Stochastic Descriptors to Study the Fate and Potential of Naive T cell Clonotypes in the Periphery

Overview

Journal J Math Biol

Date 2016 Jun 29

PMID 27350044

Citations 2

Authors

J R Artalejo

A Gomez-Corral

M Lopez-Garcia

C Molina-Paris

Affiliations

Soon will be listed here.

Abstract

The population of naive T cells in the periphery is best described by determining both its T cell receptor diversity, or number of clonotypes, and the sizes of its clonal subsets. In this paper, we make use of a previously introduced mathematical model of naive T cell homeostasis, to study the fate and potential of naive T cell clonotypes in the periphery. This is achieved by the introduction of several new stochastic descriptors for a given naive T cell clonotype, such as its maximum clonal size, the time to reach this maximum, the number of proliferation events required to reach this maximum, the rate of contraction of the clonotype during its way to extinction, as well as the time to a given number of proliferation events. Our results show that two fates can be identified for the dynamics of the clonotype: extinction in the short-term if the clonotype experiences too hostile a peripheral environment, or establishment in the periphery in the long-term. In this second case the probability mass function for the maximum clonal size is bimodal, with one mode near one and the other mode far away from it. Our model also indicates that the fate of a recent thymic emigrant (RTE) during its journey in the periphery has a clear stochastic component, where the probability of extinction cannot be neglected, even in a friendly but competitive environment. On the other hand, a greater deterministic behaviour can be expected in the potential size of the clonotype seeded by the RTE in the long-term, once it escapes extinction.

Citing Articles

Fate of a Naive T Cell: A Stochastic Journey.

De la Higuera L, Lopez-Garcia M, Castro M, Abourashchi N, Lythe G, Molina-Paris C Front Immunol. 2019; 10:194.

PMID: 30894850 PMC: 6415700. DOI: 10.3389/fimmu.2019.00194.

Quantifying the phosphorylation timescales of receptor-ligand complexes: a Markovian matrix-analytic approach.

Lopez-Garcia M, Nowicka M, Bendtsen C, Lythe G, Ponnambalam S, Molina-Paris C Open Biol. 2018; 8(9).

PMID: 30232099 PMC: 6170503. DOI: 10.1098/rsob.180126.

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