Project acronym Allelic Regulation
Project Revealing Allele-level Regulation and Dynamics using Single-cell Gene Expression Analyses
Researcher (PI) Thore Rickard Hakan Sandberg
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Consolidator Grant (CoG), LS2, ERC-2014-CoG
Summary As diploid organisms inherit one gene copy from each parent, a gene can be expressed from both alleles (biallelic) or from only one allele (monoallelic). Although transcription from both alleles is detected for most genes in cell population experiments, little is known about allele-specific expression in single cells and its phenotypic consequences. To answer fundamental questions about allelic transcription heterogeneity in single cells, this research program will focus on single-cell transcriptome analyses with allelic-origin resolution. To this end, we will investigate both clonally stable and dynamic random monoallelic expression across a large number of cell types, including cells from embryonic and adult stages. This research program will be accomplished with the novel single-cell RNA-seq method developed within my lab to obtain quantitative, genome-wide gene expression measurement. To distinguish between mitotically stable and dynamic patterns of allelic expression, we will analyze large numbers a clonally related cells per cell type, from both primary cultures (in vitro) and using transgenic models to obtain clonally related cells in vivo.
The biological significance of the research program is first an understanding of allelic transcription, including the nature and extent of random monoallelic expression across in vivo tissues and cell types. These novel insights into allelic transcription will be important for an improved understanding of how variable phenotypes (e.g. incomplete penetrance and variable expressivity) can arise in genetically identical individuals. Additionally, the single-cell transcriptome analyses of clonally related cells in vivo will provide unique insights into the clonality of gene expression per se.
Summary
As diploid organisms inherit one gene copy from each parent, a gene can be expressed from both alleles (biallelic) or from only one allele (monoallelic). Although transcription from both alleles is detected for most genes in cell population experiments, little is known about allele-specific expression in single cells and its phenotypic consequences. To answer fundamental questions about allelic transcription heterogeneity in single cells, this research program will focus on single-cell transcriptome analyses with allelic-origin resolution. To this end, we will investigate both clonally stable and dynamic random monoallelic expression across a large number of cell types, including cells from embryonic and adult stages. This research program will be accomplished with the novel single-cell RNA-seq method developed within my lab to obtain quantitative, genome-wide gene expression measurement. To distinguish between mitotically stable and dynamic patterns of allelic expression, we will analyze large numbers a clonally related cells per cell type, from both primary cultures (in vitro) and using transgenic models to obtain clonally related cells in vivo.
The biological significance of the research program is first an understanding of allelic transcription, including the nature and extent of random monoallelic expression across in vivo tissues and cell types. These novel insights into allelic transcription will be important for an improved understanding of how variable phenotypes (e.g. incomplete penetrance and variable expressivity) can arise in genetically identical individuals. Additionally, the single-cell transcriptome analyses of clonally related cells in vivo will provide unique insights into the clonality of gene expression per se.
Max ERC Funding
1 923 060 €
Duration
Start date: 2015-07-01, End date: 2020-06-30
Project acronym CancerHetero
Project Dissection of tumor heterogeneity in vivo
Researcher (PI) Haikun Liu
Host Institution (HI) DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG
Call Details Consolidator Grant (CoG), LS2, ERC-2014-CoG
Summary It is now widely accepted that tumors are composed of heterogeneous population of cells, which contribute
to many aspects of treatment resistance observed in clinic. Despite the acknowledgment of the tumor cell
heterogeneity, little evidence was shown about complexity and dynamics of this heterogeneity in vivo,
mainly because of lacking flexible genetic tools which allow sophisticated analysis in primary tumors. We
recently developed a very efficient mouse somatic brain tumor model which have a full penetrance of high
grade glioma development. Combination of this model with several transgenic mouse lines allow us to
isolate and track different population of cells in primary tumors, most importantly, we also confirmed that
this can be done on single cell level. Here I propose to use this set of valuable genetic tools to dissect the
cellular heterogeneity in mouse gliomas. First we will perform several single cell lineage tracing experiment
to demonstrate the contribution of brain tumor stem cell, tumor progenitors as well as the relatively
differentiated cells, which will provide a complete data sets of clonal dynamics of different tumor cell types.
Second we will further perform this tracing experiment with the presence of conventional chemotherapy.
Third we will perform single cell RNA sequencing experiment to capture the molecular signature, which
determines the cellular heterogeneity, discovered by single cell tracing. This result will be further validated
by analysis of this molecular signatures in human primary tumors. We will also use our established in vivo
target validation approach to manipulate the candidate molecular regulators to establish the functional
correlation between molecular signature and phenotypic heterogeneity. This project will greatly improve our
understanding of tumor heterogeneity, and possibly provide novel approaches and strategies of targeting
human glioblastomas.
Summary
It is now widely accepted that tumors are composed of heterogeneous population of cells, which contribute
to many aspects of treatment resistance observed in clinic. Despite the acknowledgment of the tumor cell
heterogeneity, little evidence was shown about complexity and dynamics of this heterogeneity in vivo,
mainly because of lacking flexible genetic tools which allow sophisticated analysis in primary tumors. We
recently developed a very efficient mouse somatic brain tumor model which have a full penetrance of high
grade glioma development. Combination of this model with several transgenic mouse lines allow us to
isolate and track different population of cells in primary tumors, most importantly, we also confirmed that
this can be done on single cell level. Here I propose to use this set of valuable genetic tools to dissect the
cellular heterogeneity in mouse gliomas. First we will perform several single cell lineage tracing experiment
to demonstrate the contribution of brain tumor stem cell, tumor progenitors as well as the relatively
differentiated cells, which will provide a complete data sets of clonal dynamics of different tumor cell types.
Second we will further perform this tracing experiment with the presence of conventional chemotherapy.
Third we will perform single cell RNA sequencing experiment to capture the molecular signature, which
determines the cellular heterogeneity, discovered by single cell tracing. This result will be further validated
by analysis of this molecular signatures in human primary tumors. We will also use our established in vivo
target validation approach to manipulate the candidate molecular regulators to establish the functional
correlation between molecular signature and phenotypic heterogeneity. This project will greatly improve our
understanding of tumor heterogeneity, and possibly provide novel approaches and strategies of targeting
human glioblastomas.
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-06-01, End date: 2020-05-31
Project acronym CNIDARIAMICRORNA
Project Elucidation of the evolution of post-transcriptional regulation by characterizing the cnidarian microRNA pathway
Researcher (PI) Yehu Moran
Host Institution (HI) THE HEBREW UNIVERSITY OF JERUSALEM
Call Details Starting Grant (StG), LS2, ERC-2014-STG
Summary Over the past decade small RNAs such as microRNAs (miRNAs) and small interfering RNAs (siRNAs) have been shown to carry pivotal roles in post-transcriptional regulation and genome protection and to play an important part in various physiological processes in animals. miRNAs can be found in a very wide range of animals yet their functions were studied almost exclusively in members of the Bilateria such as insects, nematodes and vertebrates. Hence studying their function in representatives of non-bilaterian phyla such as Cnidaria (sea anemones, corals, hydras and jellyfish) is crucial for understanding the evolution of miRNAs in animals and can provide important insights into their roles in the ancient ancestor of Cnidaria and Bilateria. The sea anemone Nematostella vectensis is an excellent model for such a study since it can be grown in large numbers throughout its life cycle in the lab and because well-established genetic manipulation techniques are available for this species. Our preliminary results indicate that miRNAs in Nematostella frequently have a nearly perfect match to their messenger RNA (mRNA) targets, resulting in cleavage of the target. This mode of action is common for plant miRNAs, but is very rare in Bilateria. This finding together with my recent discovery of a Nematostella homolog of HYL1, a protein involved in miRNA biogenesis in plants, raises the exciting possibility that the miRNA pathway existed in the common ancestor of plants and animals. Here I suggest to bring together an array of advanced biochemical and genetic methods such as gene knockdown, transgenesis, high throughput sequencing and immunoprecipitation in order to obtain - for the first time - a deep understanding of the biogenesis and mechanism of action of small RNAs in Cnidaria. This will provide a novel way to understand the evolution of this important molecular pathway and to evaluate its age and ancestral form.
Summary
Over the past decade small RNAs such as microRNAs (miRNAs) and small interfering RNAs (siRNAs) have been shown to carry pivotal roles in post-transcriptional regulation and genome protection and to play an important part in various physiological processes in animals. miRNAs can be found in a very wide range of animals yet their functions were studied almost exclusively in members of the Bilateria such as insects, nematodes and vertebrates. Hence studying their function in representatives of non-bilaterian phyla such as Cnidaria (sea anemones, corals, hydras and jellyfish) is crucial for understanding the evolution of miRNAs in animals and can provide important insights into their roles in the ancient ancestor of Cnidaria and Bilateria. The sea anemone Nematostella vectensis is an excellent model for such a study since it can be grown in large numbers throughout its life cycle in the lab and because well-established genetic manipulation techniques are available for this species. Our preliminary results indicate that miRNAs in Nematostella frequently have a nearly perfect match to their messenger RNA (mRNA) targets, resulting in cleavage of the target. This mode of action is common for plant miRNAs, but is very rare in Bilateria. This finding together with my recent discovery of a Nematostella homolog of HYL1, a protein involved in miRNA biogenesis in plants, raises the exciting possibility that the miRNA pathway existed in the common ancestor of plants and animals. Here I suggest to bring together an array of advanced biochemical and genetic methods such as gene knockdown, transgenesis, high throughput sequencing and immunoprecipitation in order to obtain - for the first time - a deep understanding of the biogenesis and mechanism of action of small RNAs in Cnidaria. This will provide a novel way to understand the evolution of this important molecular pathway and to evaluate its age and ancestral form.
Max ERC Funding
1 499 587 €
Duration
Start date: 2015-05-01, End date: 2020-04-30
Project acronym D-FENS
Project Dicer-Dependent Defense in Mammals
Researcher (PI) Petr Svoboda
Host Institution (HI) USTAV MOLEKULARNI GENETIKY AKADEMIE VED CESKE REPUBLIKY VEREJNA VYZKUMNA INSTITUCE
Call Details Consolidator Grant (CoG), LS2, ERC-2014-CoG
Summary Viral infection or retrotransposon expansion in the genome often result in production of double-stranded RNA (dsRNA). dsRNA can be intercepted by RNase III Dicer acting in the RNA interference (RNAi) pathway, an ancient eukaryotic defense mechanism. Notably, endogenous mammalian RNAi appears dormant while its common and unique physiological roles remain poorly understood. A factor underlying mammalian RNAi dormancy is inefficient processing of dsRNA by the full-length Dicer. Yet, a simple truncation of Dicer leads to hyperactive RNAi, which is naturally present in mouse oocytes.
The D-FENS project will use genetic animal models to define common, cell-specific and species-specific roles of mammalian RNAi. D-FENS has three complementary and synergizing objectives:
(1) Explore consequences of hyperactive RNAi in vivo. A mouse expressing a truncated Dicer will reveal at the organismal level any negative effect of hyperactive RNAi, the relationship between RNAi and mammalian immune system, and potential of RNAi to suppress viral infections in mammals.
(2) Define common and species-specific features of RNAi in the oocyte. Functional and bioinformatics analyses in mouse, bovine, and hamster oocytes will define rules and exceptions concerning endogenous RNAi roles, including RNAi contribution to maternal mRNA degradation and co-existence with the miRNA pathway.
(3) Uncover relationship between RNAi and piRNA pathways in suppression of retrotransposons. We hypothesize that hyperactive RNAi in mouse oocytes functionally complements the piRNA pathway, a Dicer-independent pathway suppressing retrotransposons in the germline. Using genetic models, we will explore unique and redundant roles of both pathways in the germline.
D-FENS will uncover physiological significance of the N-terminal part of Dicer, fundamentally improve understanding RNAi function in the germline, and provide a critical in vivo assessment of antiviral activity of RNAi with implications for human therapy.
Summary
Viral infection or retrotransposon expansion in the genome often result in production of double-stranded RNA (dsRNA). dsRNA can be intercepted by RNase III Dicer acting in the RNA interference (RNAi) pathway, an ancient eukaryotic defense mechanism. Notably, endogenous mammalian RNAi appears dormant while its common and unique physiological roles remain poorly understood. A factor underlying mammalian RNAi dormancy is inefficient processing of dsRNA by the full-length Dicer. Yet, a simple truncation of Dicer leads to hyperactive RNAi, which is naturally present in mouse oocytes.
The D-FENS project will use genetic animal models to define common, cell-specific and species-specific roles of mammalian RNAi. D-FENS has three complementary and synergizing objectives:
(1) Explore consequences of hyperactive RNAi in vivo. A mouse expressing a truncated Dicer will reveal at the organismal level any negative effect of hyperactive RNAi, the relationship between RNAi and mammalian immune system, and potential of RNAi to suppress viral infections in mammals.
(2) Define common and species-specific features of RNAi in the oocyte. Functional and bioinformatics analyses in mouse, bovine, and hamster oocytes will define rules and exceptions concerning endogenous RNAi roles, including RNAi contribution to maternal mRNA degradation and co-existence with the miRNA pathway.
(3) Uncover relationship between RNAi and piRNA pathways in suppression of retrotransposons. We hypothesize that hyperactive RNAi in mouse oocytes functionally complements the piRNA pathway, a Dicer-independent pathway suppressing retrotransposons in the germline. Using genetic models, we will explore unique and redundant roles of both pathways in the germline.
D-FENS will uncover physiological significance of the N-terminal part of Dicer, fundamentally improve understanding RNAi function in the germline, and provide a critical in vivo assessment of antiviral activity of RNAi with implications for human therapy.
Max ERC Funding
1 950 000 €
Duration
Start date: 2015-07-01, End date: 2020-06-30
Project acronym DUB-DECODE
Project Systematic Decoding of Deubiquitylase-Regulated Signaling Networks
Researcher (PI) Chuna Ram Choudhary
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Consolidator Grant (CoG), LS2, ERC-2014-CoG
Summary Cellular processes are largely governed by sophisticated protein posttranslational modification (PTM)-dependent signaling networks, and a systematic understanding of regulatory PTM-based networks is a key goal in modern biology. Ubiquitin is a small, evolutionarily conserved signaling protein that acts as a PTM after being covalently conjugated to other proteins. Reversible ubiquitylation forms the most versatile and largest eukaryote-exclusive signaling system, and regulates the stability and function of almost all proteins in cells. Deubiquitylases (DUBs) are ubiquitin-specific proteases that remove substrate-conjugated ubiquitin, and thereby regulate virtually all ubiquitylation-dependent signaling. Because of their central role in ubiquitin signaling, DUBs have essential functions in mammalian physiology and development, and the dysregulated expression and mutation of DUBs is frequently associated with human diseases. Despite their vital functions, very little is known about the proteins and ubiquitylation sites that are regulated by DUBs and this knowledge gap is hampering our understanding of the molecular mechanisms by which DUBs control diverse biological processes. Recently, we developed a mass spectrometry-based proteomics approach that allowed unbiased and site-specific quantification of ubiquitylation on a systems-wide scale. Here we propose to comprehensively investigate DUB-regulated ubiquitin signaling in human cells. We will integrate interdisciplinary approaches to develop next-generation cell models and innovative proteomic technologies to systematically decode DUB function in human cells. This will enable a novel and detailed understanding of DUB-regulated signaling networks, and open up new avenues for further research into the mechanisms and biological functions of ubiquitylation and of ubiquitin-like modifiers.
Summary
Cellular processes are largely governed by sophisticated protein posttranslational modification (PTM)-dependent signaling networks, and a systematic understanding of regulatory PTM-based networks is a key goal in modern biology. Ubiquitin is a small, evolutionarily conserved signaling protein that acts as a PTM after being covalently conjugated to other proteins. Reversible ubiquitylation forms the most versatile and largest eukaryote-exclusive signaling system, and regulates the stability and function of almost all proteins in cells. Deubiquitylases (DUBs) are ubiquitin-specific proteases that remove substrate-conjugated ubiquitin, and thereby regulate virtually all ubiquitylation-dependent signaling. Because of their central role in ubiquitin signaling, DUBs have essential functions in mammalian physiology and development, and the dysregulated expression and mutation of DUBs is frequently associated with human diseases. Despite their vital functions, very little is known about the proteins and ubiquitylation sites that are regulated by DUBs and this knowledge gap is hampering our understanding of the molecular mechanisms by which DUBs control diverse biological processes. Recently, we developed a mass spectrometry-based proteomics approach that allowed unbiased and site-specific quantification of ubiquitylation on a systems-wide scale. Here we propose to comprehensively investigate DUB-regulated ubiquitin signaling in human cells. We will integrate interdisciplinary approaches to develop next-generation cell models and innovative proteomic technologies to systematically decode DUB function in human cells. This will enable a novel and detailed understanding of DUB-regulated signaling networks, and open up new avenues for further research into the mechanisms and biological functions of ubiquitylation and of ubiquitin-like modifiers.
Max ERC Funding
1 972 570 €
Duration
Start date: 2015-10-01, End date: 2021-03-31
Project acronym DynaMech
Project Linking Transcription Factor Binding Dynamics to Promoter Output
Researcher (PI) Frank Charles Patrick Holstege
Host Institution (HI) PRINSES MAXIMA CENTRUM VOOR KINDERONCOLOGIE BV
Call Details Advanced Grant (AdG), LS2, ERC-2014-ADG
Summary "Transcription is a stepwise process that is inherently dynamic. Different types of transcription factors are continuously interacting off and onto DNA, ""searching"" for appropriate interactions - each bringing different functions into play. The rates with which these factors interact with chromatin, their association and dissociation rates, dictate the outcome of ""steady-state"", developmental and rapidly responsive regulatory programs. Given the central role of transcription factors in biology and disease, it is remarkable that we know next to nothing about the dynamics of transcription factor-chromatin interactions.
The objective of DynaMech is to implement technologies that will allow us to measure transcription factor binding dynamics (on- and off-rates) genome-wide, at binding site resolution. This will be applied to gain a systematic understanding of how these dynamics effect the function of transcription factors. Analyses will encompass components of the RNA polymerase II pre-initiation complex in yeast, as well as a comprehensive set of gene-specific transcription factors. For each of these factors we will determine the on- and off-rates genome-wide as well as the degree to which the mRNA synthesis rates from all promoters are dependent on the factor. This data will all be analysed in the context of nucleosome binding dynamics to understand the general principles of how chromatin-transcripton factor binding dynamics shape regulatory mechanisms. Through modelling promoter output and by additional perturbations, these principles will be explored to understand which properties of regulatory DNA determine differential transcription factor dynamics thereby causing differential promoter behaviour.
We are as yet far from predicting regulatory outcome from regulatory sequence. The long-term aim of this work is to bring this closer, by bringing into play the almost completely unexplored aspect of transcription factor-chromatin interaction dynamics.
"
Summary
"Transcription is a stepwise process that is inherently dynamic. Different types of transcription factors are continuously interacting off and onto DNA, ""searching"" for appropriate interactions - each bringing different functions into play. The rates with which these factors interact with chromatin, their association and dissociation rates, dictate the outcome of ""steady-state"", developmental and rapidly responsive regulatory programs. Given the central role of transcription factors in biology and disease, it is remarkable that we know next to nothing about the dynamics of transcription factor-chromatin interactions.
The objective of DynaMech is to implement technologies that will allow us to measure transcription factor binding dynamics (on- and off-rates) genome-wide, at binding site resolution. This will be applied to gain a systematic understanding of how these dynamics effect the function of transcription factors. Analyses will encompass components of the RNA polymerase II pre-initiation complex in yeast, as well as a comprehensive set of gene-specific transcription factors. For each of these factors we will determine the on- and off-rates genome-wide as well as the degree to which the mRNA synthesis rates from all promoters are dependent on the factor. This data will all be analysed in the context of nucleosome binding dynamics to understand the general principles of how chromatin-transcripton factor binding dynamics shape regulatory mechanisms. Through modelling promoter output and by additional perturbations, these principles will be explored to understand which properties of regulatory DNA determine differential transcription factor dynamics thereby causing differential promoter behaviour.
We are as yet far from predicting regulatory outcome from regulatory sequence. The long-term aim of this work is to bring this closer, by bringing into play the almost completely unexplored aspect of transcription factor-chromatin interaction dynamics.
"
Max ERC Funding
2 132 500 €
Duration
Start date: 2016-02-01, End date: 2021-01-31
Project acronym dynamicmodifications
Project Complexity and dynamics of nucleic acids modifications in vivo
Researcher (PI) Petra Hajkova
Host Institution (HI) IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Call Details Consolidator Grant (CoG), LS2, ERC-2014-CoG
Summary Development of any organism starts with a totipotent cell (zygote). Through series of cell divisions and differentiation processes this cell will eventually give rise to the whole organism containing hundreds of specialised cell. While the cells at the onset of development have the capacity to generate all cell types (ie are toti-or pluripotent), this developmental capacity is progressively lost as the cells undertake cell fate decisions. At the molecular level, the memory of these events is laid down in a complex layer of epigenetic modifications at both the DNA and the chromatin level. Unidirectional character of the developmental progress dictates that the key acquired epigenetic modifications are stable and inherited through subsequent cell divisions. This paradigm is, however, challenged during cellular reprogramming that requires de-differentiation (nuclear transfer, induced pluripotent stem cells, wound healing and regeneration in lower organisms) or a change in cell fate (transdifferentiation). Despite intense efforts of numerous research teams, the molecular mechanisms of these processes remain enigmatic.
In order to understand cellular reprogramming at the molecular level, this proposal takes advantage of epigenetic reprogramming processes that occur naturally during mouse development. By using mouse fertilised zygote and mouse developing primordial germ cells we will investigate novel molecular components implicated in the genome-wide erasure of DNA methylation. Additionally, by using a unique combination of the developmental models with the state of the art ultra-sensitive LC/MS and genomics approaches we propose to investigate the dynamics and the interplay between DNA and RNA modifications during these key periods of embryonic development characterised by genome-wide epigenetic changes . Our work will thus provide new fundamental insights into a complex dynamics and interactions between epigenetic modifications that underlie epigenetic reprogramming
Summary
Development of any organism starts with a totipotent cell (zygote). Through series of cell divisions and differentiation processes this cell will eventually give rise to the whole organism containing hundreds of specialised cell. While the cells at the onset of development have the capacity to generate all cell types (ie are toti-or pluripotent), this developmental capacity is progressively lost as the cells undertake cell fate decisions. At the molecular level, the memory of these events is laid down in a complex layer of epigenetic modifications at both the DNA and the chromatin level. Unidirectional character of the developmental progress dictates that the key acquired epigenetic modifications are stable and inherited through subsequent cell divisions. This paradigm is, however, challenged during cellular reprogramming that requires de-differentiation (nuclear transfer, induced pluripotent stem cells, wound healing and regeneration in lower organisms) or a change in cell fate (transdifferentiation). Despite intense efforts of numerous research teams, the molecular mechanisms of these processes remain enigmatic.
In order to understand cellular reprogramming at the molecular level, this proposal takes advantage of epigenetic reprogramming processes that occur naturally during mouse development. By using mouse fertilised zygote and mouse developing primordial germ cells we will investigate novel molecular components implicated in the genome-wide erasure of DNA methylation. Additionally, by using a unique combination of the developmental models with the state of the art ultra-sensitive LC/MS and genomics approaches we propose to investigate the dynamics and the interplay between DNA and RNA modifications during these key periods of embryonic development characterised by genome-wide epigenetic changes . Our work will thus provide new fundamental insights into a complex dynamics and interactions between epigenetic modifications that underlie epigenetic reprogramming
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-08-01, End date: 2020-07-31
Project acronym Enhancer ID
Project Identification and functional characterization of mammalian enhancers and transcriptional co-factors during cellular signaling and cell fate transitions
Researcher (PI) Alexander Stark
Host Institution (HI) FORSCHUNGSINSTITUT FUR MOLEKULARE PATHOLOGIE GESELLSCHAFT MBH
Call Details Consolidator Grant (CoG), LS2, ERC-2014-CoG
Summary A major goal in biology is to understand how gene regulatory information is encoded by the human genome and how it defines different gene expression programs and cell types. Enhancers are genomic elements that control transcription, yet despite their importance, only a minority of enhancers are known and functionally characterized. In particular, their activity changes during cellular signalling or cell type transitions are largely elusive. Furthermore, fundamental questions about transcriptional co-factors have remained unanswered even though they regulate enhancer activities and have become attractive therapeutic targets, e.g. for cancer treatment.
Here, I propose a functional genomics approach in mammalian cells with three specific objectives: First, we will identify and functionally characterize transcriptional enhancers in selected human and mouse cells using the recently developed quantitative enhancer activity assay STARR-seq. Second, we will determine enhancer activity changes quantitatively during steroid hormone signalling, cell differentiation, and malignant transformation to reveal enhancers that are important for these processes. Third, we will systematically dissect the functional relationship of enhancers and transcriptional co-factors.
This proposal uses emerging in-house technology to address fundamental questions in enhancer biology and complement the genome-wide profiling of gene expression and chromatin states (e.g. by ENCODE). We will gain insights into the genomic organization of active enhancers and reveal chromatin or sequence features associated with dynamic activity changes. I also expect that we will be able to define co-factor requirements for enhancer function and reveal if different types of enhancers exist. Given our expertise in experimental and computational approaches and STARR-seq, I anticipate that we reach our aims and make major contributions to the understanding of gene regulation in mammals.
Summary
A major goal in biology is to understand how gene regulatory information is encoded by the human genome and how it defines different gene expression programs and cell types. Enhancers are genomic elements that control transcription, yet despite their importance, only a minority of enhancers are known and functionally characterized. In particular, their activity changes during cellular signalling or cell type transitions are largely elusive. Furthermore, fundamental questions about transcriptional co-factors have remained unanswered even though they regulate enhancer activities and have become attractive therapeutic targets, e.g. for cancer treatment.
Here, I propose a functional genomics approach in mammalian cells with three specific objectives: First, we will identify and functionally characterize transcriptional enhancers in selected human and mouse cells using the recently developed quantitative enhancer activity assay STARR-seq. Second, we will determine enhancer activity changes quantitatively during steroid hormone signalling, cell differentiation, and malignant transformation to reveal enhancers that are important for these processes. Third, we will systematically dissect the functional relationship of enhancers and transcriptional co-factors.
This proposal uses emerging in-house technology to address fundamental questions in enhancer biology and complement the genome-wide profiling of gene expression and chromatin states (e.g. by ENCODE). We will gain insights into the genomic organization of active enhancers and reveal chromatin or sequence features associated with dynamic activity changes. I also expect that we will be able to define co-factor requirements for enhancer function and reveal if different types of enhancers exist. Given our expertise in experimental and computational approaches and STARR-seq, I anticipate that we reach our aims and make major contributions to the understanding of gene regulation in mammals.
Max ERC Funding
1 999 906 €
Duration
Start date: 2015-09-01, End date: 2021-07-31
Project acronym GV-FLU
Project A Genetic View of Influenza Infection
Researcher (PI) Irit Gat-Viks
Host Institution (HI) TEL AVIV UNIVERSITY
Call Details Starting Grant (StG), LS2, ERC-2014-STG
Summary Inherited variation in the quantity and functionality of immune cells plays a key role in determining phenotypic diversity between individuals. Surprisingly little is known, however, about the specific contribution of immune cell subsets to variation in phenotypes such as susceptibility to infectious diseases and the underlying genetic variation. In many complex diseases, we currently have a poor understanding of the driver cell types that are responsible for inherited variation in disease states. A comprehensive mapping of quantities and functions of immune cell types during the course of disease, in large cohorts, bears the potential to transform genetic research; provides understanding of the genetic and immune basis of phenotypes; and reveals the key driver cell subsets.
Here I aim to derive a mechanistic understanding of how variation in quantity and function of immune cell subsets mediates inherited variation in disease states. I propose to develop a computational model that integrates predicted quantities and functions of cell subsets with genotypic and phenotypic information, leading to specific hypotheses on physiological regulation and the particular cell subsets that drive phenotypic diversity. To circumvent the technical difficulty in quantifying a large number of immune cell types, I will profile gene expression and computationally quantify changes in a large number of cell types. I will develop and apply this strategy to dissect Influenza infection in mice.
Since changes in immune responses play a key role in complex diseases, our ability to predict variation in immune responses from genotypes would have important clinical implications. This project has far reaching implications as the paradigm developed here will transform quantitative genetics studies as well as systems immunology research of complex disease. This approach will be applicable to any mammalian disease, allowing researchers to dissect their own systems at unprecedented detail.
Summary
Inherited variation in the quantity and functionality of immune cells plays a key role in determining phenotypic diversity between individuals. Surprisingly little is known, however, about the specific contribution of immune cell subsets to variation in phenotypes such as susceptibility to infectious diseases and the underlying genetic variation. In many complex diseases, we currently have a poor understanding of the driver cell types that are responsible for inherited variation in disease states. A comprehensive mapping of quantities and functions of immune cell types during the course of disease, in large cohorts, bears the potential to transform genetic research; provides understanding of the genetic and immune basis of phenotypes; and reveals the key driver cell subsets.
Here I aim to derive a mechanistic understanding of how variation in quantity and function of immune cell subsets mediates inherited variation in disease states. I propose to develop a computational model that integrates predicted quantities and functions of cell subsets with genotypic and phenotypic information, leading to specific hypotheses on physiological regulation and the particular cell subsets that drive phenotypic diversity. To circumvent the technical difficulty in quantifying a large number of immune cell types, I will profile gene expression and computationally quantify changes in a large number of cell types. I will develop and apply this strategy to dissect Influenza infection in mice.
Since changes in immune responses play a key role in complex diseases, our ability to predict variation in immune responses from genotypes would have important clinical implications. This project has far reaching implications as the paradigm developed here will transform quantitative genetics studies as well as systems immunology research of complex disease. This approach will be applicable to any mammalian disease, allowing researchers to dissect their own systems at unprecedented detail.
Max ERC Funding
1 497 000 €
Duration
Start date: 2015-07-01, End date: 2021-06-30
Project acronym HAP-PHEN
Project From haplotype to phenotype: a systems integration of allelic variation, chromatin state and 3D genome data
Researcher (PI) Elzo De wit
Host Institution (HI) STICHTING HET NEDERLANDS KANKER INSTITUUT-ANTONI VAN LEEUWENHOEK ZIEKENHUIS
Call Details Starting Grant (StG), LS2, ERC-2014-STG
Summary High-throughput sequencing methods are breaching the barrier of $1000 per genome. This means that it will become feasible to sequence the genomes of many individual and create a deep catalog of the bulk of human genetic variation. A great task will lie in assigning function to all this genetic variation. Genome wide association studies have already shown that 40% of all loci significantly associated with disease are found in intergenic, supposedly regulatory regions. One of the current challenges in human genetics is that variants that affect expression on a single allele cannot be directly linked, because only have genotype information, rather then haplotype information. The overarching aim of the project is to resolve haplotypes in order to identify genetic variants that affect gene expression. We will do this in three sub-projects. In the first main project we will use 3D genome information gathered from Hi-C experiments to haplotype the genomes of six lymphoblastoid cell lines. We will integrate these data with chromatin profiling and RNAseq data in order to build integrative models for the prediction of gene expression and the effect of genetic variation on gene expression. In the second project we will perform haplotyping the breast cancer genes BRCA1/2 in a large cohort of individuals that come from families with a high-risk of hereditary breast cancer. Allelic imbalance in BRCA1/2 expression levels are known to be associated with an increased risk for breast cancer. We will aim to find genetic variants that are associated with a decreased allelic expression of BRCA1/2 to improve breast cancer risk assessment. Finally, we will develop a novel tool to study 3D genome organization of single alleles, which will allow us to identify how individual alleles are organized in the nucleus and identify multi-way interactions (i.e. involving more than two genomic loci). With this we hope to better understand how complex 3D organization contributes to gene regulation.
Summary
High-throughput sequencing methods are breaching the barrier of $1000 per genome. This means that it will become feasible to sequence the genomes of many individual and create a deep catalog of the bulk of human genetic variation. A great task will lie in assigning function to all this genetic variation. Genome wide association studies have already shown that 40% of all loci significantly associated with disease are found in intergenic, supposedly regulatory regions. One of the current challenges in human genetics is that variants that affect expression on a single allele cannot be directly linked, because only have genotype information, rather then haplotype information. The overarching aim of the project is to resolve haplotypes in order to identify genetic variants that affect gene expression. We will do this in three sub-projects. In the first main project we will use 3D genome information gathered from Hi-C experiments to haplotype the genomes of six lymphoblastoid cell lines. We will integrate these data with chromatin profiling and RNAseq data in order to build integrative models for the prediction of gene expression and the effect of genetic variation on gene expression. In the second project we will perform haplotyping the breast cancer genes BRCA1/2 in a large cohort of individuals that come from families with a high-risk of hereditary breast cancer. Allelic imbalance in BRCA1/2 expression levels are known to be associated with an increased risk for breast cancer. We will aim to find genetic variants that are associated with a decreased allelic expression of BRCA1/2 to improve breast cancer risk assessment. Finally, we will develop a novel tool to study 3D genome organization of single alleles, which will allow us to identify how individual alleles are organized in the nucleus and identify multi-way interactions (i.e. involving more than two genomic loci). With this we hope to better understand how complex 3D organization contributes to gene regulation.
Max ERC Funding
1 500 000 €
Duration
Start date: 2015-09-01, End date: 2020-08-31