TY - JOUR
T1 - Identification of Epitope-Specific T Cells in T-Cell Receptor Repertoires
AU - Gielis, Sofie
AU - Moris, Pieter
AU - Bittremieux, Wout
AU - De Neuter, Nicolas
AU - Ogunjimi, Benson
AU - Laukens, Kris
AU - Meysman, Pieter
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
KW - Epitopes, T-Lymphocyte/immunology
KW - Humans
KW - Machine Learning
KW - Models, Immunological
KW - Receptors, Antigen, T-Cell/immunology
KW - Software
KW - T-Cell Antigen Receptor Specificity
KW - T-Lymphocytes/immunology
UR - http://www.scopus.com/inward/record.url?scp=85081032080&partnerID=8YFLogxK
U2 - 10.1007/978-1-0716-0327-7_13
DO - 10.1007/978-1-0716-0327-7_13
M3 - Article
C2 - 32124320
VL - 2120
SP - 183
EP - 195
JO - Methods in molecular biology (Clifton, N.J.)
JF - Methods in molecular biology (Clifton, N.J.)
SN - 1064-3745
M1 - 32124320
ER -