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Stochastic niche structure and diversity maintenance in the T cell repertoire

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Stirk, Emily R., Molina-Paris, Carmen and Berg, Hugo van den, 1968-. (2008) Stochastic niche structure and diversity maintenance in the T cell repertoire. Journal of Theoretical Biology, Vol.255 (No.2). pp. 237-249. ISSN 0022-5193

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Official URL: http://dx.doi.org/10.1016/j.jtbi.2008.07.017

Abstract

The reliability of the immune response to pathogenic challenge depends critically on the size and diversity of the T cell repertoire. We study naive T cell repertoire diversity maintenance by a stochastic model that incorporates the concept of competition between T cells for survival stimuli emanating from self-antigen presenting cells (APCs). in the mean field approximation we show that clonotype extinction is certain and compute mean extinction times. We introduce the concept of mean niche overlap and show that clones with a mean niche overlap greater than one have a short repertoire lifespan. This selection differential induces minimal recognition commonality between T cell receptors (TCRs) resulting in a diverse T cell repertoire. (C) 2008 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QH Natural history > QH301 Biology
Divisions: Faculty of Science > Mathematics
Library of Congress Subject Headings (LCSH): Lymphocyte transformation, Markov processes, Birth and death processes (Stochastic processes), Distribution (Probability theory), T cells
Journal or Publication Title: Journal of Theoretical Biology
Publisher: Elsevier
ISSN: 0022-5193
Date: 21 November 2008
Volume: Vol.255
Number: No.2
Number of Pages: 13
Page Range: pp. 237-249
Identification Number: 10.1016/j.jtbi.2008.07.017
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Engineering and Physical Sciences Research Council (EPSRC), University of Leeds
References:
URI: http://wrap.warwick.ac.uk/id/eprint/29003

Data sourced from Thomson Reuters' Web of Knowledge

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