Comparative analysis of murine T‐cell receptor repertoires |
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| Authors: | Evgeniy S. Egorov Sofya A. Kasatskaya Ekaterina V. Putintseva Ilgar Z. Mamedov Dmitriy B. Staroverov Irina I. Shemiakina Maria Y. Zakharova Alexey N. Davydov Dmitriy A. Bolotin Mikhail Shugay Dmitriy M. Chudakov Alexander Y. Rudensky Olga V. Britanova |
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| Affiliation: | 1. Nizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia;2. Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia;3. Pirogov Russian National Research Medical University, Moscow, Russia;4. Central European Institute of Technology, Brno, Czech Republic;5. MiLaboratory LLC, Skolkovo Innovation Centre, Moscow, Russia;6. Centre for Data‐Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Skolkovo, Russia;7. Howard Hughes Medical Institute and Immunology Program, Ludwig Center at Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA |
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| Abstract: | ![]()
For 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. |
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| Keywords: | aging diversity functional T‐cell subsets T cell T‐cell receptor repertoires |
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