Nature Communications · 2023 · 50 citations · 41 references
Life SciencesImmunologyMolecular BiologyCancer ImmunologyCellular ImmunologyTranscriptomicsAntigen Receptor DiversityAntigen RecognitionImmunogenomicsNext-generation Sequencing In OncologyT Cell BiologyT Cell ExhaustionClonal Expansion Of LymphocytesComplementarity-determining Region 3Immune Receptor SequencingT Cell Clonal ExpansionT Cell Receptor SequencingT Cell ReceptorsT-cell Receptor Repertoire DiversityT-cell Repertoire Analysis
Spatial resolution of the T cell repertoire is essential for deciphering cancer-associated immune dysfunction. Current spatially resolved transcriptomic technologies are unable to directly annotate T cell receptors (TCR). We present spatially resolved T cell receptor sequencing (SPTCR-seq), which integrates optimized target enrichment and long-read sequencing for highly sensitive TCR sequencing. The SPTCR computational pipeline achieves yield and coverage per TCR comparable to alternative single-cell TCR technologies. Our comparison of PCR-based and SPTCR-seq methods underscores SPTCR-seq's superior ability to reconstruct the entire TCR architecture, including V, D, J regions and the complementarity-determining region 3 (CDR3). Employing SPTCR-seq, we assess local T cell diversity and clonal expansion across spatially discrete niches. Exploration of the reciprocal interaction of the tumor microenvironmental and T cells discloses the critical involvement of NK and B cells in T cell exhaustion. Integrating spatially resolved omics and TCR sequencing provides as a robust tool for exploring T cell dysfunction in cancers and beyond.
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