Literature DB >> 10605002

Deriving quantitative constraints on T cell selection from data on the mature T cell repertoire.

V Detours1, R Mehr, A S Perelson.   

Abstract

The T cell repertoire is shaped in the thymus through positive and negative selection. Thus, data about the mature repertoire may be used to infer information on how TCR generation and selection operate. Assuming that T cell selection is affinity driven, we derive the quantitative constraints that the parameters driving these processes must fulfill to account for the experimentally observed levels of alloreactivity, self MHC restriction and the frequency of cells recognizing a given foreign Ag. We find that affinity-driven selection is compatible with experimental estimates of these latter quantities only if 1) TCRs see more peptide residues than MHC polymorphic residues, 2) the majority of positively selected clones are deleted by negative selection, 3) between 1 and 3.6 clonal divisions occur on average in the thymus after completion of TCR rearrangement, and 4) selection is driven by 103-105 self peptides.

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Year:  2000        PMID: 10605002     DOI: 10.4049/jimmunol.164.1.121

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  10 in total

1.  Activation-threshold tuning in an affinity model for the T-cell repertoire.

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Review 2.  Indoctrinating T cells to attack pathogens through homeschooling.

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3.  Revisiting thymic positive selection and the mature T cell repertoire for antigen.

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4.  Effects of thymic selection on T cell recognition of foreign and tumor antigenic peptides.

Authors:  Jason T George; David A Kessler; Herbert Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-05       Impact factor: 11.205

5.  The dual role of autoimmune regulator in maintaining normal expression level of tissue-restricted autoantigen in the thymus: A modeling investigation.

Authors:  Tina M Mitre; Massimo Pietropaolo; Anmar Khadra
Journal:  Math Biosci       Date:  2016-10-17       Impact factor: 2.144

6.  Is T Cell Negative Selection a Learning Algorithm?

Authors:  Inge M N Wortel; Can Keşmir; Rob J de Boer; Judith N Mandl; Johannes Textor
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7.  Positive and negative selection, self-nonself discrimination and the roles of costimulation and anergy.

Authors:  P Mostardinha; F Vistulo de Abreu
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8.  Models of self-peptide sampling by developing T cells identify candidate mechanisms of thymic selection.

Authors:  Iren Bains; Hisse M van Santen; Benedict Seddon; Andrew J Yates
Journal:  PLoS Comput Biol       Date:  2013-07-25       Impact factor: 4.475

Review 9.  Mechanisms Underlying CD4+ Treg Immune Regulation in the Adult: From Experiments to Models.

Authors:  Marta Caridade; Luis Graca; Ruy M Ribeiro
Journal:  Front Immunol       Date:  2013-11-18       Impact factor: 7.561

Review 10.  Theories and quantification of thymic selection.

Authors:  Andrew J Yates
Journal:  Front Immunol       Date:  2014-02-04       Impact factor: 7.561

  10 in total

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