Modelling T cell activation, proliferation, and homeostasis

Yates, A. J. , Chan, C. C.T. and Callard, R. E. (2005) Modelling T cell activation, proliferation, and homeostasis. In: Paton, R. and McNamara, L. A. (eds.) Multidisciplinary Approaches to Theory in Medicine. Series: Studies in multidisciplinarity, 3 (6). Elsevier, pp. 281-308. ISBN 9780444518064 (doi: 10.1016/S1571-0831(06)80020-1)

Abstract

This chapter discusses the biology of T-cell receptor (TCR) activation, proliferation, and homeostasis and explains the way in which mathematical approaches have enhanced the understanding of these processes. T cells are thymus-derived lymphocytes with clonally distributed surface receptors that recognize and respond to antigen in association with self-major histocompatibility antigens expressed on antigen-presenting cells. Depending on the nature of the signals they receive following antigen recognition, they can differentiate into effector cells with cytotoxic (Tc), helper (Th), or regulatory (Treg) functions. The picture that has emerged is more complex than what was imagined earlier, and hundreds of different molecules that determine T-cell responses have now been identified, including cell-surface receptors and soluble cytokines. Experimental investigations need to be combined with mathematical modeling if the understanding of T-cell responses is to progress beyond being purely descriptive. The need for a mathematical approach is exemplified by the increasing number of mathematical models published in recent years dealing with all aspects of T-cell biology. The essence of a good model is to understand and make predictions of biological behavior in the simplest way possible. In biology, this can mean finding the minimum number of key components and interactions required for a particular function, which is often a difficult task.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Yates, Professor Andrew
• Authors: Yates, A. J., Chan, C. C.T., and Callard, R. E.
• College/School: College of Medical Veterinary and Life Sciences > School of Infection & Immunity
• Publisher: Elsevier
• ISSN: 15710831
• ISBN: 9780444518064