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BioMeTRe SIGNED

Biophysical mechanisms of long-range transcriptional regulation

Total Cost €

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EC-Contrib. €

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Partnership

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 BioMeTRe project word cloud

Explore the words cloud of the BioMeTRe project. It provides you a very rough idea of what is the project "BioMeTRe" about.

tens    domains    partitioned    chromosome    located    structures    transcription    molecular    biophysical    gene    promoters    tad    epigenetics    predictions    regulatory    layer    transcriptional    showed    cognate    preferential    vivo    cell    engineering    quantitative    entirely    fine    levels    mammals    chromosomal    linked    experiments    mutual    link    relies    interactions    proximity    testable    description    regulation    cis    tads    distal    conformation    capture    time    biology    enhancers    explore    functional    structure    interpret    topologically    enzymatic    relate    experimental    boundaries    genes    population    chromatin    hundreds    dimensional    single    modeling    data    totally    cells    formulate    away    operation    tuned    fiber    unknown    outputs    confounding    enhancer    underlying    principles    details    sub    genomic    promoter    chromosomes    restrict    models    megabase    perturbations    associating    mechanistic    smaller    translate    mechanisms    kilobases    paradigms    genetic    physical    communication    sequences    revealed   

Project "BioMeTRe" data sheet

The following table provides information about the project.

Coordinator
FRIEDRICH MIESCHER INSTITUTE FOR BIOMEDICAL RESEARCH FONDATION 

Organization address
address: MAULBEERSTRASSE 66
city: BASEL
postcode: 4058
website: www.fmi.ch

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 Switzerland [CH]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (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 2018-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FRIEDRICH MIESCHER INSTITUTE FOR BIOMEDICAL RESEARCH FONDATION CH (BASEL) coordinator 1˙500˙000.00

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 Project objective

In mammals, transcriptional control of many genes relies on cis-regulatory elements such as enhancers, which are often located tens to hundreds of kilobases away from their cognate promoters. Functional interactions between distal regulatory elements and target promoters require mutual physical proximity, which is linked to the three-dimensional structure of the chromatin fiber. Chromosome conformation capture studies revealed that chromosomes are partitioned into Topologically Associating Domains (TADs), sub-megabase domains of preferential physical interactions of the chromatin fiber. Genetic evidence showed that TAD boundaries restrict the genomic range of enhancer-promoter communication, and that interactions between regulatory sequences within TADs are further fine-tuned by smaller-scale structures. However, the mechanistic details of how physical interactions translate into transcriptional outputs are totally unknown. Here we propose to explore the biophysical mechanisms that link chromosome conformation and long-range transcriptional regulation using molecular biology, genetic engineering, single-cell experiments and physical modeling. We will measure chromosomal interactions in single cells and in time using a novel method that relies on an enzymatic process in vivo. Genetic engineering will be used to establish a cell system that allows quantitative measurement of how enhancer-promoter interactions relate to transcription at the population and single-cell levels, and to test the effects of perturbations without confounding effects. Finally, we will develop physical models of promoter operation in the presence of distal enhancers, which will be used to interpret the experimental data and formulate new testable predictions. With this integrated approach we aim at providing an entirely new layer of description of the general principles underlying transcriptional control, which could establish new paradigms for research in epigenetics and gene regulation.

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The information about "BIOMETRE" are provided by the European Opendata Portal: CORDIS opendata.

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