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Systems biology approaches for understanding cellular mechanisms of immunity in lymph nodes during infection

期刊

JOURNAL OF THEORETICAL BIOLOGY
卷 287, 期 -, 页码 160-170

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2011.06.037

关键词

Agent-based models; Cellular-Potts models; Markov models; Two-photon microscopy; Dendritic cells

资金

  1. National Institute of Health (NIH) [R33HL092844, R33HL092853, R01 HL106804]

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Adaptive immunity is initiated in secondary lymphoid tissues when naive T cells recognize foreign antigen presented as MHC-bound peptide on the surface of dendritic cells. Only a small fraction of T cells in the naive repertoire will express T cell receptors specific for a given epitope, but antigen recognition triggers T cell activation and proliferation, thus greatly expanding antigen-specific clones. Expanded T cells can serve a helper function for B cell responses or traffic to sites of infection to secrete cytokines or kill infected cells. Over the past decade, two-photon microscopy of lymphoid tissues has shed important light on T cell development, antigen recognition, cell trafficking and effector functions. These data have enabled the development of sophisticated quantitative and computational models that, in turn, have been used to test hypotheses in silico that would otherwise be impossible or difficult to explore experimentally. Here, we review these models and their principal findings and highlight remaining questions where modeling approaches are poised to advance our understanding of complex immunological systems. (C) 2011 Elsevier Ltd. All rights reserved.

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