Tailoring epitope specificity through TCR chain substitution 3324

Abstract Description The T cell’s ability to recognize antigens relies on the diversity of the T cell receptor (TCR) arising from V(D)J recombination of the two TCR chains, complemented by their random pairing. While it is generally recognized that both TCR chains are crucial for epitope recognition, their relative contribution remains unclear. To estimate the extent to which a single TCR chain determines epitope specificity, we introduced an exogenous TCR chain with known specificity into PBMC samples. This enabled it to pair with diverse endogenous TCR chains, determining the frequency and features of paired repertoires for MAIT, NKT, and conventional HLA class I and II epitopes. For each tested chain, we identified hundreds to thousands of novel, specific receptors showing antigen selection biases. Comparisons with existing data demonstrated that these engineered paired TCRs accurately replicate the natural repertoire. We found suitable partner chain frequencies varied greatly depending on the specific chain tested. The resulting data, including over 70,000 unique epitope-specific paired chain TCRs, broadens our understanding of each chain’s role in epitope recognition and quantifies a previously underestimated amount of single chain sharing across epitope specificities. Utilizing such comprehensive epitope-specific positive and negative data to train TCR-epitope prediction algorithms can enhance the accuracy of TCR specificity predictions. Funding Sources The work was funded by AI136514 and AI150747. Topic Categories Immune Response Regulation: Molecular Mechanisms (IRM)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1140
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
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article

Tailoring epitope specificity through TCR chain substitution 3324

Paul Glyndwr Thomas, Aleksandra M. Walczak, Anastasia A. Minervina, Koshlan Mayer-Blackwell et al.
The Journal of Immunology
vaccines and immunoinformatics approaches
article

Tailoring epitope specificity through TCR chain substitution 3324

Paul Glyndwr Thomas, Aleksandra M. Walczak, Anastasia A. Minervina, Koshlan Mayer-Blackwell, Thierry Mora, Ricky Tirtakusuma, Philip Bradley, Mikhail V. Pogorelyy
article en

Abstract

Abstract Description The T cell’s ability to recognize antigens relies on the diversity of the T cell receptor (TCR) arising from V(D)J recombination of the two TCR chains, complemented by their random pairing. While it is generally recognized that both TCR chains are crucial for epitope recognition, their relative contribution remains unclear. To estimate the extent to which a single TCR chain determines epitope specificity, we introduced an exogenous TCR chain with known specificity into PBMC samples. This enabled it to pair with diverse endogenous TCR chains, determining the frequency and features of paired repertoires for MAIT, NKT, and conventional HLA class I and II epitopes. For each tested chain, we identified hundreds to thousands of novel, specific receptors showing antigen selection biases. Comparisons with existing data demonstrated that these engineered paired TCRs accurately replicate the natural repertoire. We found suitable partner chain frequencies varied greatly depending on the specific chain tested. The resulting data, including over 70,000 unique epitope-specific paired chain TCRs, broadens our understanding of each chain’s role in epitope recognition and quantifies a previously underestimated amount of single chain sharing across epitope specificities. Utilizing such comprehensive epitope-specific positive and negative data to train TCR-epitope prediction algorithms can enhance the accuracy of TCR specificity predictions. Funding Sources The work was funded by AI136514 and AI150747. Topic Categories Immune Response Regulation: Molecular Mechanisms (IRM)

The Journal of ImmunologyVol. 214(Supplement_1)
St. Jude Children's Research Hospital (US), University of Washington (US), Fred Hutch Cancer Center (US), École Normale Supérieure (BI)
Openalex Percentile: Top 68%
vaccines and immunoinformatics approaches
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