In Methods in molecular biology (Clifton, N.J.)
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.
Gielis Sofie, Moris Pieter, Bittremieux Wout, De Neuter Nicolas, Ogunjimi Benson, Laukens Kris, Meysman Pieter
Epitope-specific T cells, Immunoinformatics, Machine learning, TCR repertoire analysis, TCR repertoire sequencing