title: Modeling T cell responses to antigenic challenge.
abstract: T cell responses are a crucial part of the adaptive immune system in the fight against infections. This article discusses the use of mathematical models for understanding the dynamics of cytotoxic T lymphocyte (CTL) responses against viral infections. Complementing experimental research, mathematical models have been very useful for exploring new hypotheses, interpreting experimental data, and for defining what needs to be measured to improve understanding. This review will start with minimally parameterized models of CTL responses, which have generated some valuable insights into basic dynamics and correlates of control. Subsequently, more biological complexity is incorporated into this modeling framework, examining different mechanisms of CTL expansion, different effector activities, and the influence of T cell help. Models and results are discussed in the context of data from specific infections.
authors.affiliation: Department of Ecology and Evolutionary Biology and Department of Mathematics, University of California, 321 Steinhaus Hall, Irvine, CA, 92617, USA, dwodarz@uci.edu.
authors.forename: Dominik
authors.initials: D
authors.lastname: Wodarz
mesh_terms: D003198:Computer Simulation; D006801:Humans; D018448:Models, Immunological; D016176:T-Lymphocyte Subsets / Q000276:immunology*; D013602:T-Lymphocytes, Cytotoxic / Q000276:immunology*; D014777:Virus Diseases / Q000276:immunology*