Peptide-driven identification of TCRs reveals dynamics and phenotypes of CD4 T cells in tuberculosis

Assigning antigen specificity to T cell receptor (TCR) sequences is challenging due to the TCR repertoire's diversity and the complexity of TCR-antigen recognition. We developed the peptide-driven identification of TCRs (PDI-TCR) assay that combines in vitro expansion of cells with peptide pools, bulk TCR sequencing, and statistical analysis to identify antigen-specific TCRs from human blood. A key feature of PDI-TCR is the ability to distinguish true antigen-specific TCR clonotypes from TCRs associated with unspecific bystander activation by comparing responses to nonoverlapping peptide pools. We applied PDI-TCR to tuberculosis (TB) patients, sampling blood at diagnosis and throughout treatment, and Mycobacterium tuberculosis (Mtb)-sensitized healthy individuals (IGRA+). We identified hundreds of Mtb-specific TCRs, as well as unspecific TCRs, and characterized their phenotype in each cohort by single-cell RNA sequencing ex vivo. Mtb-specific T cells were highly diverse, with short-lived effector phenotypes only present in TB at diagnosis, while memory phenotypes were maintained through treatment. In contrast, unspecific expanded T cells were more clonally restricted, had a cytotoxic phenotype, and were maintained throughout treatment. While the PDI-TCR parameters used in this study are specific to Mtb, the underlying approach is broadly applicable to the study of antigen-specific T cells and can be adapted as needed for other antigen systems. Thus, PDI-TCR is a powerful tool for identifying antigen-specific TCRs and enables direct ex vivo identification and monitoring of antigen-specific T cells.

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-16
DOI
https://doi.org/10.1093/jimmun/vkaf287
Primary Topic
T-cell and B-cell Immunology
Type
article
Field-Weighted Citation Impact
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article

Peptide-driven identification of TCRs reveals dynamics and phenotypes of CD4 T cells in tuberculosis

Kendall Kearns, Alessandro Sette, Judy Perera, Kai Fung et al.
The Journal of Immunology
T-cell and B-cell Immunology
article

Peptide-driven identification of TCRs reveals dynamics and phenotypes of CD4 T cells in tuberculosis

Kendall Kearns, Alessandro Sette, Judy Perera, Kai Fung, Raphael Trevizani, Bjoern Peters, Aruna Dharshan De Silva, Rashmi Tippalagama, Julie G. Burel, Leila Y. Chihab, Ashu Chawla, Thomas J. Scriba, Jason Greenbaum, Cecilia S. Lindestam Arlehamn, Hansani Gunasekara, Darsha D. Senevirathne, Wathsala Gunasinghe
article en

Abstract

Assigning antigen specificity to T cell receptor (TCR) sequences is challenging due to the TCR repertoire's diversity and the complexity of TCR-antigen recognition. We developed the peptide-driven identification of TCRs (PDI-TCR) assay that combines in vitro expansion of cells with peptide pools, bulk TCR sequencing, and statistical analysis to identify antigen-specific TCRs from human blood. A key feature of PDI-TCR is the ability to distinguish true antigen-specific TCR clonotypes from TCRs associated with unspecific bystander activation by comparing responses to nonoverlapping peptide pools. We applied PDI-TCR to tuberculosis (TB) patients, sampling blood at diagnosis and throughout treatment, and Mycobacterium tuberculosis (Mtb)-sensitized healthy individuals (IGRA+). We identified hundreds of Mtb-specific TCRs, as well as unspecific TCRs, and characterized their phenotype in each cohort by single-cell RNA sequencing ex vivo. Mtb-specific T cells were highly diverse, with short-lived effector phenotypes only present in TB at diagnosis, while memory phenotypes were maintained through treatment. In contrast, unspecific expanded T cells were more clonally restricted, had a cytotoxic phenotype, and were maintained throughout treatment. While the PDI-TCR parameters used in this study are specific to Mtb, the underlying approach is broadly applicable to the study of antigen-specific T cells and can be adapted as needed for other antigen systems. Thus, PDI-TCR is a powerful tool for identifying antigen-specific TCRs and enables direct ex vivo identification and monitoring of antigen-specific T cells.

The Journal of ImmunologyVol. 215(2)
Statens Serum Institut (DK), La Jolla Institute for Immunology (US), University of Cape Town (ZA), General Sir John Kotelawala Defence University (LK), University of California San Diego (US), National Hospital of Sri Lanka (LK), Faculdades Oswaldo Cruz (BR), South African Tuberculosis Vaccine Initiative (ZA), Fundação Oswaldo Cruz (BR)
Openalex Percentile: Top 63%
T-cell and B-cell Immunology
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