APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence

Elucidating the relationships between a class I peptide antigen, a CD8 T cell receptor (TCR) specific to that antigen, and the T cell phenotype that emerges following antigen stimulation, remains a mostly unsolved problem, largely due to the lack of large data sets that can be mined to resolve such relationships. Here, we describe Antigen-TCR Pairing and Multiomic Analysis of T-cells (APMAT), an integrated experimental-computational framework designed for the high-throughput capture and analysis of CD8 T cells, with paired antigen, TCR sequence, and single-cell transcriptome. Starting with 951 putative antigens representing a comprehensive survey of the SARS-CoV-2 viral proteome, we utilize APMAT for the capture and single cell analysis of CD8 T cells from 62 HLA A*02:01 COVID-19 participants. We leverage this comprehensive dataset to integrate with peptide antigen properties, TCR CDR3 sequences, and T cell phenotypes to show that distinct physicochemical features of the antigen-TCR pairs strongly associate with both T cell phenotype and T cell persistence. This analysis suggests that CD8 T cell phenotype following antigen stimulation is at least partially deterministic, rather than the result of stochastic biological properties.

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Publication Details

Journal
Nature Communications
Published
2025-02-06
DOI
https://doi.org/10.1038/s41467-025-56659-3
Citations
6
Primary Topic
T-cell and B-cell Immunology
Type
article
Field-Weighted Citation Impact
4.78

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APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence

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Nature Communications
T-cell and B-cell Immunology
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article

APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence

Julie A. Wallick, Jingyi Xie, Helen Y. Chu, Sunga Hong, Lesley Jones, Jason D. Goldman, Nicholas Franko, Philip D. Greenberg, James R. Heath, Andrew T. Magis, Sarah Li, William Chour, Pamela Troisch, Kim M. Murray, Christopher Lausted, Jennifer K. Logue, Yusuf Rasheed, Heather A. Algren, P.J. Mease, Yapeng Su, Rick Edmark, Brian Piening, Kino Watanabe, Daniel Chen, Dan Yuan, Andrew Webster, Brett Smith, Rongyu Zhang, Jongchan Choi, Raymond T. Ng, Michaela McKasson
article en
6 citations

Abstract

Elucidating the relationships between a class I peptide antigen, a CD8 T cell receptor (TCR) specific to that antigen, and the T cell phenotype that emerges following antigen stimulation, remains a mostly unsolved problem, largely due to the lack of large data sets that can be mined to resolve such relationships. Here, we describe Antigen-TCR Pairing and Multiomic Analysis of T-cells (APMAT), an integrated experimental-computational framework designed for the high-throughput capture and analysis of CD8 T cells, with paired antigen, TCR sequence, and single-cell transcriptome. Starting with 951 putative antigens representing a comprehensive survey of the SARS-CoV-2 viral proteome, we utilize APMAT for the capture and single cell analysis of CD8 T cells from 62 HLA A*02:01 COVID-19 participants. We leverage this comprehensive dataset to integrate with peptide antigen properties, TCR CDR3 sequences, and T cell phenotypes to show that distinct physicochemical features of the antigen-TCR pairs strongly associate with both T cell phenotype and T cell persistence. This analysis suggests that CD8 T cell phenotype following antigen stimulation is at least partially deterministic, rather than the result of stochastic biological properties.

Nature CommunicationsVol. 16(1)
Providence College (US), University of Washington (US), Institute for Systems Biology (US), Fred Hutch Cancer Center (US), Swedish Medical Center (US), Providence Health & Services (US)
Damon Runyon Cancer Research Foundation, Parker Institute for Cancer Immunotherapy, National Institutes of Health, Biomedical Advanced Research and Development Authority, National Cancer Institute
Zero hunger
Openalex Percentile: Top 5%
T-cell and B-cell Immunology
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