MESEL

Metabolomics of single eukaryotic cells

 Coordinatore 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

 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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fundamental    metabolomics    biology    platform    cellular    single    data    metabolites    molecular    metabolome    cell    model   

 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.'

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