| Literature DB >> 31101906 |
Muhammad Ali1,2, Zsofia Foldvari1,2, Eirini Giannakopoulou1,2, Maxi-Lu Böschen1,2, Erlend Strønen1,2, Weiwen Yang1,2, Mireille Toebes3, Benjamin Schubert4,5,6,7,8, Oliver Kohlbacher4,5,9,10, Ton N Schumacher3, Johanna Olweus11,12.
Abstract
The identification of immunogenic neoantigens and their cognate T cells represents the most crucial and rate-limiting steps in the development of personalized cancer immunotherapies that are based on vaccination or on infusion of T cell receptor (TCR)-engineered T cells. Recent advances in deep-sequencing technologies and in silico prediction algorithms have allowed rapid identification of candidate neoepitopes. However, large-scale validation of putative neoepitopes and the isolation of reactive T cells are challenging because of the limited availablity of patient material and the low frequencies of neoepitope-specific T cells. Here we describe a standardized protocol for the induction of neoepitope-reactive T cells from healthy donor T cell repertoires, unaffected by the potentially immunosuppressive environment of the tumor-bearing host. Monocyte-derived dendritic cells (DCs) transfected with mRNA encoding candidate neoepitopes are used to prime autologous naive CD8+ T cells. Antigen-specific T cells that recognize endogenously processed and presented epitopes are detected using peptide-MHC (pMHC) multimers. Single multimer-positive T cells are sorted for the identification of TCR sequences, after an optional step that includes clonal expansion and functional characterization. The time required to identify neoepitope-specific T cells is 15 d, with an additional 2-4 weeks required for clonal expansion and downstream functional characterization. Identified neoepitopes and corresponding TCRs provide candidates for use in vaccination and TCR-based cancer immunotherapies, and datasets generated by this technology should be useful for improving algorithms to predict immunogenic neoantigens.Entities:
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Year: 2019 PMID: 31101906 DOI: 10.1038/s41596-019-0170-6
Source DB: PubMed Journal: Nat Protoc ISSN: 1750-2799 Impact factor: 13.491