five

Single-Cell Profiling Defines Transcriptomic Signatures Specific to Tumor-Reactive versus Virus-Responsive CD4+ T Cells

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE124691
下载链接
链接失效反馈
官方服务:
资源简介:
We used single-cell mRNA sequencing to analyze the response of tumor-specific CD4+ tumor infiltrating lymphocytes (TILs) and draining lymph node (dLN) T cells. Computational approaches to characterize subpopulations identified TIL transcriptomic patterns strikingly distinct from acute and chronic anti-viral responses and dominated by diversity among T-bet-expressing T helper type 1 (Th1)-like cells. In contrast, the dLN response includes T follicular helper (Tfh) cells but lacks Th1 cells. We identify a type I interferon-driven signature in Th1-like TILs and show that it is found in human cancers, in which it is negatively associated with response to checkpoint therapy. Single-cell RNA sequencing of CD4+ T cells specific for a defined recombinant tumor antigen, sorted from the tumor microenvironment and draining lymph nodes.

本研究采用单细胞mRNA测序(single-cell mRNA sequencing)技术,对肿瘤特异性CD4+肿瘤浸润淋巴细胞(tumor-specific CD4+ tumor infiltrating lymphocytes, TILs)与引流淋巴结(draining lymph node, dLN)T细胞的免疫应答特征展开分析。通过计算方法表征细胞亚群,结果显示TILs的转录组特征与急性、慢性抗病毒免疫应答存在显著差异,且以表达T-bet的1型辅助T细胞(T helper type 1, Th1)样细胞的多样性为核心特征。与之相反,dLN的免疫应答中包含滤泡辅助T细胞(T follicular helper, Tfh),却未检测到Th1细胞群。本研究在Th1样TILs中鉴定出I型干扰素驱动的特征基因谱,并证实该特征谱在人类癌症组织中广泛存在,且与免疫检查点治疗的应答呈负相关。本数据集的测序对象为从肿瘤微环境及引流淋巴结中分选得到的、针对特定重组肿瘤抗原的CD4+ T细胞。
创建时间:
2020-03-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作