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Landscape of transcript isoforms in single T cells infiltrating in non-small-cell lung cancer
Journal of Genetics and Genomics ( IF 6.6 ) Pub Date : 2020-07-27 , DOI: 10.1016/j.jgg.2020.06.006
Jiesheng Li 1 , Hannah Y Comeau 2 , Zemin Zhang 3 , Xianwen Ren 2
Affiliation  

Single-cell RNA sequencing (scRNA-seq) has enabled high-resolution characterization of molecular signatures of tumor-infiltrating lymphocytes. However, analyses at the transcript isoform level are rarely reported. As alternative splicing is critical to T-cell differentiation and activation, here, we proposed a computational method named IDEA (Isoform Detection, Enrichment, and functional Annotation) to comprehensively detect and annotate differentially used isoforms across cell subtypes. We applied IDEA on a scRNA-seq data set of 12,346 T cells from non-small-cell lung cancer (NSCLC). We found that most genes tend to dominantly express one isoform in single T cells, enabling typing T cells based on the isotypes, given a gene. Isotype analysis suggested that tumor-infiltrating T cells significantly preferred specific isotypes for 245 genes in CD8+ T cells and 456 genes in CD4+ T cells. Functional annotation suggests that the preferred isoforms involved in coding/noncoding switches, transcription start site changes, gains/losses of domains, and subcellular translocation. Clonal analysis revealed that isoform switching occurred during T-cell activation/differentiation. Our analysis provides precise characterization of the molecular events in tumor-infiltrating T cells and sheds new light on the regulatory mechanisms of tumor-infiltrating T cells.



中文翻译:

非小细胞肺癌浸润的单个T细胞中转录本亚型的概况

单细胞RNA测序(scRNA-seq)已实现了肿瘤浸润淋巴细胞分子标记的高分辨率表征。但是,很少有关于转录亚型水平的分析的报道。由于替代剪接对于T细胞的分化和激活至关重要,因此,我们提出了一种称为IDEA(异构体检测,富集和功能注释)的计算方法,以全面检测和注释跨细胞亚型的差异使用的异构体。我们将IDEA应用于来自非小细胞肺癌(NSCLC)的12,346个T细胞的scRNA-seq数据集。我们发现,大多数基因倾向于在单个T细胞中主要表达一种同种型,从而在给定基因的情况下,根据同种型分型T细胞。同种型分析表明,肿瘤浸润性T细胞明显偏爱CD8中245个基因的特定同种型+ T细胞和CD4 + T细胞中的456个基因。功能注释表明,参与编码/非编码开关,转录起始位点变化,结构域的获得/缺失和亚细胞易位的优选同工型。克隆分析显示,同种型转换发生在T细胞活化/分化过程中。我们的分析提供了肿瘤浸润T细胞中分子事件的精确表征,为肿瘤浸润T细胞的调控机制提供了新的思路。

更新日期:2020-07-27
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