High-throughput single cell identification of virus-specific T cell receptors in common infectious diseases 4256

Abstract Description It has been estimated that an average adult has approximately 10^8-10^10 unique T cell receptor (TCR) clonotypes. This incredible repertoire diversity makes it challenging to detect virus-specific TCRs that confer protection against disease and latent infection. Epstein-Barr virus (EBV), cytomegalovirus (CMV) and human papillomavirus (HPV) infections have widespread global prevalence and may cause persistent infection in individuals with compromised immunity, who lack protective virus-specific TCRs. Most of the available TCR repertoire data generated from donor samples, which are seropositive for CMV, EBV and HPV contain only the sequences of TCRβ chains and not the paired TCRα and TCRβ data, limiting the quantitative resolution needed to accurately determine TCR–antigen specificity. Here, we demonstrate a novel high-throughput single-cell paired TCRα /β sequencing method in which we generated over 1 million unique TCR clonotypes from infected donor samples and from T cells expanded with viral-specific epitopes.In addition to detecting previously published CMV, EBV, HPV clonotypes, we identified several new TCR clonotypes that had expanded in response to the viral-specific epitope stimulation. We envision that this method will unlock the true potential for high-throughput TCR discovery and help advance the development of TCR-based immune therapy strategies to prevent and treat infectious diseases. Topic Categories Viral Immunology (VIR)

Authors

Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1958
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
0.00
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article

High-throughput single cell identification of virus-specific T cell receptors in common infectious diseases 4256

Alex Rosenberg, Gary Geiss, Charles Roco, Efthymia Papalexi et al.
The Journal of Immunology
CAR-T cell therapy research
article

High-throughput single cell identification of virus-specific T cell receptors in common infectious diseases 4256

Alex Rosenberg, Gary Geiss, Charles Roco, Efthymia Papalexi, Crina Curca, José Luiz Balthazar Jacob
article en

Abstract

Abstract Description It has been estimated that an average adult has approximately 10^8-10^10 unique T cell receptor (TCR) clonotypes. This incredible repertoire diversity makes it challenging to detect virus-specific TCRs that confer protection against disease and latent infection. Epstein-Barr virus (EBV), cytomegalovirus (CMV) and human papillomavirus (HPV) infections have widespread global prevalence and may cause persistent infection in individuals with compromised immunity, who lack protective virus-specific TCRs. Most of the available TCR repertoire data generated from donor samples, which are seropositive for CMV, EBV and HPV contain only the sequences of TCRβ chains and not the paired TCRα and TCRβ data, limiting the quantitative resolution needed to accurately determine TCR–antigen specificity. Here, we demonstrate a novel high-throughput single-cell paired TCRα /β sequencing method in which we generated over 1 million unique TCR clonotypes from infected donor samples and from T cells expanded with viral-specific epitopes.In addition to detecting previously published CMV, EBV, HPV clonotypes, we identified several new TCR clonotypes that had expanded in response to the viral-specific epitope stimulation. We envision that this method will unlock the true potential for high-throughput TCR discovery and help advance the development of TCR-based immune therapy strategies to prevent and treat infectious diseases. Topic Categories Viral Immunology (VIR)

The Journal of ImmunologyVol. 214(Supplement_1)
Openalex Percentile: Top 52%
CAR-T cell therapy research
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High-throughput single cell identification of virus-specific T cell receptors in common infectious diseases 4256 — Alex Rosenberg, Gary Geiss, et al. · The Journal of Immunology (2025) | TGRS Research Map | TGRS