Abstract
Recognition of cancer epitopes by T cells is fundamental for the activation of targeted antitumor responses. As such, the identification and study of epitope-specific T cells has been instrumental in our understanding of cancer immunology and the development of personalized immunotherapies. To facilitate the study of T-cell epitope specificity, we developed a prediction tool, TCRex, that can identify epitope-specific T-cell receptors (TCRs) directly from TCR repertoire data and perform epitope-specificity enrichment analyses. This chapter details the use of the TCRex web tool.
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Acknowledgments
This work was funded by the University of Antwerp with a University Research Fund (BOF Concerted Research Action) and an Industrial Research Fund (IOF), by the Research Foundation Flanders (FWO) [Personal PhD grants to NDN (1S29816N), SG (1S48819N), and PMo (1141217 N); postdoctoral grant to WB (12W0418N); senior clinical investigator grant to BO (1861219 N); and research project grant (G067118 N)], and by the Belgian American Educational Foundation (BAEF) [postdoctoral grant to WB].
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Gielis, S. et al. (2020). Identification of Epitope-Specific T Cells in T-Cell Receptor Repertoires. In: Boegel, S. (eds) Bioinformatics for Cancer Immunotherapy. Methods in Molecular Biology, vol 2120. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0327-7_13
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DOI: https://doi.org/10.1007/978-1-0716-0327-7_13
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