EVO-DEVOMICS

Decoding developmental gene regulatory programs by evolutionary transcriptomics

Coordinatore	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY    more  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 4854 Fax: +972 4 823 2958
Nazionalità Coordinatore	Israel [IL]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-IRG-2008
Funding Scheme	MC-IRG
Anno di inizio	2009
Periodo (anno-mese-giorno)	2009-09-01   -   2013-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 4854 Fax: +972 4 823 2958	IL (HAIFA)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'An animal’s ability to build itself from a single cell is arguably the most amazing phenomenon of the living world. This process follows from an intricate regulation of the genome, however, deciphering this program remains largely an unsolved problem. The premise of the proposed research program is that an organisms’ regulatory program is a product of evolution and needs to be analyzed as such. My approach is thus to study gene regulation on a phylogeny of organisms, by constructing an atlas of gene expression profiles across developmental stages for a set of 12 nematodes. Such a dataset would constitute the first analysis of genomic regulatory elements with sufficient instances of sequence programs and the corresponding expression regulations to enable comprehensive study. I propose to analyze this dataset with an algorithm that matches specific patterns of presences and absences of expression elements within a homologous group to the corresponding regulatory sequences; putative cis-regulatory sites will then be experimentally tested for the predicted pattern specific expression. In particular, I propose to search for the evolutionary principles such as heterochrony and heterotypy that underlie the evolution of gene regulatory networks, with a special focus on the mode of selection of each element of a gene’s expression profile. As a model system, I will focus on the genetic specification of the C. elegans endoderm, using advanced embryological techniques coupled with inferences from comparisons of endoderm specification across the phylum, to attempt to reprogram its development. In parallel, I shall seek to test for the universality of the observed evolutionary principles, through an analysis of available datasets across the animal kingdom. Progress along this research program aims to contribute to the broad goal of deciphering genomic regulatory networks, as well as to an understanding for how developmental processes are reprogrammed throughout evolution.'