Quantifying changes in the T cell receptor repertoire during thymic development

Author:

Camaglia Francesco1ORCID,Ryvkin Arie2,Greenstein Erez2ORCID,Reich-Zeliger Shlomit2,Chain Benny3ORCID,Mora Thierry1ORCID,Walczak Aleksandra M1ORCID,Friedman Nir2

Affiliation:

1. Laboratoire de physique de l’École normale supérieure, CNRS, PSL University, Sorbonne Université, and Université de Paris

2. Department of Immunology, Weizmann Institute of Science

3. Division of Infection and Immunity, University College London

Abstract

One of the feats of adaptive immunity is its ability to recognize foreign pathogens while sparing the self. During maturation in the thymus, T cells are selected through the binding properties of their antigen-specific T-cell receptor (TCR), through the elimination of both weakly (positive selection) and strongly (negative selection) self-reactive receptors. However, the impact of thymic selection on the TCR repertoire is poorly understood. Here, we use transgenic Nur77-mice expressing a T-cell activation reporter to study the repertoires of thymic T cells at various stages of their development, including cells that do not pass selection. We combine high-throughput repertoire sequencing with statistical inference techniques to characterize the selection of the TCR in these distinct subsets. We find small but significant differences in the TCR repertoire parameters between the maturation stages, which recapitulate known differentiation pathways leading to the CD4+ and CD8+ subtypes. These differences can be simulated by simple models of selection acting linearly on the sequence features. We find no evidence of specific sequences or sequence motifs or features that are suppressed by negative selection. These results favour a collective or statistical model for T-cell self non-self discrimination, where negative selection biases the repertoire away from self recognition, rather than ensuring lack of self-reactivity at the single-cell level.

Funder

CNRS-Weizmann

European Research Council

Agence Nationale de la Recherche

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference52 articles.

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3. Trimmomatic: a flexible trimmer for illumina sequence data;Bolger;Bioinformatics,2014

4. Quorum sensing allows T cells to discriminate between self and nonself;Butler;PNAS,2013

5. Thymic_development_2022;Camaglia,2022

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