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单细胞中mA的异构体表征确定了其在RNA监测中的作用。

Isoform characterization of mA in single cells identifies its role in RNA surveillance.

作者信息

Ren Zhijun, He Jialiang, Huang Xiang, Gao Yan, Wei Chuanchuan, Wu Zehong, Guo Wenbing, Wang Feng, Zhao Qingquan, Sun Xiang, Zhang Jie, Cao Nan, Lin Lan, Wang Jinkai, Cun Yixian

机构信息

Department of Histoembryology and Cell Biology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.

Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.

出版信息

Nat Commun. 2025 Jul 1;16(1):5828. doi: 10.1038/s41467-025-60869-0.

Abstract

The distribution of mA across various RNA isoforms and its heterogeneity within single cells are still not well understood. Here, we develop mA-isoSC-seq, which employs both Oxford Nanopore long-read and Illumina short-read sequencing on the same 10x Genomics single-cell cDNA library with APOBEC1-YTH induced C-to-U mutations near mA sites. Through mA-isoSC-seq on a pooled sample of three cell line origins, we unveil a profound degree of mA heterogeneity at both the isoform and single-cell levels. Through comparisons across single cells, we identify widespread specific mA methylation on certain RNA isoforms, usually those misprocessed RNA isoforms. Compared to the coding isoforms of the same genes, the expression of highly methylated misprocessed RNA isoforms is more sensitive to METTL3 depletion. These misprocessed RNAs tend to have excessive mA sites in coding regions, which are targets of CDS-mA decay (CMD). This study offers undocumented insights into the role of mA in RNA surveillance.

摘要

目前,人们对不同RNA异构体间的mA分布及其在单细胞内的异质性仍了解不足。在此,我们开发了mA-isoSC-seq技术,该技术在同一10x基因组学单细胞cDNA文库上同时采用牛津纳米孔长读长测序和Illumina短读长测序,并利用APOBEC1-YTH在mA位点附近诱导C到U的突变。通过对来自三种细胞系来源的混合样本进行mA-isoSC-seq,我们揭示了在异构体和单细胞水平上都存在的高度mA异质性。通过对单细胞的比较,我们确定了某些RNA异构体上广泛存在的特异性mA甲基化,这些异构体通常是加工错误的RNA异构体。与同一基因的编码异构体相比,高度甲基化的加工错误的RNA异构体的表达对METTL3缺失更为敏感。这些加工错误的RNA在编码区往往有过多的mA位点,它们是CDS-mA衰变(CMD)的靶点。本研究为mA在RNA监测中的作用提供了前所未有的见解。

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