Lee V, Rodriguez DM, Ganci NK, Zeng S, Ai J, Chao JL, et al. The endogenous repertoire harbors self-reactive CD4+ T cell clones that adopt a follicular helper T cell-like phenotype at steady state. Nat Immunol. 2023;24:487–500.
Article CAS PubMed Google Scholar
Mandl JN, Monteiro JP, Vrisekoop N, Germain RN. T cell-positive selection uses self-ligand binding strength to optimize repertoire recognition of foreign antigens. Immunity. 2013;38:263–74.
Article CAS PubMed PubMed Central Google Scholar
This S, Valbon SF, Lebel MÈ, Melichar HJ. Strength and numbers: the role of affinity and avidity in the ‘quality’ of T cell tolerance. Cells. 2021;10:1530.
Article CAS PubMed PubMed Central Google Scholar
Richards DM, Ruggiero E, Hofer AC, Sefrin JP, Schmidt M, von Kalle C, et al. The contained self-reactive peripheral T cell repertoire: size, diversity, and cellular composition. J Immunol. 2015;195:2067–79.
Article CAS PubMed Google Scholar
Yi J, Jung J, Hong SW, Lee JY, Han D, Kim KS, et al. Unregulated antigen-presenting cell activation by T cells breaks self tolerance. Proc Natl Acad Sci USA 2019;116:1007–16.
Article CAS PubMed Google Scholar
Crotty S. T follicular helper cell biology: a decade of discovery and diseases. Immunity. 2019;50:1132–48.
Article CAS PubMed PubMed Central Google Scholar
This S, Rogers D, Mallet Gauthier È, Mandl JN, Melichar HJ. What’s self got to do with it: sources of heterogeneity among naive T cells. Semin Immunol. 2023;65:101702.
Article CAS PubMed Google Scholar
Rogers D, Sood A, Wang H, van Beek JJP, Rademaker TJ, Artusa P, et al. Pre-existing chromatin accessibility and gene expression differences among naive CD4+ T cells influence effector potential. Cell Rep. 2021;37:110064.
Article CAS PubMed Google Scholar
ElTanbouly MA, Zhao Y, Nowak E, Li J, Schaafsma E, Le Mercier I, et al. VISTA is a checkpoint regulator for naive T cell quiescence and peripheral tolerance. Science. 2020;367:eaay0524.
Article CAS PubMed PubMed Central Google Scholar
Textor J, Buytenhuijs F, Rogers D, Gauthier EM, Sultan S, Wortel IMN, et al. Machine learning analysis of the T cell receptor repertoire identifies sequence features that predict self-reactivity. bioRxiv [Preprint] 2022: p. 2022.11.23.517563.
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