Project acronym 3DEpi
Project Transgenerational epigenetic inheritance of chromatin states : the role of Polycomb and 3D chromosome architecture
Researcher (PI) Giacomo CAVALLI
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Advanced Grant (AdG), LS2, ERC-2017-ADG
Summary Epigenetic inheritance entails transmission of phenotypic traits not encoded in the DNA sequence and, in the most extreme case, Transgenerational Epigenetic Inheritance (TEI) involves transmission of memory through multiple generations. Very little is known on the mechanisms governing TEI and this is the subject of the present proposal. By transiently enhancing long-range chromatin interactions, we recently established isogenic Drosophila epilines that carry stable alternative epialleles, defined by differential levels of the Polycomb-dependent H3K27me3 mark. Furthermore, we extended our paradigm to natural phenotypes. These are ideal systems to study the role of Polycomb group (PcG) proteins and other components in regulating nuclear organization and epigenetic inheritance of chromatin states. The present project conjugates genetics, epigenomics, imaging and molecular biology to reach three critical aims.
Aim 1: Analysis of the molecular mechanisms regulating Polycomb-mediated TEI. We will identify the DNA, protein and RNA components that trigger and maintain transgenerational chromatin inheritance as well as their mechanisms of action.
Aim 2: Role of 3D genome organization in the regulation of TEI. We will analyze the developmental dynamics of TEI-inducing long-range chromatin interactions, identify chromatin components mediating 3D chromatin contacts and characterize their function in the TEI process.
Aim 3: Identification of a broader role of TEI during development. TEI might reflect a normal role of PcG components in the transmission of parental chromatin onto the next embryonic generation. We will explore this possibility by establishing other TEI paradigms and by relating TEI to the normal PcG function in these systems and in normal development.
This research program will unravel the biological significance and the molecular underpinnings of TEI and lead the way towards establishing this area of research into a consolidated scientific discipline.
Summary
Epigenetic inheritance entails transmission of phenotypic traits not encoded in the DNA sequence and, in the most extreme case, Transgenerational Epigenetic Inheritance (TEI) involves transmission of memory through multiple generations. Very little is known on the mechanisms governing TEI and this is the subject of the present proposal. By transiently enhancing long-range chromatin interactions, we recently established isogenic Drosophila epilines that carry stable alternative epialleles, defined by differential levels of the Polycomb-dependent H3K27me3 mark. Furthermore, we extended our paradigm to natural phenotypes. These are ideal systems to study the role of Polycomb group (PcG) proteins and other components in regulating nuclear organization and epigenetic inheritance of chromatin states. The present project conjugates genetics, epigenomics, imaging and molecular biology to reach three critical aims.
Aim 1: Analysis of the molecular mechanisms regulating Polycomb-mediated TEI. We will identify the DNA, protein and RNA components that trigger and maintain transgenerational chromatin inheritance as well as their mechanisms of action.
Aim 2: Role of 3D genome organization in the regulation of TEI. We will analyze the developmental dynamics of TEI-inducing long-range chromatin interactions, identify chromatin components mediating 3D chromatin contacts and characterize their function in the TEI process.
Aim 3: Identification of a broader role of TEI during development. TEI might reflect a normal role of PcG components in the transmission of parental chromatin onto the next embryonic generation. We will explore this possibility by establishing other TEI paradigms and by relating TEI to the normal PcG function in these systems and in normal development.
This research program will unravel the biological significance and the molecular underpinnings of TEI and lead the way towards establishing this area of research into a consolidated scientific discipline.
Max ERC Funding
2 500 000 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym 4D-GenEx
Project Spatio-temporal Organization and Expression of the Genome
Researcher (PI) Antoine COULON
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Starting Grant (StG), LS2, ERC-2017-STG
Summary This project investigates the two-way relationship between spatio-temporal genome organization and coordinated gene regulation, through an approach at the interface between physics, computer science and biology.
In the nucleus, preferred positions are observed from chromosomes to single genes, in relation to normal and pathological cellular states. Evidence indicates a complex spatio-temporal coupling between co-regulated genes: e.g. certain genes cluster spatially when responding to similar factors and transcriptional noise patterns suggest domain-wide mechanisms. Yet, no individual experiment allows probing transcriptional coordination in 4 dimensions (FISH, live locus tracking, Hi-C...). Interpreting such data also critically requires theory (stochastic processes, statistical physics…). A lack of appropriate experimental/analytical approaches is impairing our understanding of the 4D genome.
Our proposal combines cutting-edge single-molecule imaging, signal-theory data analysis and physical modeling to study how genes coordinate in space and time in a single nucleus. Our objectives are to understand (a) competition/recycling of shared resources between genes within subnuclear compartments, (b) how enhancers communicate with genes domain-wide, and (c) the role of local conformational dynamics and supercoiling in gene co-regulation. Our organizing hypothesis is that, by acting on their microenvironment, genes shape their co-expression with other genes.
Building upon my expertise, we will use dual-color MS2/PP7 RNA labeling to visualize for the first time transcription and motion of pairs of hormone-responsive genes in real time. With our innovative signal analysis tools, we will extract spatio-temporal signatures of underlying processes, which we will investigate with stochastic modeling and validate through experimental perturbations. We expect to uncover how the functional organization of the linear genome relates to its physical properties and dynamics in 4D.
Summary
This project investigates the two-way relationship between spatio-temporal genome organization and coordinated gene regulation, through an approach at the interface between physics, computer science and biology.
In the nucleus, preferred positions are observed from chromosomes to single genes, in relation to normal and pathological cellular states. Evidence indicates a complex spatio-temporal coupling between co-regulated genes: e.g. certain genes cluster spatially when responding to similar factors and transcriptional noise patterns suggest domain-wide mechanisms. Yet, no individual experiment allows probing transcriptional coordination in 4 dimensions (FISH, live locus tracking, Hi-C...). Interpreting such data also critically requires theory (stochastic processes, statistical physics…). A lack of appropriate experimental/analytical approaches is impairing our understanding of the 4D genome.
Our proposal combines cutting-edge single-molecule imaging, signal-theory data analysis and physical modeling to study how genes coordinate in space and time in a single nucleus. Our objectives are to understand (a) competition/recycling of shared resources between genes within subnuclear compartments, (b) how enhancers communicate with genes domain-wide, and (c) the role of local conformational dynamics and supercoiling in gene co-regulation. Our organizing hypothesis is that, by acting on their microenvironment, genes shape their co-expression with other genes.
Building upon my expertise, we will use dual-color MS2/PP7 RNA labeling to visualize for the first time transcription and motion of pairs of hormone-responsive genes in real time. With our innovative signal analysis tools, we will extract spatio-temporal signatures of underlying processes, which we will investigate with stochastic modeling and validate through experimental perturbations. We expect to uncover how the functional organization of the linear genome relates to its physical properties and dynamics in 4D.
Max ERC Funding
1 499 750 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym BiomeRiskFactors
Project Discovering microbiome-based disease risk factors
Researcher (PI) Eran Segal
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Call Details Advanced Grant (AdG), LS2, ERC-2017-ADG
Summary Identifying risk factors for diseases that can be prevented or delayed by early intervention is of major importance, and numerous genetic, lifestyle, anthropometric and clinical risk factors were found for many different diseases. Another source of potentially pertinent disease risk factors is the human microbiome - the collective genome of trillions of bacteria, viruses, fungi, and parasites that reside in the human gut. However, very few microbiome disease markers were found to date.
Here, we aim to develop risk prediction tools based on the human microbiome that predict the likelihood of an individual to develop a particular condition or disease within 5-10 years. We will use a cohort of >2200 individuals that my group previously assembled, for whom we have clinical profiles, gut microbiome data, and banked blood and stool samples. We will invite people 5-10 years after their initial recruitment time, profile disease status and blood markers, and develop algorithms for predicting 5-10 year onset of Type 2 diabetes, cardiovascular disease, and obesity, using microbiome data from recruitment time.
To increase the likelihood of finding microbiome markers predictive of disease onset, we will develop novel experimental and computational methods for in-depth characterization of microbial gene function, the metabolites produced by the microbiome, the underexplored fungal microbiome members, and the interactions between the gut microbiota and the host adaptive immune system. We will then apply these methods to >2200 banked samples from cohort recruitment time and use the resulting data in devising our microbiome-based risk prediction tools. In themselves, these novel assays and their application to >2200 samples should greatly advance the microbiome field.
If successful, our proposal will identify new disease risk factors and risk prediction tools based on the microbiome, paving the way towards using the microbiome in early disease detection and prevention.
Summary
Identifying risk factors for diseases that can be prevented or delayed by early intervention is of major importance, and numerous genetic, lifestyle, anthropometric and clinical risk factors were found for many different diseases. Another source of potentially pertinent disease risk factors is the human microbiome - the collective genome of trillions of bacteria, viruses, fungi, and parasites that reside in the human gut. However, very few microbiome disease markers were found to date.
Here, we aim to develop risk prediction tools based on the human microbiome that predict the likelihood of an individual to develop a particular condition or disease within 5-10 years. We will use a cohort of >2200 individuals that my group previously assembled, for whom we have clinical profiles, gut microbiome data, and banked blood and stool samples. We will invite people 5-10 years after their initial recruitment time, profile disease status and blood markers, and develop algorithms for predicting 5-10 year onset of Type 2 diabetes, cardiovascular disease, and obesity, using microbiome data from recruitment time.
To increase the likelihood of finding microbiome markers predictive of disease onset, we will develop novel experimental and computational methods for in-depth characterization of microbial gene function, the metabolites produced by the microbiome, the underexplored fungal microbiome members, and the interactions between the gut microbiota and the host adaptive immune system. We will then apply these methods to >2200 banked samples from cohort recruitment time and use the resulting data in devising our microbiome-based risk prediction tools. In themselves, these novel assays and their application to >2200 samples should greatly advance the microbiome field.
If successful, our proposal will identify new disease risk factors and risk prediction tools based on the microbiome, paving the way towards using the microbiome in early disease detection and prevention.
Max ERC Funding
2 500 000 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym BioMeTRe
Project Biophysical mechanisms of long-range transcriptional regulation
Researcher (PI) Luca GIORGETTI
Host Institution (HI) FRIEDRICH MIESCHER INSTITUTE FOR BIOMEDICAL RESEARCH FONDATION
Call Details Starting Grant (StG), LS2, ERC-2017-STG
Summary In mammals, transcriptional control of many genes relies on cis-regulatory elements such as enhancers, which are often located tens to hundreds of kilobases away from their cognate promoters. Functional interactions between distal regulatory elements and target promoters require mutual physical proximity, which is linked to the three-dimensional structure of the chromatin fiber. Chromosome conformation capture studies revealed that chromosomes are partitioned into Topologically Associating Domains (TADs), sub-megabase domains of preferential physical interactions of the chromatin fiber. Genetic evidence showed that TAD boundaries restrict the genomic range of enhancer-promoter communication, and that interactions between regulatory sequences within TADs are further fine-tuned by smaller-scale structures. However, the mechanistic details of how physical interactions translate into transcriptional outputs are totally unknown. Here we propose to explore the biophysical mechanisms that link chromosome conformation and long-range transcriptional regulation using molecular biology, genetic engineering, single-cell experiments and physical modeling. We will measure chromosomal interactions in single cells and in time using a novel method that relies on an enzymatic process in vivo. Genetic engineering will be used to establish a cell system that allows quantitative measurement of how enhancer-promoter interactions relate to transcription at the population and single-cell levels, and to test the effects of perturbations without confounding effects. Finally, we will develop physical models of promoter operation in the presence of distal enhancers, which will be used to interpret the experimental data and formulate new testable predictions. With this integrated approach we aim at providing an entirely new layer of description of the general principles underlying transcriptional control, which could establish new paradigms for research in epigenetics and gene regulation.
Summary
In mammals, transcriptional control of many genes relies on cis-regulatory elements such as enhancers, which are often located tens to hundreds of kilobases away from their cognate promoters. Functional interactions between distal regulatory elements and target promoters require mutual physical proximity, which is linked to the three-dimensional structure of the chromatin fiber. Chromosome conformation capture studies revealed that chromosomes are partitioned into Topologically Associating Domains (TADs), sub-megabase domains of preferential physical interactions of the chromatin fiber. Genetic evidence showed that TAD boundaries restrict the genomic range of enhancer-promoter communication, and that interactions between regulatory sequences within TADs are further fine-tuned by smaller-scale structures. However, the mechanistic details of how physical interactions translate into transcriptional outputs are totally unknown. Here we propose to explore the biophysical mechanisms that link chromosome conformation and long-range transcriptional regulation using molecular biology, genetic engineering, single-cell experiments and physical modeling. We will measure chromosomal interactions in single cells and in time using a novel method that relies on an enzymatic process in vivo. Genetic engineering will be used to establish a cell system that allows quantitative measurement of how enhancer-promoter interactions relate to transcription at the population and single-cell levels, and to test the effects of perturbations without confounding effects. Finally, we will develop physical models of promoter operation in the presence of distal enhancers, which will be used to interpret the experimental data and formulate new testable predictions. With this integrated approach we aim at providing an entirely new layer of description of the general principles underlying transcriptional control, which could establish new paradigms for research in epigenetics and gene regulation.
Max ERC Funding
1 500 000 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym CellKarma
Project Dissecting the regulatory logic of cell fate reprogramming through integrative and single cell genomics
Researcher (PI) Davide CACCHIARELLI
Host Institution (HI) FONDAZIONE TELETHON
Call Details Starting Grant (StG), LS2, ERC-2017-STG
Summary The concept that any cell type, upon delivery of the right “cocktail” of transcription factors, can acquire an identity that otherwise it would never achieve, revolutionized the way we approach the study of developmental biology. In light of this, the discovery of induced pluripotent stem cells (IPSCs) and cell fate conversion approaches stimulated new research directions into human regenerative biology. However, the chance to successfully develop patient-tailored therapies is still very limited because reprogramming technologies are applied without a comprehensive understanding of the molecular processes involved.
Here, I propose a multifaceted approach that combines a wide range of cutting-edge integrative genomic strategies to significantly advance our understanding of the regulatory logic driving cell fate decisions during human reprogramming to pluripotency.
To this end, I will utilize single cell transcriptomics to isolate reprogramming intermediates, reconstruct their lineage relationships and define transcriptional regulators responsible for the observed transitions (AIM 1). Then, I will dissect the rules by which transcription factors modulate the activity of promoters and enhancer regions during reprogramming transitions, by applying synthetic biology and genome editing approaches (AIM 2). Then, I will adopt an alternative approach to identify reprogramming modulators by the analysis of reprogramming-induced mutagenesis events (AIM 3). Finally, I will explore my findings in multiple primary reprogramming approaches to pluripotency, with the ultimate goal of improving the quality of IPSC derivation (Aim 4).
In summary, this project will expose novel determinants and yet unidentified molecular barriers of reprogramming to pluripotency and will be essential to unlock the full potential of reprogramming technologies for shaping cellular identity in vitro and to address pressing challenges of regenerative medicine.
Summary
The concept that any cell type, upon delivery of the right “cocktail” of transcription factors, can acquire an identity that otherwise it would never achieve, revolutionized the way we approach the study of developmental biology. In light of this, the discovery of induced pluripotent stem cells (IPSCs) and cell fate conversion approaches stimulated new research directions into human regenerative biology. However, the chance to successfully develop patient-tailored therapies is still very limited because reprogramming technologies are applied without a comprehensive understanding of the molecular processes involved.
Here, I propose a multifaceted approach that combines a wide range of cutting-edge integrative genomic strategies to significantly advance our understanding of the regulatory logic driving cell fate decisions during human reprogramming to pluripotency.
To this end, I will utilize single cell transcriptomics to isolate reprogramming intermediates, reconstruct their lineage relationships and define transcriptional regulators responsible for the observed transitions (AIM 1). Then, I will dissect the rules by which transcription factors modulate the activity of promoters and enhancer regions during reprogramming transitions, by applying synthetic biology and genome editing approaches (AIM 2). Then, I will adopt an alternative approach to identify reprogramming modulators by the analysis of reprogramming-induced mutagenesis events (AIM 3). Finally, I will explore my findings in multiple primary reprogramming approaches to pluripotency, with the ultimate goal of improving the quality of IPSC derivation (Aim 4).
In summary, this project will expose novel determinants and yet unidentified molecular barriers of reprogramming to pluripotency and will be essential to unlock the full potential of reprogramming technologies for shaping cellular identity in vitro and to address pressing challenges of regenerative medicine.
Max ERC Funding
1 497 250 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym CENEVO
Project A new paradigm for centromere biology:Evolution and mechanism of CenH3-independent chromosome segregation in holocentric insects
Researcher (PI) Ines DRINNENBERG
Host Institution (HI) INSTITUT CURIE
Call Details Starting Grant (StG), LS2, ERC-2017-STG
Summary Faithful chromosome segregation in all eukaryotes relies on centromeres, the chromosomal sites that recruit kinetochore proteins and mediate spindle attachment during cell division. Fundamental to centromere function is a histone H3 variant, CenH3, that initiates kinetochore assembly on centromeric DNA. CenH3 is conserved throughout most eukaryotes; its deletion is lethal in all organisms tested. These findings established the paradigm that CenH3 is an absolute requirement for centromere function. My recent findings undermined this paradigm of CenH3 essentiality. I showed that CenH3 was lost independently in four lineages of insects. These losses are concomitant with dramatic changes in their centromeric architecture, in which each lineage independently transitioned from monocentromeres (where microtubules attach to a single chromosomal region) to holocentromeres (where microtubules attach along the entire length of the chromosome). Here, I aim to characterize this unique CenH3-deficient chromosome segregation pathway. Using proteomic and genomic approaches in lepidopteran cell lines, I will determine the mechanism of CenH3-independent kinetochore assembly that led to the establishment of their holocentric architecture. Using comparative genomic approaches, I will determine whether this kinetochore assembly pathway has recurrently evolved over the course of 400 million years of evolution and its impact on the chromosome segregation machinery.
My discovery of CenH3 loss in holocentric insects establishes a new class of centromeres. My research will reveal how CenH3 that is essential in most other eukaryotes, could have become dispensable in holocentric insects. Since the evolution of this CenH3-independent chromosome segregation pathway is associated with the independent rises of holocentric architectures, my research will also provide the first insights into the transition from a monocentromere to a holocentromere.
Summary
Faithful chromosome segregation in all eukaryotes relies on centromeres, the chromosomal sites that recruit kinetochore proteins and mediate spindle attachment during cell division. Fundamental to centromere function is a histone H3 variant, CenH3, that initiates kinetochore assembly on centromeric DNA. CenH3 is conserved throughout most eukaryotes; its deletion is lethal in all organisms tested. These findings established the paradigm that CenH3 is an absolute requirement for centromere function. My recent findings undermined this paradigm of CenH3 essentiality. I showed that CenH3 was lost independently in four lineages of insects. These losses are concomitant with dramatic changes in their centromeric architecture, in which each lineage independently transitioned from monocentromeres (where microtubules attach to a single chromosomal region) to holocentromeres (where microtubules attach along the entire length of the chromosome). Here, I aim to characterize this unique CenH3-deficient chromosome segregation pathway. Using proteomic and genomic approaches in lepidopteran cell lines, I will determine the mechanism of CenH3-independent kinetochore assembly that led to the establishment of their holocentric architecture. Using comparative genomic approaches, I will determine whether this kinetochore assembly pathway has recurrently evolved over the course of 400 million years of evolution and its impact on the chromosome segregation machinery.
My discovery of CenH3 loss in holocentric insects establishes a new class of centromeres. My research will reveal how CenH3 that is essential in most other eukaryotes, could have become dispensable in holocentric insects. Since the evolution of this CenH3-independent chromosome segregation pathway is associated with the independent rises of holocentric architectures, my research will also provide the first insights into the transition from a monocentromere to a holocentromere.
Max ERC Funding
1 497 500 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym CharFL
Project Characterizing the fitness landscape on population and global scales
Researcher (PI) Fyodor Kondrashov
Host Institution (HI) INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA
Call Details Consolidator Grant (CoG), LS2, ERC-2017-COG
Summary The fitness landscape, the representation of how the genotype manifests at the phenotypic (fitness) levels, may be among the most useful concepts in biology with impact on diverse fields, including quantitative genetics, emergence of pathogen resistance, synthetic biology and protein engineering. While progress in characterizing fitness landscapes has been made, three directions of research in the field remain virtually unexplored: the nature of the genotype to phenotype of standing variation (variation found in a natural population), the shape of the fitness landscape encompassing many genotypes and the modelling of complex genetic interactions in protein sequences.
The current proposal is designed to advance the study of fitness landscapes in these three directions using large-scale genomic experiments and experimental data from a model protein and theoretical work. The study of the fitness landscape of standing variation is aimed at the resolution of an outstanding question in quantitative genetics: the extent to which epistasis, non-additive genetic interactions, is shaping the phenotype. The second aim of characterizing the global fitness landscape will give us an understanding of how evolution proceeds along long evolutionary timescales, which can be directly applied to protein engineering and synthetic biology for the design of novel phenotypes. Finally, the third aim of modelling complex interactions will improve our ability to predict phenotypes from genotypes, such as the prediction of human disease mutations. In summary, the proposed study presents an opportunity to provide a unifying understanding of how phenotypes are shaped through genetic interactions. The consolidation of our empirical and theoretical work on different scales of the genotype to phenotype relationship will provide empirical data and novel context for several fields of biology.
Summary
The fitness landscape, the representation of how the genotype manifests at the phenotypic (fitness) levels, may be among the most useful concepts in biology with impact on diverse fields, including quantitative genetics, emergence of pathogen resistance, synthetic biology and protein engineering. While progress in characterizing fitness landscapes has been made, three directions of research in the field remain virtually unexplored: the nature of the genotype to phenotype of standing variation (variation found in a natural population), the shape of the fitness landscape encompassing many genotypes and the modelling of complex genetic interactions in protein sequences.
The current proposal is designed to advance the study of fitness landscapes in these three directions using large-scale genomic experiments and experimental data from a model protein and theoretical work. The study of the fitness landscape of standing variation is aimed at the resolution of an outstanding question in quantitative genetics: the extent to which epistasis, non-additive genetic interactions, is shaping the phenotype. The second aim of characterizing the global fitness landscape will give us an understanding of how evolution proceeds along long evolutionary timescales, which can be directly applied to protein engineering and synthetic biology for the design of novel phenotypes. Finally, the third aim of modelling complex interactions will improve our ability to predict phenotypes from genotypes, such as the prediction of human disease mutations. In summary, the proposed study presents an opportunity to provide a unifying understanding of how phenotypes are shaped through genetic interactions. The consolidation of our empirical and theoretical work on different scales of the genotype to phenotype relationship will provide empirical data and novel context for several fields of biology.
Max ERC Funding
1 998 280 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym CHROMATADS
Project Chromatin Packing and Architectural Proteins in Plants
Researcher (PI) Chang LIU
Host Institution (HI) EBERHARD KARLS UNIVERSITAET TUEBINGEN
Call Details Starting Grant (StG), LS2, ERC-2017-STG
Summary The three-dimensional organization of the genome, which strikingly correlates with gene activity, is critical for many cellular processes. The evolution of molecular techniques has allowed us to unveil chromatin structure at an unprecedented resolution. The most intriguing chromatin structures observed in animals are TADs (Topologically Associating Domains), which represent the functional and structural chromatin domains demarcating the genome. Structural proteins such as insulators proteins, on the other hand, have been shown to play crucial roles in mediating the formation of TADs. However, major structural factors relevant to chromatin structure are still waiting to be discovered in land plants. My preliminary work shows that TADs are widely distributed across the rice genome, and motif sequence analysis suggests the enrichment of plant-specific transcription factors at TAD boundaries, which jointly give rise to an exciting hypothesis that these proteins might be the long-sought-after insulators in land plants. By using various state-of-the-art molecular and computational tools, this timely project aims to fill a huge gap in plant functional genomics and substantially advance our understanding of three-dimensional chromatin structure. This project consists four major aims, which collectively will uncover the identities of plant insulator proteins and generate insights into the dynamics of structural chromatin domains during stress adaptation. Aim 1 will identify and characterize the stability and plasticity of functional chromatin domains in the rice genome during temperature stress adaptation. Aim 2 will identify insulator elements and other structural features of chromatin packing in the Marchantia polymorpha genome from a structural genomics approach. Aim 3 will establish the role of candidate proteins as plant insulators. Lastly, Aim 4 will generate functional insights into the molecular mechanism by which plant insulators shape the three-dimensional genome.
Summary
The three-dimensional organization of the genome, which strikingly correlates with gene activity, is critical for many cellular processes. The evolution of molecular techniques has allowed us to unveil chromatin structure at an unprecedented resolution. The most intriguing chromatin structures observed in animals are TADs (Topologically Associating Domains), which represent the functional and structural chromatin domains demarcating the genome. Structural proteins such as insulators proteins, on the other hand, have been shown to play crucial roles in mediating the formation of TADs. However, major structural factors relevant to chromatin structure are still waiting to be discovered in land plants. My preliminary work shows that TADs are widely distributed across the rice genome, and motif sequence analysis suggests the enrichment of plant-specific transcription factors at TAD boundaries, which jointly give rise to an exciting hypothesis that these proteins might be the long-sought-after insulators in land plants. By using various state-of-the-art molecular and computational tools, this timely project aims to fill a huge gap in plant functional genomics and substantially advance our understanding of three-dimensional chromatin structure. This project consists four major aims, which collectively will uncover the identities of plant insulator proteins and generate insights into the dynamics of structural chromatin domains during stress adaptation. Aim 1 will identify and characterize the stability and plasticity of functional chromatin domains in the rice genome during temperature stress adaptation. Aim 2 will identify insulator elements and other structural features of chromatin packing in the Marchantia polymorpha genome from a structural genomics approach. Aim 3 will establish the role of candidate proteins as plant insulators. Lastly, Aim 4 will generate functional insights into the molecular mechanism by which plant insulators shape the three-dimensional genome.
Max ERC Funding
1 498 216 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym CohesinLooping
Project Cohesin-mediated chromosomal looping: From linear paths to 3D effects
Researcher (PI) Benjamin Rowland
Host Institution (HI) STICHTING HET NEDERLANDS KANKER INSTITUUT-ANTONI VAN LEEUWENHOEK ZIEKENHUIS
Call Details Consolidator Grant (CoG), LS2, ERC-2017-COG
Summary The 3D organization of chromosomes within the nucleus is of great importance to control gene expression. The cohesin complex plays a key role in such higher-order chromosome organization by looping together regulatory elements in cis. How these often megabase-sized looped structures are formed is one of the main open questions in chromosome biology. Cohesin is a ring-shaped complex that can entrap DNA inside its lumen. However, cohesin’s default behaviour is that it only transiently entraps and then releases DNA. Our recent findings indicate that chromosomes are structured through the processive enlargement of chromatin loops, and that the duration with which cohesin embraces DNA determines the degree to which loops are enlarged. The goal of this proposal is two-fold. First, we plan to investigate the mechanism by which chromatin loops are formed, and secondly we wish to dissect how looped structures are maintained. We will use a multi-disciplinary approach that includes refined genetic screens in haploid human cells, chromosome conformation capture techniques, the tracing in vivo of cohesin on individual DNA molecules, and visualization of chromosome organization by super-resolution imaging. With unbiased genetic screens, we have identified chromatin regulators involved in the formation of chromosomal loops. We will investigate how they drive loop formation, and also whether cohesin’s own enzymatic activity plays a role in the enlargement of loops. We will study whether and how these factors control the movement of cohesin along individual DNA molecules, and whether chromatin loops pass through cohesin rings during their formation. Ultimately, we plan to couple cohesin’s linear trajectory along chromatin to the 3D consequences for chromosomal architecture. Together our experiments will provide vital insight into how cohesin structures chromosomes.
Summary
The 3D organization of chromosomes within the nucleus is of great importance to control gene expression. The cohesin complex plays a key role in such higher-order chromosome organization by looping together regulatory elements in cis. How these often megabase-sized looped structures are formed is one of the main open questions in chromosome biology. Cohesin is a ring-shaped complex that can entrap DNA inside its lumen. However, cohesin’s default behaviour is that it only transiently entraps and then releases DNA. Our recent findings indicate that chromosomes are structured through the processive enlargement of chromatin loops, and that the duration with which cohesin embraces DNA determines the degree to which loops are enlarged. The goal of this proposal is two-fold. First, we plan to investigate the mechanism by which chromatin loops are formed, and secondly we wish to dissect how looped structures are maintained. We will use a multi-disciplinary approach that includes refined genetic screens in haploid human cells, chromosome conformation capture techniques, the tracing in vivo of cohesin on individual DNA molecules, and visualization of chromosome organization by super-resolution imaging. With unbiased genetic screens, we have identified chromatin regulators involved in the formation of chromosomal loops. We will investigate how they drive loop formation, and also whether cohesin’s own enzymatic activity plays a role in the enlargement of loops. We will study whether and how these factors control the movement of cohesin along individual DNA molecules, and whether chromatin loops pass through cohesin rings during their formation. Ultimately, we plan to couple cohesin’s linear trajectory along chromatin to the 3D consequences for chromosomal architecture. Together our experiments will provide vital insight into how cohesin structures chromosomes.
Max ERC Funding
1 998 375 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym CTCFStableGenome
Project CTCF control of genome stability in ageing
Researcher (PI) Duncan ODOM
Host Institution (HI) DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG
Call Details Advanced Grant (AdG), LS2, ERC-2017-ADG
Summary . Genome stability is one of the most important features in maintaining tissue homeostasis throughout the human lifespan. The research presented here will dissect how the insulator protein CCCTC-binding factor (CTCF), a ubiquitous 11 zinc finger transcription factor, controls the stability of the mammalian genome during ageing.
. In Aim 1, we will elucidate how CTCF and tissue-specific master regulators maintain the functional stability of the genome during healthy ageing by developing a novel protocol to map simultaneously transcription and open chromatin in isolated hepatocyte nuclei. Using this protocol, we will explore how CTCF binding stabilizes cellular homeostasis during ageing by knocking down CTCF in vivo, both in isolation and simultaneously with knock down of liver-specific master regulators.
. In Aim 2, we will reveal the molecular mechanisms underlying CTCF binding sites as susceptibility loci for somatic mutations. We will profile the mutations in open chromatin of single nuclei immediately following acute exposure to a chemical mutagen; comparing how the pattern of mutations in CTCF bound regions changes across an allelic series of CTCF knockdown mice will reveal how CTCF binding shapes the stability of the genome towards mutations.
. These integrated strategies develop and deploy powerful, cutting-edge experimental approaches to reveal novel aspects of how CTCF binding stabilises the mammalian genome during healthy ageing as well as during mutagenesis.
Summary
. Genome stability is one of the most important features in maintaining tissue homeostasis throughout the human lifespan. The research presented here will dissect how the insulator protein CCCTC-binding factor (CTCF), a ubiquitous 11 zinc finger transcription factor, controls the stability of the mammalian genome during ageing.
. In Aim 1, we will elucidate how CTCF and tissue-specific master regulators maintain the functional stability of the genome during healthy ageing by developing a novel protocol to map simultaneously transcription and open chromatin in isolated hepatocyte nuclei. Using this protocol, we will explore how CTCF binding stabilizes cellular homeostasis during ageing by knocking down CTCF in vivo, both in isolation and simultaneously with knock down of liver-specific master regulators.
. In Aim 2, we will reveal the molecular mechanisms underlying CTCF binding sites as susceptibility loci for somatic mutations. We will profile the mutations in open chromatin of single nuclei immediately following acute exposure to a chemical mutagen; comparing how the pattern of mutations in CTCF bound regions changes across an allelic series of CTCF knockdown mice will reveal how CTCF binding shapes the stability of the genome towards mutations.
. These integrated strategies develop and deploy powerful, cutting-edge experimental approaches to reveal novel aspects of how CTCF binding stabilises the mammalian genome during healthy ageing as well as during mutagenesis.
Max ERC Funding
2 488 251 €
Duration
Start date: 2019-09-01, End date: 2024-08-31