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

 

Dwivedi A, Khim N, Reynes C, Ravel P, Ma L, Tichit M, Bourchier C, Kim S, Dourng D, Khean C, Chim P, Siv S, Frutos R, Lek D, Mercereau-Puijalon O, Ariey F, Menard D, Cornillot E. Plasmodium falciparum parasite population structure and gene flow associated to anti-malarial drugs resistance in Cambodia. Malar J. 2016 Jun 14;15:319.

 

Cornillot E, Dassouli A, Pachikara N, Lawres L, Renard I, Francois C, Randazzo S, Brès V, Garg A, Brancato J, Pazzi JE, Pablo J, Hung C, Teng A, Shandling AD, Huynh VT, Krause PJ, Lepore T, Delbecq S, Hermanson G, Liang X, Williams S, Molina DM, Ben Mamoun C. A targeted immunomic approach identifies diagnostic antigens in the human pathogen Babesia microti. Transfusion. 2016 May 17. [Epub ahead of print]

 

Beziaud L, Mansi L, Ravel P, Lauret Marie-Joseph E, Laheurte C, Rangan L, Bonnefoy F, Pallandre JR, Boullerot L, Gamonet C, Vrecko S, Queiroz L, Maurina T, Mouillet G, Nguyen Tan Hon T, Curtit E, Royer B, Gaugler B, Bayry J, Tartour E, Thierry-Vuillemin A, Pivot X, Borg C, Godet Y, Adotévi O. Rapalogs efficacy relies on the modulation of antitumor T cell immunity. Cancer Res. 2016 May 17.[Epub ahead of print]

 

Mazouzi A, Stukalov A, Müller AC, Chen D, Wiedner M, Prochazkova J, Chiang SC, Schuster M, Breitwieser FP, Pichlmair A, El-Khamisy SF, Bock C, Kralovics R, Colinge J, Bennett KL, Loizou JI. A Comprehensive Analysis of the Dynamic Response to Aphidicolin-Mediated Replication Stress Uncovers Targets for ATM and ATMIN. Cell Rep. 2016 Apr 14. [Epub ahead of print]


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