FUTUGEMET

Functional tumour genomics using metabolomic profiling

 Coordinatore CANCER RESEARCH UK 

 Organization address address: ST JOHN STREET 407 ANGEL BUILDING
city: LONDON
postcode: EC1V 4AD

contact info
Titolo: Dr.
Nome: Emma
Cognome: Ryley
Email: send email
Telefono: +44 1223 404262
Fax: +44 1223 404199

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 180˙783 €
 EC contributo 180˙783 €
 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-IEF-2008
 Funding Scheme MC-IEF
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-05-01   -   2011-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    CANCER RESEARCH UK

 Organization address address: ST JOHN STREET 407 ANGEL BUILDING
city: LONDON
postcode: EC1V 4AD

contact info
Titolo: Dr.
Nome: Emma
Cognome: Ryley
Email: send email
Telefono: +44 1223 404262
Fax: +44 1223 404199

UK (LONDON) coordinator 180˙783.75

Mappa


 Word cloud

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

tumour    expression    cells    us    metabolic    drug    gene    structure    genetic    metabolite    profiles    metabolome    genes    genome   

 Obiettivo del progetto (Objective)

'Metabolite profiling, as demonstrated by the host laboratory, has the power to discriminate single gene alterations and to identify metabolite biomarkers that potentially can function as surrogates for the genetic event. In addition they have shown that pattern recognition within NMR-derived metabolome profiles from gene deletion mutants can be used as a functional genomics tool to confirm the identity of modules or co-sets predicted by genome-scale metabolic models, demonstrating how metabolomic data can be used to understand the structure of metabolic networks, relating the metabolome to the genome. The aim of this project is to define the metabolic profiles associated with the expression of specific genes in tumour cells. This will allow us to define the metabolic network structure in tumour cells (and how it is related to expression of different oncogenes and tumour suppressor genes), and to identify metabolites that are correlated with common genetic changes in cancer cells. This should allow us to design new molecular imaging methods for detecting tumours and their response to treatment. Moreover, the proposed work will also allow us to understand the effects of specific drugs, by allowing us to monitor the modulation of the activity of specific drug targets and also by identifying off-target drug effects.'

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