TISSUECONTROLNETWORK

Genetic interaction networks in a self-renewing human tissue

Coordinatore	STICHTING KATHOLIEKE UNIVERSITEIT    more  Organization address address: GEERT GROOTEPLEIN NOORD 9 city: NIJMEGEN postcode: 6525 EZ contact info Titolo: Mr. Nome: Geurt Cognome: Van Renselaar Email: send email Telefono: +31 24 3652787
Nazionalità Coordinatore	Netherlands [NL]
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-2013-CIG
Funding Scheme	MC-CIG
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-09-01   -   2017-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	STICHTING KATHOLIEKE UNIVERSITEIT  Organization address address: GEERT GROOTEPLEIN NOORD 9 city: NIJMEGEN postcode: 6525 EZ contact info Titolo: Mr. Nome: Geurt Cognome: Van Renselaar Email: send email Telefono: +31 24 3652787	NL (NIJMEGEN)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'Both epigenetic factors and microRNAs have the potential to control transcript levels of large sets of genes through transcriptional and post-transcriptional mechanisms. Faithful stem cell function is crucial for tissue maintenance and repair throughout life and requires these machineries to establish specific and dynamic transcription programs. However, how miRNAs and chromatin-factors cooperate to achieve this is poorly characterized. I previously developed genetic screening and computational approaches to determine the contribution of functional interplay among 332 chromatin-factors to epidermal differentiation. Now, I will pioneer the concept of genetic interactions between coding (chromatin-factors) and non-coding RNAs (miRNAs) using primary human epidermal stem cells as a well-characterised and clinically relevant model system. My lab will: (1) silence all individual miRNAs expressed in these cells to measure their contribution to stem cell renewal and differentiation. Innovative Bayesian statistics will then be employed to predict which miRNAs and chromatin-factors function together in functional/genetic interactions. (2) We will investigate the mechanism underlying these interactions using genomic, proteomic and cell biological approaches with particular attention to direct cooperation of nuclear miRNAs and chromatin-modifiers in transcription regulation. Together, understanding which genes in the genome cooperate, and how they do so, will not only deepen our understanding of normal biology, it will also help rationalise targeted (combination) therapies for disease, a major goal in modern clinical medicine.'