High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq

Jasim Kada Benotmane(University of Freiburg), Jan Kueckelhaus(University of Freiburg), Paulina Will(University of Freiburg), Junyi Zhang(University of Freiburg), Vidhya M. Ravi(University of Freiburg), Kevin Joseph(University of Freiburg), Roman Sankowski(University of Freiburg), Jürgen Beck(University of Freiburg), Catalina Lee-Chang(Northwestern University), Oliver Schnell(University of Freiburg), Dieter Henrik Heiland(Northwestern University)
Nature Communications
November 16, 2023
Cited by 49Open Access
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Abstract

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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