Project acronym 2-HIT
Project Genetic interaction networks: From C. elegans to human disease
Researcher (PI) Ben Lehner
Host Institution (HI) FUNDACIO CENTRE DE REGULACIO GENOMICA
Call Details Starting Grant (StG), LS2, ERC-2007-StG
Summary Most hereditary diseases in humans are genetically complex, resulting from combinations of mutations in multiple genes. However synthetic interactions between genes are very difficult to identify in population studies because of a lack of statistical power and we fundamentally do not understand how mutations interact to produce phenotypes. C. elegans is a unique animal in which genetic interactions can be rapidly identified in vivo using RNA interference, and we recently used this system to construct the first genetic interaction network for any animal, focused on signal transduction genes. The first objective of this proposal is to extend this work and map a comprehensive genetic interaction network for this model metazoan. This project will provide the first insights into the global properties of animal genetic interaction networks, and a comprehensive view of the functional relationships between genes in an animal. The second objective of the proposal is to use C. elegans to develop and validate experimentally integrated gene networks that connect genes to phenotypes and predict genetic interactions on a genome-wide scale. The methods that we develop and validate in C. elegans will then be applied to predict phenotypes and interactions for human genes. The final objective is to dissect the molecular mechanisms underlying genetic interactions, and to understand how these interactions evolve. The combined aim of these three objectives is to generate a framework for understanding and predicting how mutations interact to produce phenotypes, including in human disease.
Summary
Most hereditary diseases in humans are genetically complex, resulting from combinations of mutations in multiple genes. However synthetic interactions between genes are very difficult to identify in population studies because of a lack of statistical power and we fundamentally do not understand how mutations interact to produce phenotypes. C. elegans is a unique animal in which genetic interactions can be rapidly identified in vivo using RNA interference, and we recently used this system to construct the first genetic interaction network for any animal, focused on signal transduction genes. The first objective of this proposal is to extend this work and map a comprehensive genetic interaction network for this model metazoan. This project will provide the first insights into the global properties of animal genetic interaction networks, and a comprehensive view of the functional relationships between genes in an animal. The second objective of the proposal is to use C. elegans to develop and validate experimentally integrated gene networks that connect genes to phenotypes and predict genetic interactions on a genome-wide scale. The methods that we develop and validate in C. elegans will then be applied to predict phenotypes and interactions for human genes. The final objective is to dissect the molecular mechanisms underlying genetic interactions, and to understand how these interactions evolve. The combined aim of these three objectives is to generate a framework for understanding and predicting how mutations interact to produce phenotypes, including in human disease.
Max ERC Funding
1 100 000 €
Duration
Start date: 2008-09-01, End date: 2014-04-30
Project acronym ADIPODIF
Project Adipocyte Differentiation and Metabolic Functions in Obesity and Type 2 Diabetes
Researcher (PI) Christian Wolfrum
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), LS6, ERC-2007-StG
Summary Obesity associated disorders such as T2D, hypertension and CVD, commonly referred to as the “metabolic syndrome”, are prevalent diseases of industrialized societies. Deranged adipose tissue proliferation and differentiation contribute significantly to the development of these metabolic disorders. Comparatively little however is known, about how these processes influence the development of metabolic disorders. Using a multidisciplinary approach, I plan to elucidate molecular mechanisms underlying the altered adipocyte differentiation and maturation in different models of obesity associated metabolic disorders. Special emphasis will be given to the analysis of gene expression, postranslational modifications and lipid molecular species composition. To achieve this goal, I am establishing several novel methods to isolate pure primary preadipocytes including a new animal model that will allow me to monitor preadipocytes, in vivo and track their cellular fate in the context of a complete organism. These systems will allow, for the first time to study preadipocyte biology, in an in vivo setting. By monitoring preadipocyte differentiation in vivo, I will also be able to answer the key questions regarding the development of preadipocytes and examine signals that induce or inhibit their differentiation. Using transplantation techniques, I will elucidate the genetic and environmental contributions to the progression of obesity and its associated metabolic disorders. Furthermore, these studies will integrate a lipidomics approach to systematically analyze lipid molecular species composition in different models of metabolic disorders. My studies will provide new insights into the mechanisms and dynamics underlying adipocyte differentiation and maturation, and relate them to metabolic disorders. Detailed knowledge of these mechanisms will facilitate development of novel therapeutic approaches for the treatment of obesity and associated metabolic disorders.
Summary
Obesity associated disorders such as T2D, hypertension and CVD, commonly referred to as the “metabolic syndrome”, are prevalent diseases of industrialized societies. Deranged adipose tissue proliferation and differentiation contribute significantly to the development of these metabolic disorders. Comparatively little however is known, about how these processes influence the development of metabolic disorders. Using a multidisciplinary approach, I plan to elucidate molecular mechanisms underlying the altered adipocyte differentiation and maturation in different models of obesity associated metabolic disorders. Special emphasis will be given to the analysis of gene expression, postranslational modifications and lipid molecular species composition. To achieve this goal, I am establishing several novel methods to isolate pure primary preadipocytes including a new animal model that will allow me to monitor preadipocytes, in vivo and track their cellular fate in the context of a complete organism. These systems will allow, for the first time to study preadipocyte biology, in an in vivo setting. By monitoring preadipocyte differentiation in vivo, I will also be able to answer the key questions regarding the development of preadipocytes and examine signals that induce or inhibit their differentiation. Using transplantation techniques, I will elucidate the genetic and environmental contributions to the progression of obesity and its associated metabolic disorders. Furthermore, these studies will integrate a lipidomics approach to systematically analyze lipid molecular species composition in different models of metabolic disorders. My studies will provide new insights into the mechanisms and dynamics underlying adipocyte differentiation and maturation, and relate them to metabolic disorders. Detailed knowledge of these mechanisms will facilitate development of novel therapeutic approaches for the treatment of obesity and associated metabolic disorders.
Max ERC Funding
1 607 105 €
Duration
Start date: 2008-07-01, End date: 2013-06-30
Project acronym Antibodyomics
Project Vaccine profiling and immunodiagnostic discovery by high-throughput antibody repertoire analysis
Researcher (PI) Sai Tota Reddy
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), LS7, ERC-2015-STG
Summary Vaccines and immunodiagnostics have been vital for public health and medicine, however a quantitative molecular understanding of vaccine-induced antibody responses is lacking. Antibody research is currently going through a big-data driven revolution, largely due to progress in next-generation sequencing (NGS) and bioinformatic analysis of antibody repertoires. A main advantage of high-throughput antibody repertoire analysis is that it provides a wealth of quantitative information not possible with other classical methods of antibody analysis (i.e., serum titers); this information includes: clonal distribution and diversity, somatic hypermutation patterns, and lineage tracing. In preliminary work my group has established standardized methods for antibody repertoire NGS, including an experimental-bioinformatic pipeline for error and bias correction that enables highly accurate repertoire sequencing and analysis. The overall goal of this proposal will be to apply high-throughput antibody repertoire analysis for quantitative vaccine profiling and discovery of next-generation immunodiagnostics. Using mouse subunit vaccination as our model system, we will answer for the first time, a fundamental biological question within the context of antibody responses - what is the link between genotype (antibody repertoire) and phenotype (serum antibodies)? We will expand upon this approach for improved rational vaccine design by quantitatively determining the impact of a comprehensive set of subunit vaccination parameters on complete antibody landscapes. Finally, we will develop advanced bioinformatic methods to discover immunodiagnostics based on antibody repertoire sequences. In summary, this proposal lays the foundation for fundamentally new approaches in the quantitative analysis of antibody responses, which long-term will promote the development of next-generation vaccines and immunodiagnostics.
Summary
Vaccines and immunodiagnostics have been vital for public health and medicine, however a quantitative molecular understanding of vaccine-induced antibody responses is lacking. Antibody research is currently going through a big-data driven revolution, largely due to progress in next-generation sequencing (NGS) and bioinformatic analysis of antibody repertoires. A main advantage of high-throughput antibody repertoire analysis is that it provides a wealth of quantitative information not possible with other classical methods of antibody analysis (i.e., serum titers); this information includes: clonal distribution and diversity, somatic hypermutation patterns, and lineage tracing. In preliminary work my group has established standardized methods for antibody repertoire NGS, including an experimental-bioinformatic pipeline for error and bias correction that enables highly accurate repertoire sequencing and analysis. The overall goal of this proposal will be to apply high-throughput antibody repertoire analysis for quantitative vaccine profiling and discovery of next-generation immunodiagnostics. Using mouse subunit vaccination as our model system, we will answer for the first time, a fundamental biological question within the context of antibody responses - what is the link between genotype (antibody repertoire) and phenotype (serum antibodies)? We will expand upon this approach for improved rational vaccine design by quantitatively determining the impact of a comprehensive set of subunit vaccination parameters on complete antibody landscapes. Finally, we will develop advanced bioinformatic methods to discover immunodiagnostics based on antibody repertoire sequences. In summary, this proposal lays the foundation for fundamentally new approaches in the quantitative analysis of antibody responses, which long-term will promote the development of next-generation vaccines and immunodiagnostics.
Max ERC Funding
1 492 586 €
Duration
Start date: 2016-06-01, End date: 2021-05-31
Project acronym ANTIVIRNA
Project Structural and mechanistic studies of RNA-guided and RNA-targeting antiviral defense pathways
Researcher (PI) Martin Jinek
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Starting Grant (StG), LS1, ERC-2013-StG
Summary The evolutionary pressures exerted by viruses on their host cells constitute a major force that drives the evolution of cellular antiviral mechanisms. The proposed research is motivated by our interest in the roles of protein-RNA interactions in both prokaryotic and eukaryotic antiviral pathways and will proceed in two directions. The first project stems from our current work on the CRISPR pathway, a recently discovered RNA-guided adaptive defense mechanism in bacteria and archaea that silences mobile genetic elements such as viruses (bacteriophages) and plasmids. CRISPR systems rely on short RNAs (crRNAs) that associate with CRISPR-associated (Cas) proteins and function as sequence-specific guides in the detection and destruction of invading nucleic acids. To obtain molecular insights into the mechanisms of crRNA-guided interference, we will pursue structural and functional studies of DNA-targeting ribonuceoprotein complexes from type II and III CRISPR systems. Our work will shed light on the function of these systems in microbial pathogenesis and provide a framework for the informed engineering of RNA-guided gene targeting technologies. The second proposed research direction centres on RNA-targeting antiviral strategies employed by the human innate immune system. Here, our work will focus on structural studies of major interferon-induced effector proteins, initially examining the allosteric activation mechanism of RNase L and subsequently focusing on other antiviral nucleases and RNA helicases, as well as mechanisms by which RNA viruses evade the innate immune response of the host. In our investigations, we plan to approach these questions using an integrated strategy combining structural biology, biochemistry and biophysics with cell-based functional studies. Together, our studies will provide fundamental molecular insights into RNA-centred antiviral mechanisms and their impact on human health and disease.
Summary
The evolutionary pressures exerted by viruses on their host cells constitute a major force that drives the evolution of cellular antiviral mechanisms. The proposed research is motivated by our interest in the roles of protein-RNA interactions in both prokaryotic and eukaryotic antiviral pathways and will proceed in two directions. The first project stems from our current work on the CRISPR pathway, a recently discovered RNA-guided adaptive defense mechanism in bacteria and archaea that silences mobile genetic elements such as viruses (bacteriophages) and plasmids. CRISPR systems rely on short RNAs (crRNAs) that associate with CRISPR-associated (Cas) proteins and function as sequence-specific guides in the detection and destruction of invading nucleic acids. To obtain molecular insights into the mechanisms of crRNA-guided interference, we will pursue structural and functional studies of DNA-targeting ribonuceoprotein complexes from type II and III CRISPR systems. Our work will shed light on the function of these systems in microbial pathogenesis and provide a framework for the informed engineering of RNA-guided gene targeting technologies. The second proposed research direction centres on RNA-targeting antiviral strategies employed by the human innate immune system. Here, our work will focus on structural studies of major interferon-induced effector proteins, initially examining the allosteric activation mechanism of RNase L and subsequently focusing on other antiviral nucleases and RNA helicases, as well as mechanisms by which RNA viruses evade the innate immune response of the host. In our investigations, we plan to approach these questions using an integrated strategy combining structural biology, biochemistry and biophysics with cell-based functional studies. Together, our studies will provide fundamental molecular insights into RNA-centred antiviral mechanisms and their impact on human health and disease.
Max ERC Funding
1 467 180 €
Duration
Start date: 2013-11-01, End date: 2018-10-31
Project acronym BacRafts
Project Architecture of bacterial lipid rafts; inhibition of virulence and antibiotic resistance using raft-disassembling small molecules
Researcher (PI) Daniel López Serrano
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Starting Grant (StG), LS6, ERC-2013-StG
Summary Membranes of eukaryotic cells organize signal transduction proteins into microdomains or lipid rafts whose integrity is essential for numerous cellular processes. Lipid rafts has been considered a fundamental step to define the cellular complexity of eukaryotes, assuming that bacteria do not require such a sophisticated organization of their signaling networks. However, I have discovered that bacteria organize many signaling pathways in membrane microdomains similar to the eukaryotic lipid rafts. Perturbation of bacterial lipid rafts leads to a potent and simultaneous impairment of all raft-harbored signaling pathways. Consequently, the disassembly of lipid rafts in pathogens like Staphylococcus aureus generates a simultaneous inhibition of numerous infection-related processes that can be further explored to control bacterial infections. This unexpected sophistication in membrane organization is unprecedented in bacteria and hence, this proposal will explore the molecular basis of the assembly of bacterial lipid rafts and their role in the infection-related processes. These questions will be addressed in three main goals: First, I will elucidate the molecular components and the mechanism of assembly of bacterial lipid rafts using S. aureus as model organism. Second, I will dissect the molecular basis that links the functionality of the infection-related processes to the integrity of bacterial lipid rafts. Third, my collection of anti-raft small molecules that are able to disrupt lipid rafts will be tested as antimicrobial agents to prevent hospital-acquired infections, abrogate pre-existing infections and develop bacteria-free materials that can be used in clinical settings. I will use a number of molecular approaches in combination with cutting-edge techniques in flow cytometry, cell-imaging and transcriptomics to clarify the architecture and functionality of lipid rafts and demonstrate the feasibility of targeting lipid a new strategy for anti-microbial therapy.
Summary
Membranes of eukaryotic cells organize signal transduction proteins into microdomains or lipid rafts whose integrity is essential for numerous cellular processes. Lipid rafts has been considered a fundamental step to define the cellular complexity of eukaryotes, assuming that bacteria do not require such a sophisticated organization of their signaling networks. However, I have discovered that bacteria organize many signaling pathways in membrane microdomains similar to the eukaryotic lipid rafts. Perturbation of bacterial lipid rafts leads to a potent and simultaneous impairment of all raft-harbored signaling pathways. Consequently, the disassembly of lipid rafts in pathogens like Staphylococcus aureus generates a simultaneous inhibition of numerous infection-related processes that can be further explored to control bacterial infections. This unexpected sophistication in membrane organization is unprecedented in bacteria and hence, this proposal will explore the molecular basis of the assembly of bacterial lipid rafts and their role in the infection-related processes. These questions will be addressed in three main goals: First, I will elucidate the molecular components and the mechanism of assembly of bacterial lipid rafts using S. aureus as model organism. Second, I will dissect the molecular basis that links the functionality of the infection-related processes to the integrity of bacterial lipid rafts. Third, my collection of anti-raft small molecules that are able to disrupt lipid rafts will be tested as antimicrobial agents to prevent hospital-acquired infections, abrogate pre-existing infections and develop bacteria-free materials that can be used in clinical settings. I will use a number of molecular approaches in combination with cutting-edge techniques in flow cytometry, cell-imaging and transcriptomics to clarify the architecture and functionality of lipid rafts and demonstrate the feasibility of targeting lipid a new strategy for anti-microbial therapy.
Max ERC Funding
1 493 126 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym BCLYM
Project Molecular mechanisms of mature B cell lymphomagenesis
Researcher (PI) Almudena Ramiro
Host Institution (HI) CENTRO NACIONAL DE INVESTIGACIONESCARDIOVASCULARES CARLOS III (F.S.P.)
Call Details Starting Grant (StG), LS3, ERC-2007-StG
Summary Most of the lymphomas diagnosed in the western world are originated from mature B cells. The hallmark of these malignancies is the presence of recurrent chromosome translocations that usually involve the immunoglobulin loci and a proto-oncogene. As a result of the translocation event the proto-oncogene becomes deregulated under the influence of immunoglobulin cis sequences thus playing an important role in the etiology of the disease. Upon antigen encounter mature B cells engage in the germinal center reaction, a complex differentiation program of critical importance to the development of the secondary immune response. The germinal center reaction entails the somatic remodelling of immunoglobulin genes by the somatic hypermutation and class switch recombination reactions, both of which are triggered by Activation Induced Deaminase (AID). We have previously shown that AID also initiates lymphoma-associated c-myc/IgH chromosome translocations. In addition, the germinal center reaction involves a fine-tuned balance between intense B cell proliferation and program cell death. This environment seems to render B cells particularly vulnerable to malignant transformation. We aim at studying the molecular events responsible for B cell susceptibility to lymphomagenesis from two perspectives. First, we will address the role of AID in the generation of lymphomagenic lesions in the context of AID specificity and transcriptional activation. Second, we will approach the regulatory function of microRNAs of AID-dependent, germinal center events. The proposal aims at the molecular understanding of a process that lies in the interface of immune regulation and oncogenic transformation and therefore the results will have profound implications both to basic and clinical understanding of lymphomagenesis.
Summary
Most of the lymphomas diagnosed in the western world are originated from mature B cells. The hallmark of these malignancies is the presence of recurrent chromosome translocations that usually involve the immunoglobulin loci and a proto-oncogene. As a result of the translocation event the proto-oncogene becomes deregulated under the influence of immunoglobulin cis sequences thus playing an important role in the etiology of the disease. Upon antigen encounter mature B cells engage in the germinal center reaction, a complex differentiation program of critical importance to the development of the secondary immune response. The germinal center reaction entails the somatic remodelling of immunoglobulin genes by the somatic hypermutation and class switch recombination reactions, both of which are triggered by Activation Induced Deaminase (AID). We have previously shown that AID also initiates lymphoma-associated c-myc/IgH chromosome translocations. In addition, the germinal center reaction involves a fine-tuned balance between intense B cell proliferation and program cell death. This environment seems to render B cells particularly vulnerable to malignant transformation. We aim at studying the molecular events responsible for B cell susceptibility to lymphomagenesis from two perspectives. First, we will address the role of AID in the generation of lymphomagenic lesions in the context of AID specificity and transcriptional activation. Second, we will approach the regulatory function of microRNAs of AID-dependent, germinal center events. The proposal aims at the molecular understanding of a process that lies in the interface of immune regulation and oncogenic transformation and therefore the results will have profound implications both to basic and clinical understanding of lymphomagenesis.
Max ERC Funding
1 596 000 €
Duration
Start date: 2008-12-01, End date: 2014-11-30
Project acronym BINDING FIBRES
Project Soluble dietary fibre: unraveling how weak bonds have a strong impact on function
Researcher (PI) Laura Nyström
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), LS9, ERC-2015-STG
Summary Dietary fibres are recognized for their health promoting properties; nevertheless, many of the physicochemical mechanisms behind these effects remain poorly understood. While it is understood that dietary fibres can associate with small molecules influencing, both positively or negatively their absorption, the molecular mechanism, by which these associations take place, have yet to be elucidated We propose a study of the binding in soluble dietary fibres at a molecular level to establish binding constants for various fibres and nutritionally relevant ligands. The interactions between fibres and target compounds may be quite weak, but still have a major impact on the bioavailability. To gain insight to the binding mechanisms at a level of detail that has not earlier been achieved, we will apply novel combinations of analytical techniques (MS, NMR, EPR) and both natural as well as synthetic probes to elucidate the associations in these complexes from macromolecular to atomic level. Glucans, xyloglucans and galactomannans will serve as model soluble fibres, representative of real food systems, allowing us to determine their binding constants with nutritionally relevant micronutrients, such as monosaccharides, bile acids, and metals. Furthermore, we will examine supramolecular interactions between fibre strands to evaluate possible contribution of several fibre strands to the micronutrient associations. At the atomic level, we will use complementary spectroscopies to identify the functional groups and atoms involved in the bonds between fibres and the ligands. The proposal describes a unique approach to quantify binding of small molecules by dietary fibres, which can be translated to polysaccharide interactions with ligands in a broad range of biological systems and disciplines. The findings from this study may further allow us to predictably utilize fibres in functional foods, which can have far-reaching consequences in human nutrition, and thereby also public health.
Summary
Dietary fibres are recognized for their health promoting properties; nevertheless, many of the physicochemical mechanisms behind these effects remain poorly understood. While it is understood that dietary fibres can associate with small molecules influencing, both positively or negatively their absorption, the molecular mechanism, by which these associations take place, have yet to be elucidated We propose a study of the binding in soluble dietary fibres at a molecular level to establish binding constants for various fibres and nutritionally relevant ligands. The interactions between fibres and target compounds may be quite weak, but still have a major impact on the bioavailability. To gain insight to the binding mechanisms at a level of detail that has not earlier been achieved, we will apply novel combinations of analytical techniques (MS, NMR, EPR) and both natural as well as synthetic probes to elucidate the associations in these complexes from macromolecular to atomic level. Glucans, xyloglucans and galactomannans will serve as model soluble fibres, representative of real food systems, allowing us to determine their binding constants with nutritionally relevant micronutrients, such as monosaccharides, bile acids, and metals. Furthermore, we will examine supramolecular interactions between fibre strands to evaluate possible contribution of several fibre strands to the micronutrient associations. At the atomic level, we will use complementary spectroscopies to identify the functional groups and atoms involved in the bonds between fibres and the ligands. The proposal describes a unique approach to quantify binding of small molecules by dietary fibres, which can be translated to polysaccharide interactions with ligands in a broad range of biological systems and disciplines. The findings from this study may further allow us to predictably utilize fibres in functional foods, which can have far-reaching consequences in human nutrition, and thereby also public health.
Max ERC Funding
1 500 000 €
Duration
Start date: 2016-04-01, End date: 2021-03-31
Project acronym CAMERA
Project Characterizing Adaptation and Migration Events with Modern and Ancient Genomes
Researcher (PI) Anna-Sapfo Malaspinas
Host Institution (HI) UNIVERSITAET BERN
Call Details Starting Grant (StG), LS8, ERC-2015-STG
Summary BACKGROUND Ancient DNA research has recently entered the genomics era. Performing “ancient population genomics” is now technically possible. Utilizing the temporal aspect of this new data, we can address fundamental evolutionary questions such as the amount of selection acting on the genome or the mode and tempo of the colonization of the world. AIMS The overall goal of the proposed research is to (i) generate and analyse data to answer two long standing questions in human evolution: understanding the molecular basis of human adaptation to high altitude and investigating the timing of the Polynesian-South American contact, (ii) develop statistical approaches that combine ancient and modern genetic data to estimate the timing and the intensity of a selective sweep and an admixture event. METHODOLOGY Application: We will collect, date and DNA sequence human remains. Combining the ancient genetic data, 14C dates with existing modern genomic data will allow us to increase the resolution as to the timing of the adaptive and the admixture event, respectively, while generating unique datasets. Theory: We will build on existing methods based on one-locus classical population genetic models to develop tools to analyse whole genome time serial data. RELEVANCE Ecological: The results will address the fundamental question of how much of the human genome is undergoing selection, better characterize one of the textbook examples of adaptation in humans and contribute to our understanding of the peopling of the Americas. Medical: We will gain insights into the fundamental stress physiology experienced at high altitude and therefore into altitude-related illnesses. Methodological: The methods developed in this project will not only benefit the growing field of ancient genomics but also other fields where data is collected in a temporal manner, such as experimental evolution and epidemiology
Summary
BACKGROUND Ancient DNA research has recently entered the genomics era. Performing “ancient population genomics” is now technically possible. Utilizing the temporal aspect of this new data, we can address fundamental evolutionary questions such as the amount of selection acting on the genome or the mode and tempo of the colonization of the world. AIMS The overall goal of the proposed research is to (i) generate and analyse data to answer two long standing questions in human evolution: understanding the molecular basis of human adaptation to high altitude and investigating the timing of the Polynesian-South American contact, (ii) develop statistical approaches that combine ancient and modern genetic data to estimate the timing and the intensity of a selective sweep and an admixture event. METHODOLOGY Application: We will collect, date and DNA sequence human remains. Combining the ancient genetic data, 14C dates with existing modern genomic data will allow us to increase the resolution as to the timing of the adaptive and the admixture event, respectively, while generating unique datasets. Theory: We will build on existing methods based on one-locus classical population genetic models to develop tools to analyse whole genome time serial data. RELEVANCE Ecological: The results will address the fundamental question of how much of the human genome is undergoing selection, better characterize one of the textbook examples of adaptation in humans and contribute to our understanding of the peopling of the Americas. Medical: We will gain insights into the fundamental stress physiology experienced at high altitude and therefore into altitude-related illnesses. Methodological: The methods developed in this project will not only benefit the growing field of ancient genomics but also other fields where data is collected in a temporal manner, such as experimental evolution and epidemiology
Max ERC Funding
1 498 478 €
Duration
Start date: 2016-08-01, End date: 2021-07-31
Project acronym CANCERMETAB
Project Metabolic requirements for prostate cancer cell fitness
Researcher (PI) Arkaitz Carracedo Perez
Host Institution (HI) ASOCIACION CENTRO DE INVESTIGACION COOPERATIVA EN BIOCIENCIAS
Call Details Starting Grant (StG), LS4, ERC-2013-StG
Summary The actual view of cellular transformation and cancer progression supports the notion that cancer cells must undergo metabolic reprogramming in order to survive in a hostile environment. This field has experienced a renaissance in recent years, with the discovery of cancer genes regulating metabolic homeostasis, in turn being accepted as an emergent hallmark of cancer. Prostate cancer presents one of the highest incidences in men mostly in developed societies and exhibits a significant association with lifestyle environmental factors. Prostate cancer recurrence is thought to rely on a subpopulation of cancer cells with low-androgen requirements, high self-renewal potential and multidrug resistance, defined as cancer-initiating cells. However, whether this cancer cell fraction presents genuine metabolic properties that can be therapeutically relevant remains undefined. In CancerMetab, we aim to understand the potential benefit of monitoring and manipulating metabolism for prostate cancer prevention, detection and therapy. My group will carry out a multidisciplinary strategy, comprising cellular systems, genetic mouse models of prostate cancer, human epidemiological and clinical studies and bioinformatic analysis. The singularity of this proposal stems from the approach to the three key aspects that we propose to study. For prostate cancer prevention, we will use our faithful mouse model of prostate cancer to shed light on the contribution of obesity to prostate cancer. For prostate cancer detection, we will overcome the consistency issues of previously reported metabolic biomarkers by adding robustness to the human studies with mouse data integration. For prostate cancer therapy, we will focus on a cell population for which the metabolic requirements and the potential of targeting them for therapy have been overlooked to date, that is the prostate cancer-initiating cell compartment.
Summary
The actual view of cellular transformation and cancer progression supports the notion that cancer cells must undergo metabolic reprogramming in order to survive in a hostile environment. This field has experienced a renaissance in recent years, with the discovery of cancer genes regulating metabolic homeostasis, in turn being accepted as an emergent hallmark of cancer. Prostate cancer presents one of the highest incidences in men mostly in developed societies and exhibits a significant association with lifestyle environmental factors. Prostate cancer recurrence is thought to rely on a subpopulation of cancer cells with low-androgen requirements, high self-renewal potential and multidrug resistance, defined as cancer-initiating cells. However, whether this cancer cell fraction presents genuine metabolic properties that can be therapeutically relevant remains undefined. In CancerMetab, we aim to understand the potential benefit of monitoring and manipulating metabolism for prostate cancer prevention, detection and therapy. My group will carry out a multidisciplinary strategy, comprising cellular systems, genetic mouse models of prostate cancer, human epidemiological and clinical studies and bioinformatic analysis. The singularity of this proposal stems from the approach to the three key aspects that we propose to study. For prostate cancer prevention, we will use our faithful mouse model of prostate cancer to shed light on the contribution of obesity to prostate cancer. For prostate cancer detection, we will overcome the consistency issues of previously reported metabolic biomarkers by adding robustness to the human studies with mouse data integration. For prostate cancer therapy, we will focus on a cell population for which the metabolic requirements and the potential of targeting them for therapy have been overlooked to date, that is the prostate cancer-initiating cell compartment.
Max ERC Funding
1 498 686 €
Duration
Start date: 2013-11-01, End date: 2019-10-31
Project acronym CHAI
Project Cardiovascular Health effects of Air pollution in Andhra Pradesh, India
Researcher (PI) Cathryn Tonne
Host Institution (HI) FUNDACION PRIVADA INSTITUTO DE SALUD GLOBAL BARCELONA
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary While there is convincing evidence that exposure to particulate air pollution causes cardiovascular mortality and morbidity, nearly all of this evidence is based on populations in high-income countries where concentrations are relatively low. There is large uncertainty regarding the relationship between combustion particles and cardiovascular risk for concentrations higher than outdoor concentrations in urban areas of high-income countries and lower than active smoking. Exposures for our study population are likely to be in this range.
We will investigate the cardiovascular health effects of exposure to particles from outdoor and household sources within a prospective cohort in Andhra Pradesh, India. Firstly, we will characterise exposure of participants using an integrated approach utilising outdoor mobile monitoring, personal monitoring, and questionnaire data. We will then collect data on participants’ activities and location using ‘life-logging’ from which activities driving exposure can be identified. Finally, we will quantify the association between exposure to particles and biomarkers of atherosclerosis.
This research will shed light on the relationship between particles and cardiovascular risk at concentration ranges where there is the largest uncertainty. It will provide some of the first evidence of the cardiovascular health effects of medium-term exposure to particulate air pollution outside of a high-income country. The research will also provide evidence regarding the relative contribution of sources and activities linked to high exposure, forming the basis of recommendations for exposure reduction.
Summary
While there is convincing evidence that exposure to particulate air pollution causes cardiovascular mortality and morbidity, nearly all of this evidence is based on populations in high-income countries where concentrations are relatively low. There is large uncertainty regarding the relationship between combustion particles and cardiovascular risk for concentrations higher than outdoor concentrations in urban areas of high-income countries and lower than active smoking. Exposures for our study population are likely to be in this range.
We will investigate the cardiovascular health effects of exposure to particles from outdoor and household sources within a prospective cohort in Andhra Pradesh, India. Firstly, we will characterise exposure of participants using an integrated approach utilising outdoor mobile monitoring, personal monitoring, and questionnaire data. We will then collect data on participants’ activities and location using ‘life-logging’ from which activities driving exposure can be identified. Finally, we will quantify the association between exposure to particles and biomarkers of atherosclerosis.
This research will shed light on the relationship between particles and cardiovascular risk at concentration ranges where there is the largest uncertainty. It will provide some of the first evidence of the cardiovascular health effects of medium-term exposure to particulate air pollution outside of a high-income country. The research will also provide evidence regarding the relative contribution of sources and activities linked to high exposure, forming the basis of recommendations for exposure reduction.
Max ERC Funding
1 200 000 €
Duration
Start date: 2015-01-01, End date: 2018-12-31
