MESEL

Metabolomics of single eukaryotic cells

Coordinatore	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH    more  Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 contact info Titolo: Prof. Nome: Zenobi Cognome: Renato Email: send email Telefono: -5012 Fax: -1927
Nazionalità Coordinatore	Switzerland [CH]
Totale costo	178˙163 €
EC contributo	178˙163 €
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-2007-2-1-IEF
Funding Scheme	MC-IEF
Anno di inizio	2008
Periodo (anno-mese-giorno)	2008-09-01   -   2010-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH  Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 contact info Titolo: Prof. Nome: Zenobi Cognome: Renato Email: send email Telefono: -5012 Fax: -1927	CH (ZUERICH)	coordinator	0.00

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 Obiettivo del progetto (Objective)

'We propose to develop an analytical platform for single-cell metabolomics and apply it in fundamental studies carried out on a model eukaryotic organism, Saccharomyces cerevisiae. Due to the minute amounts of metabolites present in each cell, almost all current methods used in biochemistry and molecular biology provide data that are averaged over an entire cell population while even cells in monoclonal cultures display profound variations on all physiological levels. This approach to molecular biology is dramatically altering our view of the key questions in cellular function and interplay. The ultimate quest for a quantitative and mechanistic model comprising cellular processes requires a new methodology. The proposed single-cell metabolome studies will be achieved through microfluidic cell processing for sample preparation, on-line microscale separation of metabolites and detection by a high sensitivity mass spectrometric method. Our single-cell approach to metabolomics research will permit us to collect data on the cellular metabolome, which can then be utilized for the modelling of cellular metabolism. This new platform for systems biology can find numerous applications ranging from fundamental cell science to personalized medication.'