Comparative analysis of murine T-cell receptor repertoires
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem, přehledy
Grantová podpora
P30 CA008748
NCI NIH HHS - United States
PubMed
29080364
PubMed Central
PMC5765371
DOI
10.1111/imm.12857
Knihovny.cz E-zdroje
- Klíčová slova
- T cell, T-cell receptor repertoires, aging, diversity, functional T-cell subsets,
- MeSH
- buněčná imunita fyziologie MeSH
- hypervariabilní oblasti genetika imunologie MeSH
- myši MeSH
- T-lymfocyty - podskupiny cytologie imunologie MeSH
- zvířata MeSH
- Check Tag
- myši MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
- Názvy látek
- hypervariabilní oblasti MeSH
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.
Central European Institute of Technology Brno Czech Republic
MiLaboratory LLC Skolkovo Innovation Centre Moscow Russia
Nizhny Novgorod State Medical Academy Nizhny Novgorod Russia
Pirogov Russian National Research Medical University Moscow Russia
Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry Moscow Russia
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