GENECADD

GEnetic NEtworks as a tool for anti-CAncer Drug Development

 Coordinatore KAROLINSKA INSTITUTET 

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 Nazionalità Coordinatore Sweden [SE]
 Totale costo 2˙500˙000 €
 EC contributo 2˙500˙000 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2010-AdG_20100317
 Funding Scheme ERC-AG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-03-01   -   2016-02-29

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    STOCKHOLMS UNIVERSITET

 Organization address address: Universitetsvaegen 10
city: STOCKHOLM
postcode: 10691

contact info
Titolo: Dr.
Nome: Esther
Cognome: Edlundh-Rose
Email: send email
Telefono: +44 1865 617 337
Fax: 468164315

SE (STOCKHOLM) beneficiary 572˙950.80
2    KAROLINSKA INSTITUTET

 Organization address address: Nobels Vag 5
city: STOCKHOLM
postcode: 17177

contact info
Titolo: Mrs.
Nome: Jill
Cognome: Blomstrand
Email: send email
Telefono: +46 8 524 876 87

SE (STOCKHOLM) hostInstitution 1˙927˙049.20
3    KAROLINSKA INSTITUTET

 Organization address address: Nobels Vag 5
city: STOCKHOLM
postcode: 17177

contact info
Titolo: Prof.
Nome: Ulf Thomas Edvard
Cognome: Helleday
Email: send email
Telefono: 46852481530
Fax: 46852481425

SE (STOCKHOLM) hostInstitution 1˙927˙049.20

Mappa


 Word cloud

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

small    genetic    molecular    proteins    pathways    sick    inhibitors    recombination    cells    synthetic    lethality    network    chemical    cancer    drug    networks    cellular    functional    lethal    mechanisms    identification    discovery    screens    homologous   

 Obiettivo del progetto (Objective)

'Although several therapies target cellular pathways, current small molecules drug discovery is based on identification of inhibitors to single proteins, without knowledge of whether they are the most advantageous target. The objective of this proposal is to develop a novel method for drug discovery, combining phenotypic cell based screens with functional genetic networks to determine the molecular mechanisms of numerous small molecule inhibitors. This method will enable identification of numerous distinct inhibitors of a particular pathway, as well as providing their molecular mechanism.

Cancer cells harbour gene mutations that make them more reliant on other cellular pathways for survival. Such cellular pathways can be targeted to selectively kill the cancer cells using the concept of synthetic lethality. In this project we want to identify inhibitors of homologous recombination to target cancer using synthetic lethality.

To establish a functional genetic network for homologous recombination, we will first identify all recombination proteins using multiple genome-wide RNAi screens. Then the synthetic sick or lethal interaction map between all recombination proteins is determined by co-depletion of these. Such synthetic sick or lethal network will identify numerous putative targets for anti-cancer treatment. Importantly, using this network for chemical-genetic functional interactions will assist in determinating of the molecular mechanisms of inhibitors. Chemical-genetic networks based on synthetic sickness or lethality can potentially change future drug discovery methods as well as providing new mechanistic insights into the field of toxicology.'

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