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4D-GenEx SIGNED

Spatio-temporal Organization and Expression of the Genome

Total Cost €

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EC-Contrib. €

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Partnership

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 4D-GenEx project word cloud

Explore the words cloud of the 4D-GenEx project. It provides you a very rough idea of what is the project "4D-GenEx" about.

single    individual    relationship    relation    time    shared    normal    signatures    data    cluster    combines    first    modeling    gene    4d    linear    chromosomes    color    physics    molecule    relates    genome    impairing    transcriptional    domain    pp7    theory    shape    tools    supercoiling    positions    spatio    transcription    preferred    pairs    expression    motion    understand    dual    live    computer    validate    tracking    expertise    statistical    building    fish    certain    subnuclear    mechanisms    probing    investigates    stochastic    functional    communicate    science    interface    dynamics    innovative    regulation    responsive    ms2    visualize    enhancers    cutting    hormone    imaging    uncover    lack    edge    organizing    patterns    hi    compartments    conformational    hypothesis    competition    indicates    signal    experimental    perturbations    labeling    extract    biology    physical    acting    recycling    noise    pathological    responding    underlying    nucleus    coordinate    rna    genes    suggest    organization    microenvironment    analytical    coupling    regulated    co    space    cellular    coordinated    critically    local    appropriate    locus    dimensions    experiment    interpreting    temporal   

Project "4D-GenEx" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 1˙499˙750 €
 EC max contribution 1˙499˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2023-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 1˙499˙750.00

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 Project objective

This project investigates the two-way relationship between spatio-temporal genome organization and coordinated gene regulation, through an approach at the interface between physics, computer science and biology.

In the nucleus, preferred positions are observed from chromosomes to single genes, in relation to normal and pathological cellular states. Evidence indicates a complex spatio-temporal coupling between co-regulated genes: e.g. certain genes cluster spatially when responding to similar factors and transcriptional noise patterns suggest domain-wide mechanisms. Yet, no individual experiment allows probing transcriptional coordination in 4 dimensions (FISH, live locus tracking, Hi-C...). Interpreting such data also critically requires theory (stochastic processes, statistical physics…). A lack of appropriate experimental/analytical approaches is impairing our understanding of the 4D genome.

Our proposal combines cutting-edge single-molecule imaging, signal-theory data analysis and physical modeling to study how genes coordinate in space and time in a single nucleus. Our objectives are to understand (a) competition/recycling of shared resources between genes within subnuclear compartments, (b) how enhancers communicate with genes domain-wide, and (c) the role of local conformational dynamics and supercoiling in gene co-regulation. Our organizing hypothesis is that, by acting on their microenvironment, genes shape their co-expression with other genes.

Building upon my expertise, we will use dual-color MS2/PP7 RNA labeling to visualize for the first time transcription and motion of pairs of hormone-responsive genes in real time. With our innovative signal analysis tools, we will extract spatio-temporal signatures of underlying processes, which we will investigate with stochastic modeling and validate through experimental perturbations. We expect to uncover how the functional organization of the linear genome relates to its physical properties and dynamics in 4D.

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The information about "4D-GENEX" are provided by the European Opendata Portal: CORDIS opendata.

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