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A Review of Mathematical Models for T Cell Receptor Triggering and Antigen Discrimination

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Mathematical Models and Immune Cell Biology

Abstract

Theoretical studies of T cell receptor signalling and T cell activation have become a well-known part of immunology and the models described in this chapter provide a good basis for future studies. Nonetheless it is crucial that, over the next few years, modelers seek to expand the scope of their efforts and provide a more comprehensive, predictive and multifaceted approach to T cell receptor signalling. Currently available models usually provide qualitative results and cannot be confidently parameterized. To obtain more precise and predictive models will be difficult but is plausible given improvements in quantitative experimental techniques and their quick adoption by experimentalists.

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Acknowledgments

DC and OD acknowledge financial support from the National Science and Engineering Research Council of Canada and the Mathematics of Information Technology and Complex Systems National Centre of Excellence. PAV is supported by the UK Medical Research Council. We also thank Salvatore Valitutti and Raibatak Das for valuable discussions.

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Authors and Affiliations

  1. Department of Mathematics and Institute of Applied Mathematics, University of British Columbia, Vancouver, BC, Canada, V6T 1Z2

    Daniel Coombs

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  1. Daniel Coombs
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  2. Omer Dushek
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  3. P. Anton van der Merwe
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Correspondence to Daniel Coombs .

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  1. School of Mathematics, Dept. Applied Mathematics, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, United Kingdom

    Carmen Molina-París

  2. School of Mathematics, Dept. Applied Mathematics, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, United Kingdom

    Grant Lythe

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Coombs, D., Dushek, O., van der Merwe, P.A. (2011). A Review of Mathematical Models for T Cell Receptor Triggering and Antigen Discrimination. In: Molina-París, C., Lythe, G. (eds) Mathematical Models and Immune Cell Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7725-0_2

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