MRM-YEAST METABOLISM

A Systems Biology Approach to Elucidate the Yeast Metabolic Network

 Coordinatore EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH 

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Rudolf
Cognome: Aebersold
Email: send email
Telefono: +41 44 633 3170
Fax: +41 44 633 1051

 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) 2008-05-01   -   2010-04-30

 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: Rudolf
Cognome: Aebersold
Email: send email
Telefono: +41 44 633 3170
Fax: +41 44 633 1051

CH (ZUERICH) coordinator 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

metabolic    metabolism    biology    data    first    biological    sites    yeast    quantitative    model    proteomic    models    cerevisiae    generate    mathematical   

 Obiettivo del progetto (Objective)

'The ultimate goal of systems biology is to generate mathematical models to comprehensively describe the dynamics of a biological system. Among all biochemical and informational systems that operate in cells, metabolism is unique because the composition and topology of the network of metabolic reactions is almost completely known. What is currently poorly understood, is how this system operates, how it is controlled and how it adapts to changing conditions of supply and demand. Most current models of metabolism and of biological processes in general are limited by the incompleteness and the restricted diversity of the data they are based on. In this project I propose to generate, for the first time, quantitative data sets of all metabolic proteins and their regulatory phosphorylation sites in the model organism yeast Saccharomyces cerevisiae, under a defined set of conditions. Such a comprehensive proteomic analysis will be achieved by means of a novel targeted proteomics approach, pioneered in the host group and which I preliminarily developed in the first months of my work. In the context of a well-established collaboration with metabolomics and computational systems biology groups at ETH Zurich, the generated proteomic and phosphoproteomics data on metabolic enzymes will be coupled to quantitative data of the associated mRNA transcripts, metabolites and metabolic fluxes. Integration of these different quantitative data types will be done with a genome-scale mathematical model of the whole yeast metabolism. The data generated will be unprecedented and the research will set us on a path towards the understanding of the control structure of S. cerevisiae metabolism and the identification of key regulation sites that actively control metabolic processes, advancing both the science of systems biology as well as our understanding of a universal biological system.'

Altri progetti dello stesso programma (FP7-PEOPLE)

IBERENCLOGIS (2013)

Assessing early social complexity in the Late Prehistory of Southern Iberia: Spatial technologies applied to the study of chalcolithic walled and ditched enclosures

Read More  

RESEARCH FUN (2009)

RESEARCHER'S NIGHT IN LATVIA

Read More  

TOP (0)

Trophodynamics of Organic Pollutants Studied by Compound-Specific Isotope Analysis

Read More