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Immunology
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Immunology
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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Immunology
Article . 2018
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Comparative analysis of murine T‐cell receptor repertoires

Authors: Mark Izraelson; Tatiana O. Nakonechnaya; Bruno Moltedo; Evgeniy S. Egorov; Sofya A. Kasatskaya; Ekaterina V. Putintseva; Ilgar Z. Mamedov; +9 Authors

Comparative analysis of murine T‐cell receptor repertoires

Abstract

SummaryFor understanding the rules and laws of adaptive immunity, high‐throughput profiling of T‐cell receptor (TCR) repertoires becomes a powerful tool. The structure of TCR repertoires is instructive even before the antigen specificity of each particular receptor becomes available. It embodies information about the thymic and peripheral selection of T cells; the readiness of an adaptive immunity to withstand new challenges; the character, magnitude and memory of immune responses; and the aetiological and functional proximity of T‐cell subsets. Here, we describe our current analytical approaches for the comparative analysis of murine TCR repertoires, and show several examples of how these approaches can be applied for particular experimental settings. We analyse the efficiency of different metrics used for estimation of repertoire diversity, repertoire overlap, V‐gene and J‐gene segments usage similarity, and amino acid composition of CDR3. We discuss basic differences of these metrics and their advantages and limitations in different experimental models, and we provide guidelines for choosing an efficient way to lead a comparative analysis of TCR repertoires. Applied to the various known and newly developed mouse models, such analysis should allow us to disentangle multiple sophisticated puzzles in adaptive immunity.

Keywords

Immunity, Cellular, Mice, T-Lymphocyte Subsets, Animals, Complementarity Determining Regions

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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
bronze