Francais

Summary

Cancer bioinformatics and systems biology (IRCM teams)

Team Leader  : Jacques Colinge
 
Institut de Recherche en
Cancérologie de Montpellier
Campus Val d’Aurelle
34298 Montpellier cedex 5
Tél. : 33 (0)4 67 61 23 92
Fax : 33 (0)4 67 61 37 87
jacques.colinge@inserm.fr
 
Research topics
 

The cancer bioinformatics and systems biology team is a newly established computational group applying the methods of large-scale dataset analysis and systems biology to cancer research. We are especially interested in the application of network biology concepts for this purpose. The main themes we want to develop are: personalized medicine; cancer drug mechanism of action, side effects, and repurposing; combined therapies; cancer pathways modeling at multiple scales.


We are also interested in the developments of key statistical and mathematical models required by technologies which play an important role in cancer biology investigations, e.g., quantitative mass spectrometry for posttranslational modifications dynamics (phosphorylation, histone acetylations and methylations, etc.) and protein interaction mapping (protein complexes, protein-drug binding, protein-nucleic acid interactions).

 

 
Recent Publications

 

Boulos RE, Tremblay N, Arneodo A, Borgnat P, Audit B. Multi-scale structural community organisation of the human genome. BMC Bioinformatics. 2017 Apr 11;18(1): 209. doi: 10.1186/s12859-017 - 1616-x.

 

Sobecki M, Mrouj K, Colinge J, Gerbe F, Jay P, Krasinska L, Dulic V, Fisher D. Cell cycle regulation accounts for variability in Ki-67 expression levels. Cancer Res. 2017 Mar 10. pii: canres.0707.2016. doi: 10.1158/0008-5472.CAN-16-0707. [Epub ahead of print]

 

Martins R, Maier J, Gorki AD, Huber KV, Sharif O, Starkl P, Saluzzo S, Quattrone F, Gawish R, Lakovits K, Aichinger MC, Radic-Sarikas B, Lardeau CH, Hladik A, Korosec A, Brown M, Vaahtomeri K, Duggan M, Kerjaschki D, Esterbauer H, Colinge J, Eisenbarth SC, Decker T, Bennett KL, Kubicek S, Sixt M, Superti-Furga G, Knapp S. Heme drives hemolysis-induced susceptibility to infection via disruption of phagocyte functions. Nat Immunol. 2016 Dec;17(12):1361-1372. doi: 10.1038/ni.3590.

 

Hart RJ, Cornillot E, Abraham A, Molina E, Nation CS, Ben Mamoun C, Aly AS. Genetic Characterization of Plasmodium Putative Pantothenate Kinase Genes Reveals Their Essential Role in Malaria Parasite Transmission to the Mosquito. Sci Rep. 2016 Sep 20;6:33518. doi: 10.1038/ srep 33518.


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© Institut de Recherche en Cancérologie de Montpellier - 2011 - Tous droits réservés - Mentions légales - Conception : ID Alizés