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How Naive T-Cell Clone Counts Are Shaped By Heterogeneous Thymic Output and Homeostatic Proliferation.
Dessalles, Renaud; Pan, Yunbei; Xia, Mingtao; Maestrini, Davide; D'Orsogna, Maria R; Chou, Tom.
Afiliação
  • Dessalles R; Department of Computational Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA, United States.
  • Pan Y; Department of Mathematics, California State University at Northridge, Los Angeles, CA, United States.
  • Xia M; Department of Mathematics, University of California at Los Angeles (UCLA), Los Angeles, CA, United States.
  • Maestrini D; Department of Computational Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA, United States.
  • D'Orsogna MR; Department of Computational Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA, United States.
  • Chou T; Department of Mathematics, California State University at Northridge, Los Angeles, CA, United States.
Front Immunol ; 12: 735135, 2021.
Article em En | MEDLINE | ID: mdl-35250963
ABSTRACT
The specificity of T cells is that each T cell has only one T cell receptor (TCR). A T cell clone represents a collection of T cells with the same TCR sequence. Thus, the number of different T cell clones in an organism reflects the number of different T cell receptors (TCRs) that arise from recombination of the V(D)J gene segments during T cell development in the thymus. TCR diversity and more specifically, the clone abundance distribution, are important factors in immune functions. Specific recombination patterns occur more frequently than others while subsequent interactions between TCRs and self-antigens are known to trigger proliferation and sustain naive T cell survival. These processes are TCR-dependent, leading to clone-dependent thymic export and naive T cell proliferation rates. We describe the heterogeneous steady-state population of naive T cells (those that have not yet been antigenically triggered) by using a mean-field model of a regulated birth-death-immigration process. After accounting for random sampling, we investigate how TCR-dependent heterogeneities in immigration and proliferation rates affect the shape of clone abundance distributions (the number of different clones that are represented by a specific number of cells, or "clone counts"). By using reasonable physiological parameter values and fitting predicted clone counts to experimentally sampled clone abundances, we show that realistic levels of heterogeneity in immigration rates cause very little change to predicted clone-counts, but that modest heterogeneity in proliferation rates can generate the observed clone abundances. Our analysis provides constraints among physiological parameters that are necessary to yield predictions that qualitatively match the data. Assumptions of the model and potentially other important mechanistic factors are discussed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Receptores de Antígenos de Linfócitos T / Linfócitos T Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Immunol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Receptores de Antígenos de Linfócitos T / Linfócitos T Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Immunol Ano de publicação: 2021 Tipo de documento: Article