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全面绘制单细胞分辨率下可变多聚腺苷酸化位点的使用及其动态变化。

Comprehensive mapping of alternative polyadenylation site usage and its dynamics at single-cell resolution.

机构信息

School of Life Sciences, Zhengzhou University, Zhengzhou 450001, Henan, China.

Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.

出版信息

Proc Natl Acad Sci U S A. 2022 Dec 6;119(49):e2113504119. doi: 10.1073/pnas.2113504119. Epub 2022 Dec 1.

Abstract

Alternative polyadenylation (APA) plays an important role in posttranscriptional gene regulation such as transcript stability and translation efficiency. However, our knowledge about APA dynamics at the single-cell level is largely unexplored. Here, we developed single-cell polyadenylation sequencing, a strand-specific approach for sequencing the 3' end of transcripts, to investigate the landscape of APA at the single-cell level. By analyzing several cell lines, we found many genes using multiple polyA sites in bulk data are prone to use only one polyA site in each single cell. Interestingly, cell cycle genes were significantly enriched in genes with high variation in polyA site usages. Furthermore, the 414 genes showing a polyA site usage switch after cell synchronization enriched cell cycle genes, while the differentially expressed genes after cell synchronization did not enrich cell cycle genes. We further identified 812 genes showing polyA site usage changes between neighboring cell cycles, which were grouped into six clusters, with cell phase-specific functional categories enriched in each cluster. Deletion of one polyA site in and results in slower and faster cell cycle progression, respectively, supporting polyA site usage switch played an important role in cell cycle. These results indicate that APA is an important layer for cell cycle regulation.

摘要

可变多聚腺苷酸化 (APA) 在转录后基因调控中起着重要作用,例如转录本稳定性和翻译效率。然而,我们对单细胞水平上 APA 动力学的了解在很大程度上仍未被探索。在这里,我们开发了单细胞多聚腺苷酸化测序技术,这是一种用于测序转录本 3' 端的链特异性方法,以研究单细胞水平上 APA 的全景。通过分析几种细胞系,我们发现许多在批量数据中使用多个多聚 A 位点的基因在每个单细胞中倾向于仅使用一个多聚 A 位点。有趣的是,细胞周期基因在多聚 A 位点使用变异高的基因中显著富集。此外,在细胞同步化后显示多聚 A 位点使用开关的 414 个基因富集了细胞周期基因,而细胞同步化后的差异表达基因没有富集细胞周期基因。我们进一步鉴定了 812 个在相邻细胞周期之间显示多聚 A 位点使用变化的基因,这些基因被分为六个簇,每个簇中富集了细胞相特异性功能类别。在 和 中删除一个多聚 A 位点分别导致细胞周期进程变慢和变快,这支持多聚 A 位点使用开关在细胞周期中起着重要作用。这些结果表明 APA 是细胞周期调控的一个重要层面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb8/9894249/a798ec79dda6/pnas.2113504119fig01.jpg

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