Project acronym 100 Archaic Genomes
Project Genome sequences from extinct hominins
Researcher (PI) Svante PaeaeBO
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Country Germany
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 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
Country France
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 ACCOMPLI
Project Assembly and maintenance of a co-regulated chromosomal compartment
Researcher (PI) Peter Burkhard Becker
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Country Germany
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 AnoPath
Project Genetics of mosquito resistance to pathogens
Researcher (PI) Kenneth Du Souchet Vernick
Host Institution (HI) INSTITUT PASTEUR
Country France
Call Details Advanced Grant (AdG), LS2, ERC-2012-ADG_20120314
Summary Malaria parasite infection in humans has been called “the strongest known force for evolutionary selection in the recent history of the human genome”, and I hypothesize that a similar statement may apply to the mosquito vector, which is the definitive host of the malaria parasite. We previously discovered efficient malaria-resistance mechanisms in natural populations of the African malaria vector, Anopheles gambiae. Aim 1 of the proposed project will implement a novel genetic mapping design to systematically survey the mosquito population for common and rare genetic variants of strong effect against the human malaria parasite, Plasmodium falciparum. A product of the mapping design will be living mosquito families carrying the resistance loci. Aim 2 will use the segregating families to functionally dissect the underlying molecular mechanisms controlled by the loci, including determination of the pathogen specificity spectra of the host-defense traits. Aim 3 targets arbovirus transmission, where Anopheles mosquitoes transmit human malaria but not arboviruses such as Dengue and Chikungunya, even though the two mosquitoes bite the same people and are exposed to the same pathogens, often in malaria-arbovirus co-infections. We will use deep-sequencing to detect processing of the arbovirus dsRNA intermediates of replication produced by the RNAi pathway of the mosquitoes. The results will reveal important new information about differences in the efficiency and quality of the RNAi response between mosquitoes, which is likely to underlie at least part of the host specificity of arbovirus transmission. The 3 Aims will make significant contributions to understanding malaria and arbovirus transmission, major global public health problems, will aid the development of a next generation of vector surveillance and control tools, and will produce a definitive description of the major genetic factors influencing host-pathogen interactions in mosquito immunity.
Summary
Malaria parasite infection in humans has been called “the strongest known force for evolutionary selection in the recent history of the human genome”, and I hypothesize that a similar statement may apply to the mosquito vector, which is the definitive host of the malaria parasite. We previously discovered efficient malaria-resistance mechanisms in natural populations of the African malaria vector, Anopheles gambiae. Aim 1 of the proposed project will implement a novel genetic mapping design to systematically survey the mosquito population for common and rare genetic variants of strong effect against the human malaria parasite, Plasmodium falciparum. A product of the mapping design will be living mosquito families carrying the resistance loci. Aim 2 will use the segregating families to functionally dissect the underlying molecular mechanisms controlled by the loci, including determination of the pathogen specificity spectra of the host-defense traits. Aim 3 targets arbovirus transmission, where Anopheles mosquitoes transmit human malaria but not arboviruses such as Dengue and Chikungunya, even though the two mosquitoes bite the same people and are exposed to the same pathogens, often in malaria-arbovirus co-infections. We will use deep-sequencing to detect processing of the arbovirus dsRNA intermediates of replication produced by the RNAi pathway of the mosquitoes. The results will reveal important new information about differences in the efficiency and quality of the RNAi response between mosquitoes, which is likely to underlie at least part of the host specificity of arbovirus transmission. The 3 Aims will make significant contributions to understanding malaria and arbovirus transmission, major global public health problems, will aid the development of a next generation of vector surveillance and control tools, and will produce a definitive description of the major genetic factors influencing host-pathogen interactions in mosquito immunity.
Max ERC Funding
2 307 800 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
Project acronym BATESON
Project Dissecting genotype-phenotype relationships using high-throughput genomics and carefully selected study populations
Researcher (PI) Leif Andersson
Host Institution (HI) UPPSALA UNIVERSITET
Country Sweden
Call Details Advanced Grant (AdG), LS2, ERC-2011-ADG_20110310
Summary A major aim in genome research is to reveal how genetic variation affects phenotypic variation. Here I propose to use high-throughput genomics (whole genome sequencing, transcriptome and epigenome analysis) to screen carefully selected study populations where the chances are particularly favourable to obtain novel insight into genotype-phenotype relationships. The ambition is to take discoveries all the way from phenotypic characterization to the identification of the genes and the actual genetic variant causing a phenotypic effect and to understanding the underlying functional mechanisms. The program will involve a fish (the Atlantic herring), a bird (the domestic chicken) and a mammal (the European rabbit). The Atlantic herring will be studied because it provides unique opportunities to study the genetics of adaptation in a natural population and because of the possibilities to revolutionize the fishery management of this economically important marine fish. We will generate a draft assembly of the herring genome and then perform whole genome resequencing of different populations to reveal the population structure and the loci underlying genetic adaptation. The European rabbit is an excellent model for studying the genetics of speciation due to the presence of two distinct subspecies on the Iberian Peninsula. The domestication of the rabbit is also particularly interesting because it is a recent event (about 1500 years ago) and it is well established that domestication happened from the wild rabbit population in southern France. Finally, the domestic chicken provides excellent opportunities for in depth functional studies since it is both a domestic animal harbouring a rich genetic diversity and an experimental organism.
(BATESON is the acronym for this proposal because Bateson (1902) pioneered the study of genotype-phenotype relationships in animals and used the chicken for this work.)
Summary
A major aim in genome research is to reveal how genetic variation affects phenotypic variation. Here I propose to use high-throughput genomics (whole genome sequencing, transcriptome and epigenome analysis) to screen carefully selected study populations where the chances are particularly favourable to obtain novel insight into genotype-phenotype relationships. The ambition is to take discoveries all the way from phenotypic characterization to the identification of the genes and the actual genetic variant causing a phenotypic effect and to understanding the underlying functional mechanisms. The program will involve a fish (the Atlantic herring), a bird (the domestic chicken) and a mammal (the European rabbit). The Atlantic herring will be studied because it provides unique opportunities to study the genetics of adaptation in a natural population and because of the possibilities to revolutionize the fishery management of this economically important marine fish. We will generate a draft assembly of the herring genome and then perform whole genome resequencing of different populations to reveal the population structure and the loci underlying genetic adaptation. The European rabbit is an excellent model for studying the genetics of speciation due to the presence of two distinct subspecies on the Iberian Peninsula. The domestication of the rabbit is also particularly interesting because it is a recent event (about 1500 years ago) and it is well established that domestication happened from the wild rabbit population in southern France. Finally, the domestic chicken provides excellent opportunities for in depth functional studies since it is both a domestic animal harbouring a rich genetic diversity and an experimental organism.
(BATESON is the acronym for this proposal because Bateson (1902) pioneered the study of genotype-phenotype relationships in animals and used the chicken for this work.)
Max ERC Funding
2 300 000 €
Duration
Start date: 2012-05-01, End date: 2017-04-30
Project acronym BEEHIVE
Project Bridging the Evolution and Epidemiology of HIV in Europe
Researcher (PI) Christopher Fraser
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Country United Kingdom
Call Details Advanced Grant (AdG), LS2, ERC-2013-ADG
Summary The aim of the BEEHIVE project is to generate novel insight into HIV biology, evolution and epidemiology, leveraging next-generation high-throughput sequencing and bioinformatics to produce and analyse whole-genomes of viruses from approximately 3,000 European HIV-1 infected patients. These patients have known dates of infection spread over the last 25 years, good clinical follow up, and a wide range of clinical prognostic indicators and outcomes. The primary objective is to discover the viral genetic determinants of severity of infection and set-point viral load. This primary objective is high-risk & blue-skies: there is ample indirect evidence of polymorphisms that alter virulence, but they have never been identified, and it is not known how easy they are to discover. However, the project is also high-reward: it could lead to a substantial shift in the understanding of HIV disease.
Technologically, the BEEHIVE project will deliver new approaches for undertaking whole genome association studies on RNA viruses, including delivering an innovative high-throughput bioinformatics pipeline for handling genetically diverse viral quasi-species data (with viral diversity both within and between infected patients).
The project also includes secondary and tertiary objectives that address critical open questions in HIV epidemiology and evolution. The secondary objective is to use viral genetic sequences allied to mathematical epidemic models to better understand the resurgent European epidemic amongst high-risk groups, especially men who have sex with men. The aim will not just be to establish who is at risk of infection, which is known from conventional epidemiological approaches, but also to characterise the risk factors for onwards transmission of the virus. Tertiary objectives involve understanding the relationship between the genetic diversity within viral samples, indicative of on-going evolution or dual infections, to clinical outcomes.
Summary
The aim of the BEEHIVE project is to generate novel insight into HIV biology, evolution and epidemiology, leveraging next-generation high-throughput sequencing and bioinformatics to produce and analyse whole-genomes of viruses from approximately 3,000 European HIV-1 infected patients. These patients have known dates of infection spread over the last 25 years, good clinical follow up, and a wide range of clinical prognostic indicators and outcomes. The primary objective is to discover the viral genetic determinants of severity of infection and set-point viral load. This primary objective is high-risk & blue-skies: there is ample indirect evidence of polymorphisms that alter virulence, but they have never been identified, and it is not known how easy they are to discover. However, the project is also high-reward: it could lead to a substantial shift in the understanding of HIV disease.
Technologically, the BEEHIVE project will deliver new approaches for undertaking whole genome association studies on RNA viruses, including delivering an innovative high-throughput bioinformatics pipeline for handling genetically diverse viral quasi-species data (with viral diversity both within and between infected patients).
The project also includes secondary and tertiary objectives that address critical open questions in HIV epidemiology and evolution. The secondary objective is to use viral genetic sequences allied to mathematical epidemic models to better understand the resurgent European epidemic amongst high-risk groups, especially men who have sex with men. The aim will not just be to establish who is at risk of infection, which is known from conventional epidemiological approaches, but also to characterise the risk factors for onwards transmission of the virus. Tertiary objectives involve understanding the relationship between the genetic diversity within viral samples, indicative of on-going evolution or dual infections, to clinical outcomes.
Max ERC Funding
2 499 739 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym BIGGER
Project Biophysics in gene regulation - A genome wide approach
Researcher (PI) Johan Elf
Host Institution (HI) UPPSALA UNIVERSITET
Country Sweden
Call Details Advanced Grant (AdG), LS2, ERC-2019-ADG
Summary In this project, we will develop and use technology that combines synthetic genomics and live-cell imaging. These methods make it possible to study the intracellular biophysics at single-molecule detail in thousands of genetically different bacterial strains in parallel. Our approach is based on in situ genotyping of a barcoded strain library after phenotyping has been performed by live-cell imaging. Within the scope of the proposed project, the new technology will be used to solve mechanistic and structural questions of the bacterial cell cycle.
To this end, we will explore two parallel but complementary applications. In the first application, we will determine the dynamic 3D structure of the E. coli chromosome at 1kb resolution throughout the cell cycle. The structure determination can be seen as a live-cell version of chromatin conformation capture, where we will follow the 3D distances of 10 000 pairs of chromosomal loci over the cell cycle at high resolution. In the second application, we will make a complete CRISPRi knockdown strain library where we can follow the replication forks of the E. coli chromosome and septum formation over the cell cycle in individual cells. Using this strategy, we will resolve how individual gene products contribute to the cell-to-cell accuracy in replication initiation and cell division. In particular, this approach allows us to address the challenging question of size sensing at replication initiation. How the cell can decide that it is large enough to initiate replication is still an open question despite decades of investigations.
The general principles for high-end imaging of pool-synthesized cell libraries have nearly unlimited applications throughout cell biology. The specific applications explored in this project will take the understanding of the bacterial cell cycle to a new level and answer general questions about the chromosomal organization and cell size sensing.
Summary
In this project, we will develop and use technology that combines synthetic genomics and live-cell imaging. These methods make it possible to study the intracellular biophysics at single-molecule detail in thousands of genetically different bacterial strains in parallel. Our approach is based on in situ genotyping of a barcoded strain library after phenotyping has been performed by live-cell imaging. Within the scope of the proposed project, the new technology will be used to solve mechanistic and structural questions of the bacterial cell cycle.
To this end, we will explore two parallel but complementary applications. In the first application, we will determine the dynamic 3D structure of the E. coli chromosome at 1kb resolution throughout the cell cycle. The structure determination can be seen as a live-cell version of chromatin conformation capture, where we will follow the 3D distances of 10 000 pairs of chromosomal loci over the cell cycle at high resolution. In the second application, we will make a complete CRISPRi knockdown strain library where we can follow the replication forks of the E. coli chromosome and septum formation over the cell cycle in individual cells. Using this strategy, we will resolve how individual gene products contribute to the cell-to-cell accuracy in replication initiation and cell division. In particular, this approach allows us to address the challenging question of size sensing at replication initiation. How the cell can decide that it is large enough to initiate replication is still an open question despite decades of investigations.
The general principles for high-end imaging of pool-synthesized cell libraries have nearly unlimited applications throughout cell biology. The specific applications explored in this project will take the understanding of the bacterial cell cycle to a new level and answer general questions about the chromosomal organization and cell size sensing.
Max ERC Funding
2 411 410 €
Duration
Start date: 2021-01-01, End date: 2025-12-31
Project acronym BiomeRiskFactors
Project Discovering microbiome-based disease risk factors
Researcher (PI) Eran Segal
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Country Israel
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 CANCERBIOME
Project Cancerbiome: Characterization of the cancer-associated microbiome
Researcher (PI) Peer Bork
Host Institution (HI) EUROPEAN MOLECULAR BIOLOGY LABORATORY
Country Germany
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 CD-LINK
Project Celiac disease: from lincRNAs to disease mechanism
Researcher (PI) Tjitske Nienke Wijmenga
Host Institution (HI) ACADEMISCH ZIEKENHUIS GRONINGEN
Country Netherlands
Call Details Advanced Grant (AdG), LS2, ERC-2012-ADG_20120314
Summary Celiac disease affects at least 1% of the world population. Its onset is triggered by gluten, a common dietary protein, however, its etiology is poorly understood. More than 80% of patients are not properly diagnosed and they therefore do not follow a gluten-free diet, thereby increasing their risk for disease-associated complications and early death. A better understanding of the disease biology would improve the diagnosis, prevention, and treatment of celiac disease.
This project investigates the disease mechanisms in celiac disease by using predisposing genes and genetic variants as disease initiating factors. Specifically, it will investigate if long, intergenic non-coding RNAs (lincRNAs) are causally involved in celiac disease pathogenesis by regulating protein-coding genes and pathways associated with the disease.
This project is based on two important observations by my group: (1) Our genetic studies, which led to identifying 39 celiac disease risk loci, suggest that the mechanism underlying the disease is largely governed by dysregulation of gene expression. (2) We uncovered a previously unrecognized role for lincRNAs that provides clues as to exactly how genetic variation causes disease, as this class of biologically important RNA molecules regulate gene expression.
The research will be performed in CD4+ T cells, a severely affected cell type in disease pathology. I will first use celiac disease-associated protein-coding genes to delineate their regulatory pathways and then study the transcriptional programs of lincRNAs present in celiac disease loci. Next I will combine the information and investigate if the expressed lincRNAs modulate the pathways and affect T cell function, thereby discovering if lincRNAs are a missing link between non-coding genetic variation and protein-coding genes. Our findings may well lead to potential therapeutic targets and provide a solid scientific basis for new diagnostic markers, particularly biomarkers, based on genetics.
Summary
Celiac disease affects at least 1% of the world population. Its onset is triggered by gluten, a common dietary protein, however, its etiology is poorly understood. More than 80% of patients are not properly diagnosed and they therefore do not follow a gluten-free diet, thereby increasing their risk for disease-associated complications and early death. A better understanding of the disease biology would improve the diagnosis, prevention, and treatment of celiac disease.
This project investigates the disease mechanisms in celiac disease by using predisposing genes and genetic variants as disease initiating factors. Specifically, it will investigate if long, intergenic non-coding RNAs (lincRNAs) are causally involved in celiac disease pathogenesis by regulating protein-coding genes and pathways associated with the disease.
This project is based on two important observations by my group: (1) Our genetic studies, which led to identifying 39 celiac disease risk loci, suggest that the mechanism underlying the disease is largely governed by dysregulation of gene expression. (2) We uncovered a previously unrecognized role for lincRNAs that provides clues as to exactly how genetic variation causes disease, as this class of biologically important RNA molecules regulate gene expression.
The research will be performed in CD4+ T cells, a severely affected cell type in disease pathology. I will first use celiac disease-associated protein-coding genes to delineate their regulatory pathways and then study the transcriptional programs of lincRNAs present in celiac disease loci. Next I will combine the information and investigate if the expressed lincRNAs modulate the pathways and affect T cell function, thereby discovering if lincRNAs are a missing link between non-coding genetic variation and protein-coding genes. Our findings may well lead to potential therapeutic targets and provide a solid scientific basis for new diagnostic markers, particularly biomarkers, based on genetics.
Max ERC Funding
2 319 914 €
Duration
Start date: 2013-02-01, End date: 2018-11-30
