Manfredonia Ilaria, Incarnato Danny
Department of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of Groningen, Groningen, The Netherlands.
Methods Mol Biol. 2021;2298:3-13. doi: 10.1007/978-1-0716-1374-0_1.
RNA post-transcriptional modifications (PTMs) are progressively gaining relevance in the study of coding-independent functions of RNA. RNA PTMs act as dynamic regulators of several aspects of the RNA physiology, from translation to half-life. Rising interest is supported by the advance of high-throughput techniques enabling the detection of these modifications on a transcriptome-wide scale. To this end, here we illustrate the usefulness of RNA Framework, a comprehensive toolkit for the analysis of RNA PTM mapping experiments, by reanalyzing two published transcriptome-scale datasets of N1-methyladenosine (mA) and pseudouridine (Ψ) mapping, based on two different experimental strategies.
RNA转录后修饰（PTMs）在RNA编码非依赖性功能的研究中越来越受到关注。RNA PTMs作为RNA生理学多个方面的动态调节因子，从翻译到半衰期。高通量技术的进步使得能够在全转录组范围内检测这些修饰，这进一步激发了人们的兴趣。为此，我们通过重新分析两个基于不同实验策略发表的N1-甲基腺苷（mA）和假尿苷（Ψ）图谱的转录组规模数据集，来说明RNA Framework（一个用于分析RNA PTM图谱实验的综合工具包）的实用性。
