GENEREGULATION

Deciphering the code of gene regulation using massively parallel assays of designed sequence libraries

 Coordinatore WEIZMANN INSTITUTE OF SCIENCE 

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 Nazionalità Coordinatore Israel [IL]
 Totale costo 2˙000˙000 €
 EC contributo 2˙000˙000 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-CoG
 Funding Scheme ERC-CG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-03-01   -   2019-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    WEIZMANN INSTITUTE OF SCIENCE

 Organization address address: HERZL STREET 234
city: REHOVOT
postcode: 7610001

contact info
Titolo: Ms.
Nome: Gabi
Cognome: Bernstein
Email: send email
Telefono: +972 8 934 6728
Fax: +972 8 934 4165

IL (REHOVOT) hostInstitution 2˙000˙000.00
2    WEIZMANN INSTITUTE OF SCIENCE

 Organization address address: HERZL STREET 234
city: REHOVOT
postcode: 7610001

contact info
Titolo: Prof.
Nome: Eran
Cognome: Segal
Email: send email
Telefono: +972 8 934 4282
Fax: +972 8 934 4122

IL (REHOVOT) hostInstitution 2˙000˙000.00

Mappa


 Word cloud

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effect    regulatory    measuring    sequences    construct    affect    levels    gene    variation    sequence    us    dna    libraries    model    transcriptional    single    regulation    individuals    expression    human    experimental    disease    predict    genes   

 Obiettivo del progetto (Objective)

'Many gene expression changes that are associated with disease states have in turn been linked to changes in the genes’ regulatory regions. However, without a ‘regulatory code’ that informs us how DNA sequences determine expression levels, we cannot predict which sequence changes will affect expression, by how much, and by what mechanism.

Here, we aim to arrive at a mechanistic and quantitative understanding of how expression levels are encoded in DNA sequence using a combined experimental and computational approach. To this end, we will construct libraries of >50,000 sequences, fuse them to fluorescent reporters, and genomically integrate them to yeast or human cells. We will then develop methods for accurately measuring, in parallel, the expression of each fused sequence within a single experiment, and for measuring the DNA binding state of each sequence at single cell resolution, resulting in ~1000-fold increase in the scale with which we can study the effect of sequence on expression.

Notably, we will design our experimental system to be modular, allowing us to propose a highly ambitious yet realistic plan in which we will study the effect of sequence on (1) transcriptional and (2) post-transcriptional regulation; (3) Unravel the effect of genetic variation across human individuals on expression; (4) Quantify how cellular fitness depends on the expression level of individual endogenous genes; and (5) Construct a predictive model of the effect of DNA sequence on expression.

Each of our libraries should provide novel insights into a different aspect of gene regulation, leading to new means by which we can interpret whole genome sequencing, which is rapidly being collected for many individuals. In particular, our unified model should allow us to predict expression changes among human individuals based only on their genotypic variation, greatly enhancing the ability to identify common or rare sequence variants that may affect molecular function or cause disease.'

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