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Discovery of Invariant T Cells by Next-Generation Sequencing of the Human TCR α-Chain Repertoire
Author(s) -
Barbera D. C. van Schaik,
Paul L. Klarenbeek,
Marieke E. Doorenspleet,
Antoine H. C. van Kampen,
D. Branch Moody,
Niek de Vries,
Ildiko Van Rhijn
Publication year - 2014
Publication title -
the journal of immunology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.737
H-Index - 372
eISSN - 1550-6606
pISSN - 0022-1767
DOI - 10.4049/jimmunol.1401380
Subject(s) - t cell receptor , repertoire , biology , major histocompatibility complex , gene , invariant (physics) , computational biology , t cell , immune system , genetics , mathematics , physics , acoustics , mathematical physics
During infection and autoimmune disease, activation and expansion of T cells take place. Consequently, the TCR repertoire contains information about ongoing and past diseases. Analysis and interpretation of the human TCR repertoire are hampered by its size and stochastic variation and by the diversity of Ags and Ag-presenting molecules encoded by the MHC, but are highly desirable and would greatly impact fundamental and clinical immunology. A subset of the TCR repertoire is formed by invariant T cells. Invariant T cells express interdonor-conserved TCRs and recognize a limited set of Ags, presented by nonpolymorphic Ag-presenting molecules. Discovery of the three known invariant T cell populations has been a tedious and slow process, identifying them one by one. Because conservation of the TCR α-chain of invariant T cells is much higher than the β-chain, and because the TCR α-chain V gene segment TRAV1-2 is used by two of the three known invariant TCRs, we employed next-generation sequencing of TCR α-chains that contain the TRAV1-2 gene segment to identify 16 invariant TCRs shared among many blood donors. Frequency analysis of individual clones indicates these T cells are expanded in many donors, implying an important role in human immunity. This approach extends the number of known interdonor-conserved TCRs and suggests that many more exist and that these TCR patterns can be used to systematically evaluate human Ag exposure.

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