SERPLUC

Suppression of Enzymes Required for Progression of LUng Cancer

 Coordinatore UNIVERSITY OF GLASGOW 

 Organization address address: University Avenue
city: GLASGOW
postcode: G12 8QQ

contact info
Titolo: Mr.
Nome: Joe
Cognome: Galloway
Email: send email
Telefono: +44 141 330 3884

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 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-2013-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-09-01   -   2017-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITY OF GLASGOW

 Organization address address: University Avenue
city: GLASGOW
postcode: G12 8QQ

contact info
Titolo: Mr.
Nome: Joe
Cognome: Galloway
Email: send email
Telefono: +44 141 330 3884

UK (GLASGOW) coordinator 100˙000.00

Mappa


 Word cloud

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

progression    suppression    screening    expression    rnai    cancer    then    lung    vivo   

 Obiettivo del progetto (Objective)

'Suppression of enzymes required for progression of lung cancer: we propose to combine an elegant genetically engineered mouse model (GEMM) of lung cancer with an in vivo RNAi screening approach in order to functionally identify a) biomarkers of early lung cancer development and b) candidate therapeutic targets whose activities are specifically required for the transition from benign to malignant disease. We will use emerging RNA sequencing technology to identify changes in gene expression associate with early cancer progression in GEMMs of lung cancer and then select targets for RNAi suppression based on a stringent set of selection criteria aimed at zeroing in on potential drug targets, i.e.. proteins with enzymatic activity of any druggable nature that increase with tumour progression. We will then generate focused libraries of shRNAs to suppress expression of selected targets and screen their efficacy in vivo using a cunning 'drop-out' screening method. We will then subject our best candidates to rigorous validation in order to assess their suitability as therapuetic targets in the context of human lung cancer.'

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