Journal of Computational Biology · 2008 · 18 citations · 84 references
Life SciencesCell BiologyImmunologyCell SignalingCellular ImmunologySignal TransductionAntigen RecognitionCell Fate ModelingKinetic ModelingT Cell ActivationT Cell BiologyT Cell Receptor SignalingAntigen Presentation ModelingCell ActivationImmune KineticsReceptor Activation ModelingT Cell Activation KineticsT Cell Activation ModelingT Cell Receptor Recognition
T-cell activation is a crucial step in mounting of the immune response. The dynamics of T-cell receptor (TCR) specific recognition of peptide presented by major histocompatibility complex (MHC) molecule decides the fate of the T cell. Several biochemical interactions interfere resulting in a highly complex mechanism that would be difficult to understand without computer help. The aim of the present study was to define a mathematical model in order to approach the kinetics of monoclonal T-cell-specific activation. The reaction scheme was first described and the model was tested using experimental parameters from the published data. Simulations were concordant with experimental data showing proportional decrease of membrane TCR and production of interleukin-2 (IL-2). Agonist and antagonist peptides induce different levels of intracellular signal that could make the yes or no decision for entry to cell cycle. Different conditions (peptide concentrations, initial TCR density and exogenous IL-2 levels) can be tested. Several parameters are missing for parameters estimation and adjustment before it could be adapted for a polyclonal T-cell reaction model. However, the model should be of interest in setting experiments, simulation of clinical responses and optimization of preventive or therapeutic immunotherapy.
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The Immunological Synapse: A Molecular Machine Controlling T Cell Activation
Arash Grakoui, Shannon K. Bromley, Cenk Sumen et al. · Science · 1999 · 3.1K citations
Serial triggering of many T-cell receptors by a few peptide–MHC complexes
Salvatore Valitutti, Sabina Müller, Marina Cella et al. · Nature · 1995 · 1.1K citations