Modeling T- and B-cell growth and differentiation.
The control of T- and B-cell proliferation following antigen stimulation lies at the heart of the adaptive immune response. The outcome of a response depends on the number of cells that are activated to go into cycle, the rates at which the cells divide and die, and the number of division cycles the cells undergo. Each of these processes may be under independent control, and the precise outcome of T- or B-cell responses to antigen will depend on how the signals controlling the different events are integrated. In this article, the way different mathematical models in combination with data from carboxyfluorescein diacetate succinamidyl ester (CFSE) experiments can be used to investigate the mechanisms controlling T- and B-cell proliferation is reviewed.
Callard
Robin
R
Immunobiology Unit, Institute of Child Health, University College London, London, UK. rcallard@ich.ucl.ac.uk
Hodgkin
Phil
P
D000818:Animals; D017209:Apoptosis; D001402:B-Lymphocytes / Q000166:cytology / Q000187:drug effects / Q000276:immunology*; D002454:Cell Differentiation; D005452:Fluoresceins / Q000494:pharmacology; D006801:Humans; D008213:Lymphocyte Activation; D018448:Models, Immunological; D013388:Succinimides / Q000494:pharmacology; D013601:T-Lymphocytes / Q000166:cytology / Q000187:drug effects / Q000276:immunology*
C087165:5-(6)-carboxyfluorescein diacetate succinimidyl ester; D005452:Fluoresceins; D013388:Succinimides