• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

高灵敏度空间分辨 T 细胞受体测序与 SPTCR-seq。

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

机构信息

Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany.

Faculty of Medicine, Freiburg University, Freiburg, Germany.

出版信息

Nat Commun. 2023 Nov 16;14(1):7432. doi: 10.1038/s41467-023-43201-6.

DOI:10.1038/s41467-023-43201-6
PMID:37973846
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10654577/
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.

摘要

T 细胞受体测序技术解析肿瘤相关免疫功能障碍

T 细胞受体(TCR)的空间分辨率对于解析癌症相关免疫功能障碍至关重要。目前的空间分辨转录组学技术无法直接注释 TCR。我们提出了空间分辨 T 细胞受体测序(SPTCR-seq),它集成了优化的靶向富集和长读测序,以实现高度敏感的 TCR 测序。SPTCR 计算管道实现了与替代单细胞 TCR 技术相当的每 TCR 的产量和覆盖度。我们对基于 PCR 的 SPTCR-seq 方法进行了比较,突显了 SPTCR-seq 重建整个 TCR 结构(包括 V、D、J 区和互补决定区 3(CDR3))的卓越能力。我们采用 SPTCR-seq 评估了局部 T 细胞多样性和克隆扩增在空间离散龛中的情况。探索肿瘤微环境和 T 细胞的相互作用揭示了 NK 和 B 细胞在 T 细胞耗竭中的关键作用。整合空间分辨组学和 TCR 测序为探索癌症及其他疾病中的 T 细胞功能障碍提供了一种强大的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/cb6291997116/41467_2023_43201_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/1a70090fe61e/41467_2023_43201_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/d5d633bc0275/41467_2023_43201_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/48652d74c969/41467_2023_43201_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/c001c54bde9a/41467_2023_43201_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/1f1236f445ea/41467_2023_43201_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/fdd3ecf70852/41467_2023_43201_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/a34ccd805e81/41467_2023_43201_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/cb6291997116/41467_2023_43201_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/1a70090fe61e/41467_2023_43201_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/d5d633bc0275/41467_2023_43201_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/48652d74c969/41467_2023_43201_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/c001c54bde9a/41467_2023_43201_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/1f1236f445ea/41467_2023_43201_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/fdd3ecf70852/41467_2023_43201_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/a34ccd805e81/41467_2023_43201_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf9/10654577/cb6291997116/41467_2023_43201_Fig8_HTML.jpg

相似文献

1
High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq.高灵敏度空间分辨 T 细胞受体测序与 SPTCR-seq。
Nat Commun. 2023 Nov 16;14(1):7432. doi: 10.1038/s41467-023-43201-6.
2
T Cell Receptor Repertoire Sequencing.T 细胞受体文库测序。
Methods Mol Biol. 2020;2204:3-12. doi: 10.1007/978-1-0716-0904-0_1.
3
Analysis of TCR Repertoire by High-Throughput Sequencing Indicates the Feature of T Cell Immune Response after SARS-CoV-2 Infection.高通量测序分析 TCR 文库表明 SARS-CoV-2 感染后 T 细胞免疫反应的特征。
Cells. 2021 Dec 27;11(1):68. doi: 10.3390/cells11010068.
4
High-throughput sequencing of CD4 T cell repertoire reveals disease-specific signatures in IgG4-related disease.CD4 T 细胞 repertoire 的高通量测序揭示了 IgG4 相关疾病中的疾病特异性特征。
Arthritis Res Ther. 2019 Dec 19;21(1):295. doi: 10.1186/s13075-019-2069-6.
5
High Throughput Sequencing of T Cell Antigen Receptors Reveals a Conserved TCR Repertoire.T细胞抗原受体的高通量测序揭示了一个保守的TCR库。
Medicine (Baltimore). 2016 Mar;95(10):e2839. doi: 10.1097/MD.0000000000002839.
6
Analysis of the Repertoire Features of TCR Beta Chain CDR3 in Human by High-Throughput Sequencing.高通量测序分析人类TCRβ链CDR3的 repertoire 特征
Cell Physiol Biochem. 2016;39(2):651-67. doi: 10.1159/000445656. Epub 2016 Jul 21.
7
Computational Analysis of T-Cell Receptor Repertoire Workflow: From T-Cell Isolation to Bioinformatics Analysis.T 细胞受体库工作流程的计算分析:从 T 细胞分离到生物信息学分析。
Methods Mol Biol. 2025;2857:127-135. doi: 10.1007/978-1-0716-4128-6_12.
8
Clinical T Cell Receptor Repertoire Deep Sequencing and Analysis: An Application to Monitor Immune Reconstitution Following Cord Blood Transplantation.临床 T 细胞受体 repertoire 深度测序和分析:在监测脐血移植后免疫重建中的应用。
Front Immunol. 2018 Nov 5;9:2547. doi: 10.3389/fimmu.2018.02547. eCollection 2018.
9
Diversity of the T cell receptor β chain complementarity-determining region 3 in peripheral blood of neonates with sepsis: an analysis based on immune repertoire sequencing.基于免疫受体测序的新生儿脓毒症外周血 T 细胞受体 β 链互补决定区 3 多样性分析。
Zhongguo Dang Dai Er Ke Za Zhi. 2021 Nov 15;23(11):1154-1160. doi: 10.7499/j.issn.1008-8830.2106044.
10
Current status and recent advances of next generation sequencing techniques in immunological repertoire.下一代测序技术在免疫受体库中的现状和最新进展。
Genes Immun. 2016 Apr;17(3):153-64. doi: 10.1038/gene.2016.9. Epub 2016 Mar 10.

引用本文的文献

1
Detection of human brain cancers using genomic and immune cell characterization of cerebrospinal fluid through CSF-BAM.通过脑脊液 - BAM对脑脊液进行基因组和免疫细胞特征分析以检测人脑癌。
Cancer Discov. 2025 Aug 25. doi: 10.1158/2159-8290.CD-24-1788.
2
In situ profiling of plasma cell clonality with image-based single-cell transcriptomics.基于图像的单细胞转录组学对浆细胞克隆性进行原位分析。
bioRxiv. 2025 May 14:2025.05.09.653118. doi: 10.1101/2025.05.09.653118.
3
Putting cancer immunotherapy into spatial context in the clinic.在临床中将癌症免疫疗法置于空间背景下。

本文引用的文献

1
Correcting PCR amplification errors in unique molecular identifiers to generate accurate numbers of sequencing molecules.校正独特分子标识符中的PCR扩增错误以生成准确的测序分子数量。
Nat Methods. 2024 Mar;21(3):401-405. doi: 10.1038/s41592-024-02168-y. Epub 2024 Feb 5.
2
High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE.利用 CytoSPACE 实现单细胞和空间转录组的高分辨率比对。
Nat Biotechnol. 2023 Nov;41(11):1543-1548. doi: 10.1038/s41587-023-01697-9. Epub 2023 Mar 6.
3
Modeling intercellular communication in tissues using spatial graphs of cells.
Nat Biotechnol. 2025 Apr;43(4):471-476. doi: 10.1038/s41587-025-02596-x.
4
iMIRACLE: an Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation from Spatial Transcriptomic Data.iMIRACLE:一种用于从空间转录组数据建模细胞间基因调控的迭代多视图图神经网络。
Proc ACM Int Conf Inf Knowl Manag. 2024 Oct;2024:538-548. doi: 10.1145/3627673.3679574. Epub 2024 Oct 21.
5
Multiplexed multimodal single-cell technologies: From observation to perturbation analysis.多重多模态单细胞技术:从观察到扰动分析
Mol Cells. 2024 Dec;47(12):100147. doi: 10.1016/j.mocell.2024.100147. Epub 2024 Nov 8.
6
Seq-Scope: repurposing Illumina sequencing flow cells for high-resolution spatial transcriptomics.Seq-Scope:将Illumina测序流动槽重新用于高分辨率空间转录组学
Nat Protoc. 2025 Mar;20(3):643-689. doi: 10.1038/s41596-024-01065-0. Epub 2024 Oct 31.
7
MAPK/ERK signaling in gliomas modulates interferon responses, T cell recruitment, microglia phenotype, and immune checkpoint blockade efficacy.胶质瘤中的MAPK/ERK信号传导调节干扰素反应、T细胞募集、小胶质细胞表型和免疫检查点阻断疗效。
bioRxiv. 2024 Sep 18:2024.09.11.612571. doi: 10.1101/2024.09.11.612571.
8
Inferring histology-associated gene expression gradients in spatial transcriptomic studies.在空间转录组学研究中推断与组织学相关的基因表达梯度。
Nat Commun. 2024 Aug 23;15(1):7280. doi: 10.1038/s41467-024-50904-x.
9
Exploring the potential of the TCR repertoire as a tumor biomarker (Review).探索T细胞受体库作为肿瘤生物标志物的潜力(综述)。
Oncol Lett. 2024 Jun 28;28(3):413. doi: 10.3892/ol.2024.14546. eCollection 2024 Sep.
10
Effects of tumor treating fields (TTFields) on human mesenchymal stromal cells.肿瘤治疗电场(TTFields)对人间质基质细胞的影响。
J Neurooncol. 2024 Sep;169(2):329-340. doi: 10.1007/s11060-024-04740-0. Epub 2024 Jun 20.
使用细胞的空间图对组织中的细胞间通讯进行建模。
Nat Biotechnol. 2023 Mar;41(3):332-336. doi: 10.1038/s41587-022-01467-z. Epub 2022 Oct 27.
4
Spatially resolved whole transcriptome profiling in human and mouse tissue using Digital Spatial Profiling.利用数字空间分析技术在人体和小鼠组织中进行空间分辨的全转录组分析。
Genome Res. 2022 Oct;32(10):1892-1905. doi: 10.1101/gr.276206.121. Epub 2022 Sep 13.
5
Single-cell Stereo-seq reveals induced progenitor cells involved in axolotl brain regeneration.单细胞立体测序揭示参与蝾螈大脑再生的诱导祖细胞。
Science. 2022 Sep 2;377(6610):eabp9444. doi: 10.1126/science.abp9444.
6
RATTLE: reference-free reconstruction and quantification of transcriptomes from Nanopore sequencing.RATTLE:基于纳米孔测序的无参转录组重构和定量分析。
Genome Biol. 2022 Jul 8;23(1):153. doi: 10.1186/s13059-022-02715-w.
7
Fast and accurate matching of cellular barcodes across short-reads and long-reads of single-cell RNA-seq experiments.在单细胞RNA测序实验的短读长和长读长数据中实现细胞条形码的快速准确匹配。
iScience. 2022 Jun 7;25(7):104530. doi: 10.1016/j.isci.2022.104530. eCollection 2022 Jul 15.
8
Localization of T cell clonotypes using the Visium spatial transcriptomics platform.使用 Visium 空间转录组学平台进行 T 细胞克隆型定位。
STAR Protoc. 2022 Jun 10;3(2):101391. doi: 10.1016/j.xpro.2022.101391. eCollection 2022 Jun 17.
9
Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma.空间分辨多组学解析胶质母细胞瘤中肿瘤-宿主的双向相互依赖关系。
Cancer Cell. 2022 Jun 13;40(6):639-655.e13. doi: 10.1016/j.ccell.2022.05.009.
10
Glioma progression is shaped by genetic evolution and microenvironment interactions.胶质瘤的进展是由遗传进化和微环境相互作用决定的。
Cell. 2022 Jun 9;185(12):2184-2199.e16. doi: 10.1016/j.cell.2022.04.038. Epub 2022 May 31.