Project acronym 100 Archaic Genomes
Project Genome sequences from extinct hominins
Researcher (PI) Svante PÄÄBO
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Advanced Grant (AdG), LS2, ERC-2015-AdG
Summary Neandertals and Denisovans, an Asian group distantly related to Neandertals, are the closest evolutionary relatives of present-day humans. They are thus of direct relevance for understanding the origin of modern humans and how modern humans differ from their closest relatives. We will generate genome-wide data from a large number of Neandertal and Denisovan individuals from across their geographical and temporal range as well as from other extinct hominin groups which we may discover. This will be possible by automating highly sensitive approaches to ancient DNA extraction and DNA libraries construction that we have developed so that they can be applied to many specimens from many sites in order to identify those that contain retrievable DNA. Whenever possible we will sequence whole genomes and in other cases use DNA capture methods to generate high-quality data from representative parts of the genome. This will allow us to study the population history of Neandertals and Denisovans, elucidate how many times and where these extinct hominins contributed genes to present-day people, and the extent to which modern humans and archaic groups contributed genetically to Neandertals and Denisovans. By retrieving DNA from specimens that go back to the Middle Pleistocene we will furthermore shed light on the early history and origins of Neandertals and Denisovans.
Summary
Neandertals and Denisovans, an Asian group distantly related to Neandertals, are the closest evolutionary relatives of present-day humans. They are thus of direct relevance for understanding the origin of modern humans and how modern humans differ from their closest relatives. We will generate genome-wide data from a large number of Neandertal and Denisovan individuals from across their geographical and temporal range as well as from other extinct hominin groups which we may discover. This will be possible by automating highly sensitive approaches to ancient DNA extraction and DNA libraries construction that we have developed so that they can be applied to many specimens from many sites in order to identify those that contain retrievable DNA. Whenever possible we will sequence whole genomes and in other cases use DNA capture methods to generate high-quality data from representative parts of the genome. This will allow us to study the population history of Neandertals and Denisovans, elucidate how many times and where these extinct hominins contributed genes to present-day people, and the extent to which modern humans and archaic groups contributed genetically to Neandertals and Denisovans. By retrieving DNA from specimens that go back to the Middle Pleistocene we will furthermore shed light on the early history and origins of Neandertals and Denisovans.
Max ERC Funding
2 350 000 €
Duration
Start date: 2016-11-01, End date: 2021-10-31
Project acronym ACCOMPLI
Project Assembly and maintenance of a co-regulated chromosomal compartment
Researcher (PI) Peter Burkhard Becker
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Advanced Grant (AdG), LS2, ERC-2011-ADG_20110310
Summary "Eukaryotic nuclei are organised into functional compartments, – local microenvironments that are enriched in certain molecules or biochemical activities and therefore specify localised functional outputs. Our study seeks to unveil fundamental principles of co-regulation of genes in a chromo¬somal compartment and the preconditions for homeostasis of such a compartment in the dynamic nuclear environment.
The dosage-compensated X chromosome of male Drosophila flies satisfies the criteria for a functional com¬partment. It is rendered structurally distinct from all other chromosomes by association of a regulatory ribonucleoprotein ‘Dosage Compensation Complex’ (DCC), enrichment of histone modifications and global decondensation. As a result, most genes on the X chromosome are co-ordinately activated. Autosomal genes inserted into the X acquire X-chromosomal features and are subject to the X-specific regulation.
We seek to uncover the molecular principles that initiate, establish and maintain the dosage-compensated chromosome. We will follow the kinetics of DCC assembly and the timing of association with different types of chromosomal targets in nuclei with high spatial resolution afforded by sub-wavelength microscopy and deep sequencing of DNA binding sites. We will characterise DCC sub-complexes with respect to their roles as kinetic assembly intermediates or as representations of local, functional heterogeneity. We will evaluate the roles of a DCC- novel ubiquitin ligase activity for homeostasis.
Crucial to the recruitment of the DCC and its distribution to target genes are non-coding roX RNAs that are transcribed from the X. We will determine the secondary structure ‘signatures’ of roX RNAs in vitro and determine the binding sites of the protein subunits in vivo. By biochemical and cellular reconstitution will test the hypothesis that roX-encoded RNA aptamers orchestrate the assembly of the DCC and contribute to the exquisite targeting of the complex."
Summary
"Eukaryotic nuclei are organised into functional compartments, – local microenvironments that are enriched in certain molecules or biochemical activities and therefore specify localised functional outputs. Our study seeks to unveil fundamental principles of co-regulation of genes in a chromo¬somal compartment and the preconditions for homeostasis of such a compartment in the dynamic nuclear environment.
The dosage-compensated X chromosome of male Drosophila flies satisfies the criteria for a functional com¬partment. It is rendered structurally distinct from all other chromosomes by association of a regulatory ribonucleoprotein ‘Dosage Compensation Complex’ (DCC), enrichment of histone modifications and global decondensation. As a result, most genes on the X chromosome are co-ordinately activated. Autosomal genes inserted into the X acquire X-chromosomal features and are subject to the X-specific regulation.
We seek to uncover the molecular principles that initiate, establish and maintain the dosage-compensated chromosome. We will follow the kinetics of DCC assembly and the timing of association with different types of chromosomal targets in nuclei with high spatial resolution afforded by sub-wavelength microscopy and deep sequencing of DNA binding sites. We will characterise DCC sub-complexes with respect to their roles as kinetic assembly intermediates or as representations of local, functional heterogeneity. We will evaluate the roles of a DCC- novel ubiquitin ligase activity for homeostasis.
Crucial to the recruitment of the DCC and its distribution to target genes are non-coding roX RNAs that are transcribed from the X. We will determine the secondary structure ‘signatures’ of roX RNAs in vitro and determine the binding sites of the protein subunits in vivo. By biochemical and cellular reconstitution will test the hypothesis that roX-encoded RNA aptamers orchestrate the assembly of the DCC and contribute to the exquisite targeting of the complex."
Max ERC Funding
2 482 770 €
Duration
Start date: 2012-02-01, End date: 2017-01-31
Project acronym BRAIN-MATCH
Project Matching CNS Lineage Maps with Molecular Brain Tumor Portraits for Translational Exploitation
Researcher (PI) Stefan PFISTER
Host Institution (HI) DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG
Call Details Consolidator Grant (CoG), LS2, ERC-2018-COG
Summary Brain tumors represent an extremely heterogeneous group of more than 100 different molecularly distinct diseases, many of which are still almost uniformly lethal despite five decades of clinical trials. In contrast to hematologic malignancies and carcinomas, the cell-of-origin for the vast majority of these entities is unknown. This knowledge gap currently precludes a comprehensive understanding of tumor biology and also limits translational exploitation (e.g., utilizing lineage targets for novel therapies and circulating brain tumor cells for liquid biopsies).
The BRAIN-MATCH project represents an ambitious program to address this challenge and unmet medical need by taking an approach that (i) extensively utilizes existing molecular profiles of more than 30,000 brain tumor samples covering more than 100 different entities, publicly available single-cell sequencing data of normal brain regions, and bulk normal tissue data at different times of development across different species; (ii) generates unprecedented maps of normal human CNS development by using state-of-the art novel technologies; (iii) matches these molecular portraits of normal cell types with tumor datasets in order to identify specific cell-of-origin populations for individual tumor entities; and (iv) validates the most promising cell-of-origin populations and tumor-specific lineage and/or surface markers in vivo.
The expected outputs of BRAIN-MATCH are four-fold: (i) delivery of an unprecedented atlas of human normal CNS development, which will also be of great relevance for diverse fields other than cancer; (ii) functional validation of at least three lineage targets; (iii) isolation and molecular characterization of circulating brain tumor cells from patients´ blood for at least five tumor entities; and (iv) generation of at least three novel mouse models of brain tumor entities for which currently no faithful models exist.
Summary
Brain tumors represent an extremely heterogeneous group of more than 100 different molecularly distinct diseases, many of which are still almost uniformly lethal despite five decades of clinical trials. In contrast to hematologic malignancies and carcinomas, the cell-of-origin for the vast majority of these entities is unknown. This knowledge gap currently precludes a comprehensive understanding of tumor biology and also limits translational exploitation (e.g., utilizing lineage targets for novel therapies and circulating brain tumor cells for liquid biopsies).
The BRAIN-MATCH project represents an ambitious program to address this challenge and unmet medical need by taking an approach that (i) extensively utilizes existing molecular profiles of more than 30,000 brain tumor samples covering more than 100 different entities, publicly available single-cell sequencing data of normal brain regions, and bulk normal tissue data at different times of development across different species; (ii) generates unprecedented maps of normal human CNS development by using state-of-the art novel technologies; (iii) matches these molecular portraits of normal cell types with tumor datasets in order to identify specific cell-of-origin populations for individual tumor entities; and (iv) validates the most promising cell-of-origin populations and tumor-specific lineage and/or surface markers in vivo.
The expected outputs of BRAIN-MATCH are four-fold: (i) delivery of an unprecedented atlas of human normal CNS development, which will also be of great relevance for diverse fields other than cancer; (ii) functional validation of at least three lineage targets; (iii) isolation and molecular characterization of circulating brain tumor cells from patients´ blood for at least five tumor entities; and (iv) generation of at least three novel mouse models of brain tumor entities for which currently no faithful models exist.
Max ERC Funding
1 999 875 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym CANCERBIOME
Project Cancerbiome: Characterization of the cancer-associated microbiome
Researcher (PI) Peer Bork
Host Institution (HI) EUROPEAN MOLECULAR BIOLOGY LABORATORY
Call Details Advanced Grant (AdG), LS2, ERC-2010-AdG_20100317
Summary Deep environmental sequencing (metagenomics) will be used to characterize microbial communities associated with 3 different cancer types: cervical cancer, oral squamous cell carcinoma and colorectal cancer. For all 3 types, non-invasive molecular diagnostics and prognostics are feasible via utilization of vaginal, oral and faecal samples, respectively. The project consequently aims to identify microbial markers in these ¿readouts¿ that correlate with cancer presence or progression. Microbial markers can be individual species or specific community compositions, but also particular genes or pathways. The microbial communities will be sampled locally at tumor surfaces and in healthy control tissues. After DNA extraction and sequencing, a complex bioinformatics pipeline will be developed to characterise the microbiomes and to identify the cancer-specific functional and phylogenetic markers therein. For colorectal cancer, the project intends to go into more details in that it tries i) to establish a correlation of microbiota with cancer progression and it ii) explores differences between distinct cancer subtypes. For each of the 3 cancer types, at least two samples from 40 individuals will be sequenced (as well as controls) at a depth of at least 5Gb each using Illumina technology. This is expected to be sufficient for the identification of microbial markers and also allows superficial genotyping of the individuals at ca 2-3x coverage as a by-product (the samples will contain considerable amounts of human DNA). Further analyses will be designed to study the potential of certain microbial species or community compositions to enhance or even cause one or more of the 3 cancers. The discovery of such causations will open up research towards directed antimicrobial treatment.
Summary
Deep environmental sequencing (metagenomics) will be used to characterize microbial communities associated with 3 different cancer types: cervical cancer, oral squamous cell carcinoma and colorectal cancer. For all 3 types, non-invasive molecular diagnostics and prognostics are feasible via utilization of vaginal, oral and faecal samples, respectively. The project consequently aims to identify microbial markers in these ¿readouts¿ that correlate with cancer presence or progression. Microbial markers can be individual species or specific community compositions, but also particular genes or pathways. The microbial communities will be sampled locally at tumor surfaces and in healthy control tissues. After DNA extraction and sequencing, a complex bioinformatics pipeline will be developed to characterise the microbiomes and to identify the cancer-specific functional and phylogenetic markers therein. For colorectal cancer, the project intends to go into more details in that it tries i) to establish a correlation of microbiota with cancer progression and it ii) explores differences between distinct cancer subtypes. For each of the 3 cancer types, at least two samples from 40 individuals will be sequenced (as well as controls) at a depth of at least 5Gb each using Illumina technology. This is expected to be sufficient for the identification of microbial markers and also allows superficial genotyping of the individuals at ca 2-3x coverage as a by-product (the samples will contain considerable amounts of human DNA). Further analyses will be designed to study the potential of certain microbial species or community compositions to enhance or even cause one or more of the 3 cancers. The discovery of such causations will open up research towards directed antimicrobial treatment.
Max ERC Funding
2 233 740 €
Duration
Start date: 2011-07-01, End date: 2016-06-30
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 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 CHROMOTHRIPSIS
Project Dissecting the Molecular Mechanism of Catastrophic DNA Rearrangement in Cancer
Researcher (PI) Jan Oliver Korbel
Host Institution (HI) EUROPEAN MOLECULAR BIOLOGY LABORATORY
Call Details Starting Grant (StG), LS2, ERC-2013-StG
Summary Recent cancer genome analyses have led to the discovery of a process involving massive genome structural rearrangement (SR) formation in a one-step, cataclysmic event, coined chromothripsis. The term chromothripsis (chromo from chromosome; thripsis for shattering into pieces) stands for a hypothetical process in which individual chromosomes are pulverised, resulting in a multitude of fragments, some of which are lost to the cell whereas others are erroneously rejoined. Compelling evidence was presented that chromothripsis plays a crucial role in the development, or progression of a notable subset of human cancers – thus, tumorigensis models involving gradual acquisitions of alterations may need to be revised in these cancers.
Presently, chromothripsis lacks a mechanistic basis. We recently showed that in childhood medulloblastoma brain tumours driven by Sonic Hedgehog (Shh) signalling, chromothripsis is linked with predisposing TP53 mutations. Thus, rather than occurring in isolation, chromothripsis appears to be prone to happen in conjunction with (or instigated by) gradually acquired alterations, or in the context of active signalling pathways, the inference of which may lead to further mechanistic insights. Using such rationale, I propose to dissect the mechanism behind chromothripsis using interdisciplinary approaches. First, we will develop a computational approach to accurately detect chromothripsis. Second, we will use this approach to link chromothripsis with novel factors and contexts. Third, we will develop highly controllable cell line-based systems to test concrete mechanistic hypotheses, thereby taking into account our data on linked factors and contexts. Fourth, we will generate transcriptome data to monitor pathways involved in inducing chromothripsis, and such involved in coping with the massive SRs occurring. We will also combine findings from all these approaches to build a comprehensive model of chromothripsis and its associated pathways.
Summary
Recent cancer genome analyses have led to the discovery of a process involving massive genome structural rearrangement (SR) formation in a one-step, cataclysmic event, coined chromothripsis. The term chromothripsis (chromo from chromosome; thripsis for shattering into pieces) stands for a hypothetical process in which individual chromosomes are pulverised, resulting in a multitude of fragments, some of which are lost to the cell whereas others are erroneously rejoined. Compelling evidence was presented that chromothripsis plays a crucial role in the development, or progression of a notable subset of human cancers – thus, tumorigensis models involving gradual acquisitions of alterations may need to be revised in these cancers.
Presently, chromothripsis lacks a mechanistic basis. We recently showed that in childhood medulloblastoma brain tumours driven by Sonic Hedgehog (Shh) signalling, chromothripsis is linked with predisposing TP53 mutations. Thus, rather than occurring in isolation, chromothripsis appears to be prone to happen in conjunction with (or instigated by) gradually acquired alterations, or in the context of active signalling pathways, the inference of which may lead to further mechanistic insights. Using such rationale, I propose to dissect the mechanism behind chromothripsis using interdisciplinary approaches. First, we will develop a computational approach to accurately detect chromothripsis. Second, we will use this approach to link chromothripsis with novel factors and contexts. Third, we will develop highly controllable cell line-based systems to test concrete mechanistic hypotheses, thereby taking into account our data on linked factors and contexts. Fourth, we will generate transcriptome data to monitor pathways involved in inducing chromothripsis, and such involved in coping with the massive SRs occurring. We will also combine findings from all these approaches to build a comprehensive model of chromothripsis and its associated pathways.
Max ERC Funding
1 471 964 €
Duration
Start date: 2014-04-01, End date: 2019-01-31
Project acronym CISREGVAR
Project Cis-regulatory variation: Using natural genetic variation to dissect cis-regulatory control of embryonic development
Researcher (PI) Eileen Eunice Furlong
Host Institution (HI) EUROPEAN MOLECULAR BIOLOGY LABORATORY
Call Details Advanced Grant (AdG), LS2, ERC-2012-ADG_20120314
Summary Embryonic development is very robust: In the midst of segregating mutations and fluctuating environments, a fertilized egg has the remarkable capacity to give rise to a precisely patterned embryo. The stereotypic progression of development is driven by tightly regulated programs of gene expression. However, this deterministic view from genetics is at odds with an emerging view of transcription from genomics as a “noisy” process, variable and changing both within and between individuals. How variable transcriptional programs can regulate robust embryonic development remains a long-standing question, which this proposal aims to address. By combining population genetics, genomics, and developmental genetics in Drosophila we will dissect the relationship between DNA sequence variation, transcription factor (TF) occupancy, and the regulatory control of developmental gene expression.
The backdrop for this work is extensive information generated by my lab on the location and function of over 12,000 developmental cis-regulatory elements, including accurate, predictive models of their spatio-temporal activity. To understand the impact of variation on transcription and development, we will make use of a powerful experimental resource – 192 sequenced Drosophila strains, collected from a highly genetically diverse wild population. The proposed research has three Specific Aims: 1) Perform the first high-resolution study associating SNPs and structural variants (eQTLs) with gene expression variation during embryonic development, 2) Quantify in vivo the relationship between cis-regulatory variation, TF occupancy, and gene expression, 3) Incorporate these data into an integrated, predictive model of transcription. These Aims, together with our cis-regulatory data, will offer unique, mechanistic insights into how cis-regulatory variation impacts developmental gene regulation, and into the molecular bases of robustness in developmental regulatory networks.
Summary
Embryonic development is very robust: In the midst of segregating mutations and fluctuating environments, a fertilized egg has the remarkable capacity to give rise to a precisely patterned embryo. The stereotypic progression of development is driven by tightly regulated programs of gene expression. However, this deterministic view from genetics is at odds with an emerging view of transcription from genomics as a “noisy” process, variable and changing both within and between individuals. How variable transcriptional programs can regulate robust embryonic development remains a long-standing question, which this proposal aims to address. By combining population genetics, genomics, and developmental genetics in Drosophila we will dissect the relationship between DNA sequence variation, transcription factor (TF) occupancy, and the regulatory control of developmental gene expression.
The backdrop for this work is extensive information generated by my lab on the location and function of over 12,000 developmental cis-regulatory elements, including accurate, predictive models of their spatio-temporal activity. To understand the impact of variation on transcription and development, we will make use of a powerful experimental resource – 192 sequenced Drosophila strains, collected from a highly genetically diverse wild population. The proposed research has three Specific Aims: 1) Perform the first high-resolution study associating SNPs and structural variants (eQTLs) with gene expression variation during embryonic development, 2) Quantify in vivo the relationship between cis-regulatory variation, TF occupancy, and gene expression, 3) Incorporate these data into an integrated, predictive model of transcription. These Aims, together with our cis-regulatory data, will offer unique, mechanistic insights into how cis-regulatory variation impacts developmental gene regulation, and into the molecular bases of robustness in developmental regulatory networks.
Max ERC Funding
2 260 116 €
Duration
Start date: 2013-09-01, End date: 2018-08-31
Project acronym COMMOTS
Project Communication Motifs: Principles of bacterial communication in non-genetically diversified populations
Researcher (PI) Ilka Bischofs-Pfeifer
Host Institution (HI) RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Call Details Starting Grant (StG), LS2, ERC-2010-StG_20091118
Summary Cell-to-cell communication is a central aspect for understanding how cells form and organize multi-cellular communities involving progressive cell specialization. Multi-cellularity cell specialization cell communication those keywords are frequently used to distinguish metazoans from bacteria. Yet bacteria can form morphologically complex multi-cellular communities, they can non-genetically diversify and they can communicate. This implies that even prokaryotic networks must possess the properties to facilitate these complex functions. Thus basic network features ( motifs ) determining these functions can be discovered and characterized from studying simpler bacterial networks. We want to focus on communication motifs that are present in the gene-regulatory network of Bacillus subtilis. Our proposed methodology involves a combination of quantitative fluorescence microscopy techniques (QFTLM, FRET), developmental assays, signal transduction studies in controlled micro-environments and information theory to quantitatively characterize communication motifs..
Summary
Cell-to-cell communication is a central aspect for understanding how cells form and organize multi-cellular communities involving progressive cell specialization. Multi-cellularity cell specialization cell communication those keywords are frequently used to distinguish metazoans from bacteria. Yet bacteria can form morphologically complex multi-cellular communities, they can non-genetically diversify and they can communicate. This implies that even prokaryotic networks must possess the properties to facilitate these complex functions. Thus basic network features ( motifs ) determining these functions can be discovered and characterized from studying simpler bacterial networks. We want to focus on communication motifs that are present in the gene-regulatory network of Bacillus subtilis. Our proposed methodology involves a combination of quantitative fluorescence microscopy techniques (QFTLM, FRET), developmental assays, signal transduction studies in controlled micro-environments and information theory to quantitatively characterize communication motifs..
Max ERC Funding
1 496 840 €
Duration
Start date: 2011-09-01, End date: 2016-08-31
Project acronym COMPLEX_TRAITS
Project High-throughput dissection of the genetics underlying complex traits
Researcher (PI) Lars Steinmetz
Host Institution (HI) EUROPEAN MOLECULAR BIOLOGY LABORATORY
Call Details Advanced Grant (AdG), LS2, ERC-2011-ADG_20110310
Summary The vast majority of genetic diseases are complex traits, conditioned by multiple genetic and environmental factors. Yet our understanding of the genetics underlying such traits in humans remains extremely limited, due largely to the statistical complexity of inferring the effects of allelic variants in a genetically diverse population. Novel tools for the dissection of the genetic architecture of complex traits, therefore, can be most effectively developed in model organisms, where the contribution of individual alleles can be quantitatively determined in controlled genetic backgrounds. We have previously established the yeast Saccharomyces cerevisiae as a model for complex traits by unravelling complex genetic architectures that govern quantitative phenotypes in this organism. We achieved this by pioneering approaches that have revealed crucial information about the complexity of the underlying genetics. Here we propose to advance to the next level of complex trait dissection by developing systematic, genome-wide technologies that aim to identify all of the variants underlying a complex trait in a single step. In particular, we will investigate traits involved in mitochondrial function, which are both clinically relevant and highly conserved in yeast. Our combination of genomic technologies will allow us to: 1) systematically detect, with maximal sensitivity, the majority of genetic variants (coding and non-coding) that condition these traits; 2) quantify the contributions of these variants and their interactions; and 3) evaluate the strengths and limitations of current methods for dissecting complex traits. Taken together, our research will yield fundamental insights into the genetic complexity of multifactorial traits, providing valuable lessons and establishing novel genomic tools that will facilitate the investigation of complex diseases.
Summary
The vast majority of genetic diseases are complex traits, conditioned by multiple genetic and environmental factors. Yet our understanding of the genetics underlying such traits in humans remains extremely limited, due largely to the statistical complexity of inferring the effects of allelic variants in a genetically diverse population. Novel tools for the dissection of the genetic architecture of complex traits, therefore, can be most effectively developed in model organisms, where the contribution of individual alleles can be quantitatively determined in controlled genetic backgrounds. We have previously established the yeast Saccharomyces cerevisiae as a model for complex traits by unravelling complex genetic architectures that govern quantitative phenotypes in this organism. We achieved this by pioneering approaches that have revealed crucial information about the complexity of the underlying genetics. Here we propose to advance to the next level of complex trait dissection by developing systematic, genome-wide technologies that aim to identify all of the variants underlying a complex trait in a single step. In particular, we will investigate traits involved in mitochondrial function, which are both clinically relevant and highly conserved in yeast. Our combination of genomic technologies will allow us to: 1) systematically detect, with maximal sensitivity, the majority of genetic variants (coding and non-coding) that condition these traits; 2) quantify the contributions of these variants and their interactions; and 3) evaluate the strengths and limitations of current methods for dissecting complex traits. Taken together, our research will yield fundamental insights into the genetic complexity of multifactorial traits, providing valuable lessons and establishing novel genomic tools that will facilitate the investigation of complex diseases.
Max ERC Funding
2 499 821 €
Duration
Start date: 2012-11-01, End date: 2017-10-31