TIRTL-seq: deep, quantitative and affordable paired TCR repertoire sequencing

The specificity of T cells is determined by T cell receptor (TCR) α and β chain sequences. While bulk TCR sequencing enables cost-effective repertoire profiling without chain pairing information, single-cell approaches provide paired data but are costly and limited in throughput. Here we present throughput-intensive rapid TCR library sequencing (TIRTL-seq), an experimental and computational methodology for paired TCR repertoire sequencing (TCR-seq). TIRTL-seq is based on the parallel generation of hundreds of TCR libraries in 384-well plates at less than US$200 per plate, allowing cohort-scale paired TCR-seq studies. We benchmarked TIRTL-seq against state-of-the-art bulk TCR-seq and 10x Genomics Chromium technologies on longitudinal samples and identified severe acute respiratory syndrome coronavirus 2- and Epstein-Barr virus-specific clonal expansions after infection with distinct dynamics. TIRTL-seq offers a universal protocol scalable from a single cell to millions of T cells per sample, simultaneously delivering both precise clonal frequency estimation and accurate TCR chain pairing, combining the strengths of bulk and single-cell TCR-seq.

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Publication Details

Journal
Nature Methods
Published
2025-11-24
DOI
https://doi.org/10.1038/s41592-025-02907-9
Citations
5
Primary Topic
T-cell and B-cell Immunology
Type
article
Field-Weighted Citation Impact
3.99

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TIRTL-seq: deep, quantitative and affordable paired TCR repertoire sequencing

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T-cell and B-cell Immunology
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article

TIRTL-seq: deep, quantitative and affordable paired TCR repertoire sequencing

Paul Glyndwr Thomas, Richard J. Webby, Ashleigh Gowen, Balaji Sundararaman, E. Kaitlynn Allen, Jamie Russell-Bell, Randall T. Hayden, Resha Bajracharya, Anastasia A. Minervina, Chun-Yang Lin, Kim Allison, Allison M. Kirk, Gang Wu, Hana Hakim, Lee-Ann Van de Velde, Elaine Tuomanen, Amanda Cole, Ronald H. Dallas, Brandi L. Clark, David C. Brice, Aditya H. Gaur, Diego R. Hijano, Ashley Castellaw, Taylor L. Wilson, Kasi Vegesana, James M. Hoffman, Mikhail V. Pogorelyy, Walid H. Awad, Samir Adhikari, Maureen A. McGargill, Joshua Wolf, Li Tang, Tomi Mori, Zachary B. Scott
article en
5 citations

Abstract

The specificity of T cells is determined by T cell receptor (TCR) α and β chain sequences. While bulk TCR sequencing enables cost-effective repertoire profiling without chain pairing information, single-cell approaches provide paired data but are costly and limited in throughput. Here we present throughput-intensive rapid TCR library sequencing (TIRTL-seq), an experimental and computational methodology for paired TCR repertoire sequencing (TCR-seq). TIRTL-seq is based on the parallel generation of hundreds of TCR libraries in 384-well plates at less than US$200 per plate, allowing cohort-scale paired TCR-seq studies. We benchmarked TIRTL-seq against state-of-the-art bulk TCR-seq and 10x Genomics Chromium technologies on longitudinal samples and identified severe acute respiratory syndrome coronavirus 2- and Epstein-Barr virus-specific clonal expansions after infection with distinct dynamics. TIRTL-seq offers a universal protocol scalable from a single cell to millions of T cells per sample, simultaneously delivering both precise clonal frequency estimation and accurate TCR chain pairing, combining the strengths of bulk and single-cell TCR-seq.

Nature MethodsVol. 23(1)
St. Jude Children's Research Hospital (US)
American Association of Immunologists, American Lebanese Syrian Associated Charities
Openalex Percentile: Top 5%
T-cell and B-cell Immunology
3.99
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