{"title":"Single-molecule m6A detection empowered by endogenous labeling unveils complexities across RNA isoforms","authors":"Wenbing Guo, Zhijun Ren, Xiang Huang, Jiayin Liu, Jingwen Shao, Xiaojun Ma, Chuanchuan Wei, Yixian Cun, Jialiang He, Jie Zhang, Zehong Wu, Yang Guo, Zijun Zhang, Zhengming Feng, Jianbo He, Jinkai Wang","doi":"10.1016/j.molcel.2025.01.014","DOIUrl":null,"url":null,"abstract":"The landscape of <em>N</em><sup><em>6</em></sup>-methyadenosine (m<sup>6</sup>A) on different RNA isoforms is still incompletely understood. Here, in HEK293T cells, we endogenously label the methylated m<sup>6</sup>A sites on single Oxford Nanopore Technology (ONT) direct RNA sequencing (DRS) reads by APOBEC1-YTH-induced C-to-U mutations 10–100 nt away, obtaining 1,020,237 5-mer single-read m<sup>6</sup>A signals. We then trained m6Aiso, a deep residual neural network model that accurately identifies and quantifies m<sup>6</sup>A at single-read resolution. Analyzing m6Aiso-determined m<sup>6</sup>A on single reads and isoforms uncovers distance-dependent linkages of m<sup>6</sup>A sites along single molecules. It also uncovers specific methylation of identical m<sup>6</sup>A sites on intron-retained isoforms, partly due to their differential distances to exon junctions and isoform-specific binding of TARBP2. Moreover, we find that transcription factor SMAD3 promotes m<sup>6</sup>A deposition on its transcribed RNA isoforms during epithelial-mesenchymal transition, resulting in isoform-specific regulation of m<sup>6</sup>A on isoforms with alternative promoters. Our study underscores the effectiveness of m6Aiso in elucidating the intricate dynamics and complexities of m<sup>6</sup>A across RNA isoforms.","PeriodicalId":18950,"journal":{"name":"Molecular Cell","volume":"40 1","pages":""},"PeriodicalIF":14.5000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Cell","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.molcel.2025.01.014","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The landscape of N6-methyadenosine (m6A) on different RNA isoforms is still incompletely understood. Here, in HEK293T cells, we endogenously label the methylated m6A sites on single Oxford Nanopore Technology (ONT) direct RNA sequencing (DRS) reads by APOBEC1-YTH-induced C-to-U mutations 10–100 nt away, obtaining 1,020,237 5-mer single-read m6A signals. We then trained m6Aiso, a deep residual neural network model that accurately identifies and quantifies m6A at single-read resolution. Analyzing m6Aiso-determined m6A on single reads and isoforms uncovers distance-dependent linkages of m6A sites along single molecules. It also uncovers specific methylation of identical m6A sites on intron-retained isoforms, partly due to their differential distances to exon junctions and isoform-specific binding of TARBP2. Moreover, we find that transcription factor SMAD3 promotes m6A deposition on its transcribed RNA isoforms during epithelial-mesenchymal transition, resulting in isoform-specific regulation of m6A on isoforms with alternative promoters. Our study underscores the effectiveness of m6Aiso in elucidating the intricate dynamics and complexities of m6A across RNA isoforms.
期刊介绍:
Molecular Cell is a companion to Cell, the leading journal of biology and the highest-impact journal in the world. Launched in December 1997 and published monthly. Molecular Cell is dedicated to publishing cutting-edge research in molecular biology, focusing on fundamental cellular processes. The journal encompasses a wide range of topics, including DNA replication, recombination, and repair; Chromatin biology and genome organization; Transcription; RNA processing and decay; Non-coding RNA function; Translation; Protein folding, modification, and quality control; Signal transduction pathways; Cell cycle and checkpoints; Cell death; Autophagy; Metabolism.