PNET

Principles of biomolecular networks

Coordinatore	WEIZMANN INSTITUTE OF SCIENCE    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Israel [IL]
Totale costo	2˙311˙000 €
EC contributo	2˙311˙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-ADG
Funding Scheme	ERC-AG
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-02-01   -   2019-01-31

 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˙311˙000.00
2	WEIZMANN INSTITUTE OF SCIENCE  Organization address address: HERZL STREET 234 city: REHOVOT postcode: 7610001 contact info Titolo: Prof. Nome: Naama Cognome: Barkai Email: send email Telefono: +972 8 934 4429 Fax: +972 8 934 4165	IL (REHOVOT)	hostInstitution	2˙311˙000.00

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 Obiettivo del progetto (Objective)

'Cells process information using biochemical circuits of interacting proteins and genes. We wish to define principles guiding the design of those circuits. The interplay between variability and robustness is of key interest to us. Bio-molecular processes are stochastic, environmental conditions fluctuate, and sequence polymorphisms are abundant. How is variability buffered to maintain reproducible outcomes? Can variability enhance computational abilities? What is the impact of variability on bio-molecular circuit design? We will explore those fundamental questions in three contexts: Source of variability in Gene expression: We previously examined the mechanistic basis of expression variability, defining promoter structures associated with low vs. high variability. We will now address the more challenging question: what evolutionary pressures shape the expression program? On the network level, we will define mutual effects of selection for increased expression and for optimal growth. On the metabolic level, we will define which aspect of the expression process is limiting and the genomic consequences of this limitation. Role of expression variability in Nutrient homeostasis: We recently reported that repression of high affinity transporter in rich nutrient (the ‘dual-transporter’ motif) enables advanced preparation to nutrient depletion. We will now validate an additional predicted property of this motif: cells become committed to the starvation program, escaping it due to expression noise only. To this end, we will introduce a novel method for modulating expression noise while maintaining mean abundance. Buffering variability in Embryonic patterning: Buffering fluctuations is essential in embryonic patterning. We previously established that the embryonic DV axis of Drosophila is robustly patterned through the newly defined shuttling mechanism. We will quantify the ability of this system to buffer size variations (scaling), and reveal the underlying scaling mechanism.'