geometric measure theory to introduce ideas and techniques that will lead to new groundbreaking results.
"
Summary
"This project focuses on several problems in Partial Differential Equations (PDEs) and the Calculus of Variations. These include:
- Optimal transport and Monge-Ampère equations.
In the last 30 years, the optimal transport problem has been found to be useful to several areas
of mathematics. In particular, this problem is related to Monge-Ampère type equations, and understanding the regularity properties of solutions to such equations is an important question with applications to several other fields.
- Stability in functional and geometric inequalities.
Whether a minimizer of some inequality is ""stable'' in some suitable sense
is an important issue in order to understand and/or predict the evolution in time of a physical phenomenon.
For instance, quantitative stability results allow one to quantify the rate of convergence of a physical system to some steady state, and they can also be used to understand how much the system changes under the influence of exterior factors.
- Di Perna-Lions theory and PDEs.
The study of transport equations with rough coefficients is a very active research area. In particular, recent developments have been used to obtain new results on the semiclassical limit for the Schr\""odinger equation and on the Lagrangian structure of transport equations with singular vector-fields (for instance, the Vlasov-Poisson equation).
These problems, although apparently different, are actually deeply interconnected.
The PI aims to use his expertise in partial differential equations and geometric measure theory to introduce ideas and techniques that will lead to new groundbreaking results.
"
Max ERC Funding
1 742 428 €
Duration
Start date: 2017-02-01, End date: 2022-01-31
Project acronym StabCondEn
Project Stability Conditions, Moduli Spaces and Enhancements
Researcher (PI) Paolo STELLARI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI MILANO
Call Details Consolidator Grant (CoG), PE1, ERC-2017-COG
Summary I will introduce new techniques to address two big open questions in the theory of derived/triangulated categories and their many applications in algebraic geometry.
The first one concerns the theory of Bridgeland stability conditions, which provides a notion of stability for complexes in the derived category. The problem of showing that the space parametrizing stability conditions is non-empty is one of the most difficult and challenging ones. Once we know that such stability conditions exist, it remains to prove that the corresponding moduli spaces of stable objects have an interesting geometry (e.g. they are projective varieties). This is a deep and intricate problem.
On the more foundational side, the most successful approach to avoid the many problematic aspects of the theory of triangulated categories consisted in considering higher categorical enhancements of triangulated categories. On the one side, a big open question concerns the uniqueness and canonicity of these enhancements. On the other side, this approach does not give a solution to the problem of describing all exact functors, leaving this as a completely open question. We need a completely new and comprehensive approach to these fundamental questions.
I intend to address these two sets of problems in the following innovative long-term projects:
1. Develop a theory of stability conditions for semiorthogonal decompositions and its applications to moduli problems. The main applications concern cubic fourfolds, Calabi-Yau threefolds and Calabi-Yau categories.
2. Apply these new results to the study of moduli spaces of rational normal curves on cubic fourfolds and their deep relations to hyperkaehler geometry.
3. Investigate the uniqueness of dg enhancements for the category of perfect complexes and, most prominently, of admissible subcategories of derived categories.
4. Develop a new theory for an effective description of exact functors in order to prove some related conjectures.
Summary
I will introduce new techniques to address two big open questions in the theory of derived/triangulated categories and their many applications in algebraic geometry.
The first one concerns the theory of Bridgeland stability conditions, which provides a notion of stability for complexes in the derived category. The problem of showing that the space parametrizing stability conditions is non-empty is one of the most difficult and challenging ones. Once we know that such stability conditions exist, it remains to prove that the corresponding moduli spaces of stable objects have an interesting geometry (e.g. they are projective varieties). This is a deep and intricate problem.
On the more foundational side, the most successful approach to avoid the many problematic aspects of the theory of triangulated categories consisted in considering higher categorical enhancements of triangulated categories. On the one side, a big open question concerns the uniqueness and canonicity of these enhancements. On the other side, this approach does not give a solution to the problem of describing all exact functors, leaving this as a completely open question. We need a completely new and comprehensive approach to these fundamental questions.
I intend to address these two sets of problems in the following innovative long-term projects:
1. Develop a theory of stability conditions for semiorthogonal decompositions and its applications to moduli problems. The main applications concern cubic fourfolds, Calabi-Yau threefolds and Calabi-Yau categories.
2. Apply these new results to the study of moduli spaces of rational normal curves on cubic fourfolds and their deep relations to hyperkaehler geometry.
3. Investigate the uniqueness of dg enhancements for the category of perfect complexes and, most prominently, of admissible subcategories of derived categories.
4. Develop a new theory for an effective description of exact functors in order to prove some related conjectures.
Max ERC Funding
785 866 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym STEMBAR
Project Mechanisms and functional significance of diffusion barriers for asymmetric segregation of age in neural stem cells
Researcher (PI) Sebastian Jessberger
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Consolidator Grant (CoG), LS3, ERC-2015-CoG
Summary Neural stem/progenitor cells (NSPCs) continue to generate new neurons throughout life in distinct regions of the mammalian brain. Adult neurogenesis has been implicated in brain function and altered neurogenesis has been associated with a number of neuropsychiatric diseases such as depression and cognitive ageing. A key feature of somatic stem cell division is the ability to divide asymmetrically and symmetrically for neurogenic and self-renewing cell division, respectively. However, it remains unknown how age is segregated in the context of somatic stem cell division, i.e., if the cellular history and the replicative age of the mother stem cell is passed onto its progeny. Thus, we hypothesized that – similar to the previously described barrier that exists in budding yeast – somatic stem cells, and more specifically NSPCs, form a diffusion barrier during cell division to retain aging or senescence factors within the stem cell, generating a mechanism for how age is asymmetrically distributed. Indeed, we found the existence of a diffusion barrier that is established during NSPC division, identifying a new mechanism of cellular segregation and asymmetry. With the program proposed here I aim i) to study the effects of the barrier on asymmetric segregation of aging factors and to develop novel tools to visualize the mammalian diffusion barrier, ii) to characterize the presence of a diffusion barrier in endogenous NSPCs in relation to cell division history, iii) to analyse the mechanisms underlying age-associated weakening of the NSPC diffusion barrier, and iv) to evaluate if genetic and pharmacological rescue of the barrier is sufficient to ameliorate the age-dependent decline of neurogenesis. The insights gained from the studies proposed here have the potential to substantially advance our understanding of NSPC biology, to identify a new mechanism underlying the neurogenic process, and to reshape our understanding of asymmetric cell division of somatic stem cells.
Summary
Neural stem/progenitor cells (NSPCs) continue to generate new neurons throughout life in distinct regions of the mammalian brain. Adult neurogenesis has been implicated in brain function and altered neurogenesis has been associated with a number of neuropsychiatric diseases such as depression and cognitive ageing. A key feature of somatic stem cell division is the ability to divide asymmetrically and symmetrically for neurogenic and self-renewing cell division, respectively. However, it remains unknown how age is segregated in the context of somatic stem cell division, i.e., if the cellular history and the replicative age of the mother stem cell is passed onto its progeny. Thus, we hypothesized that – similar to the previously described barrier that exists in budding yeast – somatic stem cells, and more specifically NSPCs, form a diffusion barrier during cell division to retain aging or senescence factors within the stem cell, generating a mechanism for how age is asymmetrically distributed. Indeed, we found the existence of a diffusion barrier that is established during NSPC division, identifying a new mechanism of cellular segregation and asymmetry. With the program proposed here I aim i) to study the effects of the barrier on asymmetric segregation of aging factors and to develop novel tools to visualize the mammalian diffusion barrier, ii) to characterize the presence of a diffusion barrier in endogenous NSPCs in relation to cell division history, iii) to analyse the mechanisms underlying age-associated weakening of the NSPC diffusion barrier, and iv) to evaluate if genetic and pharmacological rescue of the barrier is sufficient to ameliorate the age-dependent decline of neurogenesis. The insights gained from the studies proposed here have the potential to substantially advance our understanding of NSPC biology, to identify a new mechanism underlying the neurogenic process, and to reshape our understanding of asymmetric cell division of somatic stem cells.
Max ERC Funding
2 000 000 €
Duration
Start date: 2016-09-01, End date: 2021-08-31
Project acronym UniCoSM
Project Universality in Condensed Matter and Statistical Mechanics
Researcher (PI) Alessandro GIULIANI
Host Institution (HI) UNIVERSITA DEGLI STUDI ROMA TRE
Call Details Consolidator Grant (CoG), PE1, ERC-2016-COG
Summary Universality is a central concept in several branches of mathematics and physics. In the broad context of statistical mechanics and condensed matter, it refers to the independence of certain key observables from the microscopic details of the system. Remarkable examples of this phenomenon are: the universality of the scaling theory at a second order phase transition, at a quantum critical point, or in a phase with broken continuous symmetry; the quantization of the conductivity in interacting or disordered quantum many-body systems; the equivalence between bulk and edge transport coefficients. Notwithstanding the striking evidence for the validity of the universality hypothesis in these and many other settings, a fundamental understanding of these phenomena is still lacking, particularly in the case of interacting systems.
This project will investigate several key problems, representative of different instances of universality. It will develop along three inter-connected research lines: scaling limits in Ising and dimer models, quantum transport in interacting Fermi systems, continuous symmetry breaking in spin systems and in models for pattern formation or nematic order. Progresses on these problems will come from an effective combination of the complementary techniques that are currently used in the mathematical theory of universality, such as: constructive renormalization group, reflection positivity, functional inequalities, discrete harmonic analysis, rigidity estimates. We will pay particular attention to the study of some poorly understood aspects of the theory, such as the role of boundary corrections, the loss of translational invariance in multiscale analysis, and the phenomenon of continuous non-abelian symmetry breaking. The final goal of the project is the development of new tools for the mathematical analysis of strongly interacting systems. Its impact will be an improved fundamental understanding of universality phenomena in condensed matter.
Summary
Universality is a central concept in several branches of mathematics and physics. In the broad context of statistical mechanics and condensed matter, it refers to the independence of certain key observables from the microscopic details of the system. Remarkable examples of this phenomenon are: the universality of the scaling theory at a second order phase transition, at a quantum critical point, or in a phase with broken continuous symmetry; the quantization of the conductivity in interacting or disordered quantum many-body systems; the equivalence between bulk and edge transport coefficients. Notwithstanding the striking evidence for the validity of the universality hypothesis in these and many other settings, a fundamental understanding of these phenomena is still lacking, particularly in the case of interacting systems.
This project will investigate several key problems, representative of different instances of universality. It will develop along three inter-connected research lines: scaling limits in Ising and dimer models, quantum transport in interacting Fermi systems, continuous symmetry breaking in spin systems and in models for pattern formation or nematic order. Progresses on these problems will come from an effective combination of the complementary techniques that are currently used in the mathematical theory of universality, such as: constructive renormalization group, reflection positivity, functional inequalities, discrete harmonic analysis, rigidity estimates. We will pay particular attention to the study of some poorly understood aspects of the theory, such as the role of boundary corrections, the loss of translational invariance in multiscale analysis, and the phenomenon of continuous non-abelian symmetry breaking. The final goal of the project is the development of new tools for the mathematical analysis of strongly interacting systems. Its impact will be an improved fundamental understanding of universality phenomena in condensed matter.
Max ERC Funding
1 235 875 €
Duration
Start date: 2017-03-01, End date: 2022-02-28