Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China.
Institute of Ageing & Chronic Disease, University of Liverpool, Liverpool, UK.
Methods Mol Biol. 2021;2284:519-529. doi: 10.1007/978-1-0716-1307-8_28.
N-Methyladenosine (mA) is the most prevalent posttranscriptional modification in eukaryotes and plays a pivotal role in various biological processes, such as splicing, RNA degradation, and RNA-protein interaction. Accurately identification of the location of mA is essential for related downstream studies. In this chapter, we introduce a prediction framework WHISTLE, which enables us to acquire so far the most accurate map of the transcriptome-wide human mA RNA-methylation sites (with an average AUC: 0.948 and 0.880 under the full transcript or mature messenger RNA models, respectively, when tested on independent datasets). Besides, each individual mA site was also functionally annotated according to the "guilt-by-association" principle by integrating RNA methylation data, gene expression data and protein-protein interaction data. A web server was constructed for conveniently querying the predicted RNA methylation sites and their putative biological functions. The website supports the query by genes, by GO function, table view, and the download of all the functionally annotated map of predicted map of human mA epitranscriptome. The WHISTLE web server is freely available at: www.xjtlu.edu.cn/biologicalsciences/whistle and http://whistle-epitranscriptome.com .
N6-甲基腺苷(m6A)是真核生物中最普遍的转录后修饰,在剪接、RNA 降解和 RNA-蛋白质相互作用等各种生物学过程中发挥着关键作用。准确识别 m6A 的位置对于相关的下游研究至关重要。在本章中,我们介绍了一个预测框架 WHISTLE,该框架使我们能够获得迄今为止最准确的人类转录组范围 m6A RNA 甲基化位点图谱(在独立数据集上进行测试时,在全长转录本或成熟信使 RNA 模型下的平均 AUC 分别为 0.948 和 0.880)。此外,还根据“关联定罪”原则,通过整合 RNA 甲基化数据、基因表达数据和蛋白质-蛋白质相互作用数据,对每个单独的 m6A 位点进行了功能注释。构建了一个网络服务器,用于方便查询预测的 RNA 甲基化位点及其潜在的生物学功能。该网站支持通过基因、GO 功能、表格视图进行查询,以及下载所有功能注释的人类 m6A 转录后修饰图谱。WHISTLE 网络服务器可免费使用:www.xjtlu.edu.cn/biologicalsciences/whistle 和 http://whistle-epitranscriptome.com。