Previous mathematical models of CTL responses assumed that CTL expansion required continuous antigenic stimulation. Recent experiments have shown, however, that a single encounter with antigen can send CTL into a program of proliferation and differentiation. Execution of the program does not require further antigenic stimulation, and leads to the generation of effector and memory CTL. The proposal aims to construct and analyze mathematical models which describe the process of programmed CTL proliferation, and to couple the modeling work with experimental studies through a specific collaboration. The basic mathematical model will be validated with data from VSV infected mice, and this will involve the measurement of crucial parameters. It will be compared how the programmed proliferation model differs from the continuous stimulation models which have been used so far. Are the results from the continuous stimulation models obsolete or do they remain robust? Why has programmed proliferation evolved? After this general analysis two specific aspects of CTL dynamics will be investigated in the context of programmed proliferation. These are the role of effector molecules (such as perform and IFN-g) for CTL dynamics, and the role of CD4 T cell help. The modeling work will be complemented by experiments with VSV and LCMV infected mice.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI058153-04
Application #
7391816
Study Section
Special Emphasis Panel (ZRG1-MABS (01))
Program Officer
Gezmu, Misrak
Project Start
2005-07-01
Project End
2010-03-31
Budget Start
2008-04-01
Budget End
2009-03-31
Support Year
4
Fiscal Year
2008
Total Cost
$106,389
Indirect Cost
Name
University of California Irvine
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
Wodarz, Dominik; Hofacre, Andrew; Lau, John W et al. (2012) Complex spatial dynamics of oncolytic viruses in vitro: mathematical and experimental approaches. PLoS Comput Biol 8:e1002547
Katouli, Allen A; Komarova, Natalia L (2011) The worst drug rule revisited: mathematical modeling of cyclic cancer treatments. Bull Math Biol 73:549-84
Komarova, Natalia L (2011) Mathematical modeling of cyclic treatments of chronic myeloid leukemia. Math Biosci Eng 8:289-306
Wodarz, Dominik; Levy, David N (2011) Effect of multiple infection of cells on the evolutionary dynamics of HIV in vivo: implications for host adaptation mechanisms. Exp Biol Med (Maywood) 236:926-37
Wodarz, Dominik; Levy, David N (2011) Effect of different modes of viral spread on the dynamics of multiply infected cells in human immunodeficiency virus infection. J R Soc Interface 8:289-300
Komarova, Natalia L; Wodarz, Dominik (2010) ODE models for oncolytic virus dynamics. J Theor Biol 263:530-43
Wodarz, Dominik; Levy, David N (2009) Multiple HIV-1 infection of cells and the evolutionary dynamics of cytotoxic T lymphocyte escape mutants. Evolution 63:2326-39
Wodarz, Dominik; Komarova, Natalia (2009) Towards predictive computational models of oncolytic virus therapy: basis for experimental validation and model selection. PLoS One 4:e4271
Komarova, Natalia L; Sadovsky, Alexander V; Wan, Frederic Y M (2008) Selective pressures for and against genetic instability in cancer: a time-dependent problem. J R Soc Interface 5:105-21
Wodarz, Dominik (2008) Immunity and protection by live attenuated HIV/SIV vaccines. Virology 378:299-305

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