Lightning TCR: high speed long read sequencing of TCR mRNA for Antigen Specific TCR Identification 4580

Abstract Description Sequencing antigen-specific T cell receptors (TCR) remains a major technologic challenge, requiring labor- and cost-intensive single-cell approaches. We have developed a rapid and economical method for sequencing TCR mRNA from antigen stimulated peripheral blood mononuclear cells using targeted long-read nanopore sequencing with Oxford Nanopore Technologies’ (ONT) Minion sequencer. Targeted PCR amplification of TCR alpha and beta cDNA was performed with a template switching oligo (TSO). Dual unique molecular identifiers (UMI) were used for single cell, oligoclonal, or bulk cell sample specific sequence identification followed by nanopore sequencing. The reads were demultiplexed by UMIs and aligned to germline V,D, and J gene sequences from the IMGT database for identification. Error corrected sequences were then used to determine the non-templated complementarity determining region 3 (CDR3) sequence for the TCRs. From bulk PBMCs, TCR Beta Chain had 796 unique TRBV-TRBJ combination and TCR Alpha Chain had 2053 unique TRAV-TRAJ combinations. Human PBMC samples were spiked with 10% Jurkat cells and sequenced using this method for 12 hours resulting in 200K reads. After read demultiplexing, filtering (Q > 25), and alignment, it was found that 8.8% of TCR beta and 7.0% TCR alpha reads matched the Jurkat TCR sequence in the 10% spiked sample. This method provides a fast and cost-effective approach to generating antigen specific TCR sequences for downstream functional studies. Funding Sources Supported by NIH/NCI 5U01CA281660 Topic Categories Technological Innovations in Immunology (TECH)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.2247
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
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article

Lightning TCR: high speed long read sequencing of TCR mRNA for Antigen Specific TCR Identification 4580

Karen S. Anderson, Oliver Kask, Olivia Roy, Lucas Bierscheid
The Journal of Immunology
CAR-T cell therapy research
article

Lightning TCR: high speed long read sequencing of TCR mRNA for Antigen Specific TCR Identification 4580

Karen S. Anderson, Oliver Kask, Olivia Roy, Lucas Bierscheid
article en

Abstract

Abstract Description Sequencing antigen-specific T cell receptors (TCR) remains a major technologic challenge, requiring labor- and cost-intensive single-cell approaches. We have developed a rapid and economical method for sequencing TCR mRNA from antigen stimulated peripheral blood mononuclear cells using targeted long-read nanopore sequencing with Oxford Nanopore Technologies’ (ONT) Minion sequencer. Targeted PCR amplification of TCR alpha and beta cDNA was performed with a template switching oligo (TSO). Dual unique molecular identifiers (UMI) were used for single cell, oligoclonal, or bulk cell sample specific sequence identification followed by nanopore sequencing. The reads were demultiplexed by UMIs and aligned to germline V,D, and J gene sequences from the IMGT database for identification. Error corrected sequences were then used to determine the non-templated complementarity determining region 3 (CDR3) sequence for the TCRs. From bulk PBMCs, TCR Beta Chain had 796 unique TRBV-TRBJ combination and TCR Alpha Chain had 2053 unique TRAV-TRAJ combinations. Human PBMC samples were spiked with 10% Jurkat cells and sequenced using this method for 12 hours resulting in 200K reads. After read demultiplexing, filtering (Q > 25), and alignment, it was found that 8.8% of TCR beta and 7.0% TCR alpha reads matched the Jurkat TCR sequence in the 10% spiked sample. This method provides a fast and cost-effective approach to generating antigen specific TCR sequences for downstream functional studies. Funding Sources Supported by NIH/NCI 5U01CA281660 Topic Categories Technological Innovations in Immunology (TECH)

The Journal of ImmunologyVol. 214(Supplement_1)
Mayo Clinic in Arizona (US), Mayo Clinic Hospital (US), Arizona State University (US)
Openalex Percentile: Top 52%
CAR-T cell therapy research
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