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摘要:
The development of new biomarkers or therapeutic targets for cancer immunotherapies requires deep under-standing of T cells. To date, the complete landscape and systematic characterization of long noncoding RNAs (lncRNAs) in T cells in cancer immunity are lacking. Here, by systematically analyzing full-length single-cell RNA sequencing (scRNA-seq) data of more than 20,000 libraries of T cells across three cancer types, we provided the first comprehensive catalog and the functional repertoires of lncRNAs in human T cells. Specifically, we developed a custom pipeline for de novo transcriptome assembly and obtained a novel lncRNA catalog containing 9433 genes. This increased the number of current human lncRNA catalog by 16%and nearly doubled the number of lncRNAs expressed in T cells. We found that a portion of expressed genes in single T cells were lncRNAs which had been overlooked by the majority of previous studies. Based on metacell maps constructed by the MetaCell algorithm that partitions scRNA-seq datasets into disjointed and homogenous groups of cells (metacells), 154 signature lncRNA genes were identified. They were associated with effector, exhausted, and regulatory T cell states. Moreover, 84 of them were functionally annotated based on the co-expression networks, indicating that lncRNAs might broadly participate in the regulation of T cell functions. Our findings provide a new point of view and resource for investigating the mechanisms of T cell regulation in cancer immunity as well as for novel cancer-immune biomarker development and cancer immunotherapies.
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篇名 Single-cell Long Non-coding RNA Landscape of T Cells in Human Cancer Immunity
来源期刊 基因组蛋白质组与生物信息学报(英文版) 学科
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年,卷(期) 2021,(3) 所属期刊栏目 ORIGINAL RESEARCH
研究方向 页码范围 377-393
页数 17页 分类号
字数 语种 英文
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基因组蛋白质组与生物信息学报(英文版)
双月刊
1672-0229
11-4926/Q
大16开
北京市朝阳区北辰西路1号院104号楼 中科院北京基因组研究所学报编辑部
2003
eng
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780
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0
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3063
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