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4D-GenEx SIGNED

Spatio-temporal Organization and Expression of the Genome

Total Cost €

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EC-Contrib. €

0

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.

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

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

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 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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