TY - JOUR
T1 - Systems biology approaches for understanding cellular mechanisms of immunity in lymph nodes during infection
AU - Mirsky, Henry P.
AU - Miller, Mark J.
AU - Linderman, Jennifer J.
AU - Kirschner, Denise E.
PY - 2011/10/21
Y1 - 2011/10/21
N2 - 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.
AB - 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.
KW - Agent-based models
KW - Cellular-Potts models
KW - Dendritic cells
KW - Markov models
KW - Two-photon microscopy
UR - http://www.scopus.com/inward/record.url?scp=81155159689&partnerID=8YFLogxK
U2 - 10.1016/j.jtbi.2011.06.037
DO - 10.1016/j.jtbi.2011.06.037
M3 - Review article
C2 - 21798267
AN - SCOPUS:81155159689
SN - 0022-5193
VL - 287
SP - 160
EP - 170
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
IS - 1
ER -