Laboratoire IMoPA, UMR7365 National Centre for Scientific Research (CNRS)-Lorraine University, Biopôle, 9 Avenue de la Forêt de Haye, 54505 Vandoeuvre-les-Nancy, France.
Institute of Pharmacy and Biochemistry, Johannes Gutenberg-University Mainz, Staudingerweg 5, 55128 Mainz, Germany.
Genes (Basel). 2019 Jan 9;10(1):35. doi: 10.3390/genes10010035.
New analytics of post-transcriptional RNA modifications have paved the way for a tremendous upswing of the biological and biomedical research in this field. This especially applies to methods that included RNA-Seq techniques, and which typically result in what is termed global scale modification mapping. In this process, positions inside a cell`s transcriptome are receiving a status of potential modification sites (so called modification calling), typically based on a score of some kind that issues from the particular method applied. The resulting data are thought to represent information that goes beyond what is contained in typical transcriptome data, and hence the field has taken to use the term "epitranscriptome". Due to the high rate of newly published mapping techniques, a significant number of chemically distinct RNA modifications have become amenable to mapping, albeit with variegated accuracy and precision, depending on the nature of the technique. This review gives a brief overview of known techniques, and how they were applied to modification calling.
新的转录后 RNA 修饰分析为该领域的生物学和生物医学研究带来了巨大的发展。这尤其适用于包括 RNA-Seq 技术在内的方法，这些方法通常会产生所谓的全局修饰图谱。在这个过程中，细胞转录组内的位置被赋予潜在修饰位点的状态（所谓的修饰调用），通常基于应用的特定方法产生的某种分数。人们认为，所得数据代表的信息超出了典型转录组数据所包含的信息，因此该领域开始使用“表观转录组”一词。由于新发表的映射技术数量众多，大量化学性质不同的 RNA 修饰变得可进行映射，尽管根据技术的性质，准确性和精密度各不相同。本文简要概述了已知的技术以及它们如何应用于修饰调用。
