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

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 in...

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Autores principales: Benotmane, Jasim Kada, Kueckelhaus, Jan, Will, Paulina, Zhang, Junyi, Ravi, Vidhya M., Joseph, Kevin, Sankowski, Roman, Beck, Jürgen, Lee-Chang, Catalina, Schnell, Oliver, Heiland, Dieter Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654577/
https://www.ncbi.nlm.nih.gov/pubmed/37973846
http://dx.doi.org/10.1038/s41467-023-43201-6
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author Benotmane, Jasim Kada
Kueckelhaus, Jan
Will, Paulina
Zhang, Junyi
Ravi, Vidhya M.
Joseph, Kevin
Sankowski, Roman
Beck, Jürgen
Lee-Chang, Catalina
Schnell, Oliver
Heiland, Dieter Henrik
author_facet Benotmane, Jasim Kada
Kueckelhaus, Jan
Will, Paulina
Zhang, Junyi
Ravi, Vidhya M.
Joseph, Kevin
Sankowski, Roman
Beck, Jürgen
Lee-Chang, Catalina
Schnell, Oliver
Heiland, Dieter Henrik
author_sort Benotmane, Jasim Kada
collection PubMed
description 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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spelling pubmed-106545772023-11-16 High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq Benotmane, Jasim Kada Kueckelhaus, Jan Will, Paulina Zhang, Junyi Ravi, Vidhya M. Joseph, Kevin Sankowski, Roman Beck, Jürgen Lee-Chang, Catalina Schnell, Oliver Heiland, Dieter Henrik Nat Commun Article 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. Nature Publishing Group UK 2023-11-16 /pmc/articles/PMC10654577/ /pubmed/37973846 http://dx.doi.org/10.1038/s41467-023-43201-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Benotmane, Jasim Kada
Kueckelhaus, Jan
Will, Paulina
Zhang, Junyi
Ravi, Vidhya M.
Joseph, Kevin
Sankowski, Roman
Beck, Jürgen
Lee-Chang, Catalina
Schnell, Oliver
Heiland, Dieter Henrik
High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq
title High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq
title_full High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq
title_fullStr High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq
title_full_unstemmed High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq
title_short High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq
title_sort high-sensitive spatially resolved t cell receptor sequencing with sptcr-seq
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654577/
https://www.ncbi.nlm.nih.gov/pubmed/37973846
http://dx.doi.org/10.1038/s41467-023-43201-6
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