Grégoire Altan-Bonnet, Ph.D.
Cancer and Inflammation Program
Building 37, Room 4134
Bethesda, MD 20892
We are interested in developing actionable models of the immune response to design and optimize new immunotherapies. Our premise is that the immune system is a self-organized collection of cells, whose individual activation must be harnessed, tuned, and coaxed at the population level. We rely on new quantitative methods (e.g., single-cell phosphoprofiling by FACS and CyTOF) and computational modeling to identify key limiting steps controlling the balance between response and tolerance in the immune system.
Our computational models are strongly interfaced with our experimental efforts. We model immunological events explicitly, starting from biochemical events (e.g., ligand/receptor interactions) to cellular (signal transduction and gene regulation) to population dynamics. Such integration of multiple spatial- and time-scales is leading to a better understanding of the dynamics of immune responses, and is opening new opportunities for external manipulation and immunotherapies. Our projects go from conceptual and fundamental aspects of the immune system, to very practical applications in the pre-clinical context (profiling of tumors, manipulation of immune responses against tumors).
1994-1995 Master of Science (Physics) - École Normale Supérieure (Lyon, France)
1995-2000 PhD (Physics) - the Rockefeller University (New York NY)
2000-2005 Research fellow (post-doctoral studies) - Laboratory of Immunology, NIAID – Bethesda MD
2005-2011 Assistant member - Computational biology & Immunology programs - Memorial Sloan Kettering - New York NY
2012-2015 Associate member - Computational biology & Immunology programs - Memorial Sloan Kettering - New York NY
2016-present Earl Stadtman investigator - Cancer & Inflammation program - Center for Cancer Research - NCI - Bethesda MD
Voisinne G, Nixon BG, Melbinger A, Gasteiger G, Vergassola M, Altan-Bonnet G. T Cells Integrate Local and Global Cues to Discriminate between Structurally Similar Antigens. Cell Rep. 2015;11(8):1208-19.
Chen YH, Du W, Hagemeijer MC, Takvorian PM, Pau C, Cali A, Brantner CA, Stempinski ES, Connelly PS, Ma HC, Jiang P, Wimmer E, Altan-Bonnet G, Altan-Bonnet N. Phosphatidylserine vesicles enable efficient en bloc transmission of enteroviruses. Cell. 2015;160(4):619-30.
Tkach KE, Barik D, Voisinne G, Malandro N, Hathorn MM, Cotari JW, Vogel R, Merghoub T, Wolchok J, Krichevsky O, Altan-Bonnet G. T cells translate individual, quantal activation into collective, analog cytokine responses via time-integrated feedbacks. Elife. 2014;3:e01944.
Cotari JW, Voisinne G, Dar OE, Karabacak V, Altan-Bonnet G. Cell-to-cell variability analysis dissects the plasticity of signaling of common γ chain cytokines in T cells. Sci Signal. 2013;6(266):ra17.
Feinerman O, Veiga J, Dorfman JR, Germain RN, Altan-Bonnet G. Variability and robustness in T cell activation from regulated heterogeneity in protein levels. Science. 2008;321(5892):1081-4.
Related Scientific Focus Areas
Biomedical Engineering and Biophysics
This page was last updated on June 20th, 2017