新工具可定量分析RNA碱基编辑器活性



本期文章:《自然—方法学》:Online/在线发表

以色列特拉维夫大学Eli Eisenberg团队在研究中取得进展。他们开发出对RNA腺苷脱氨酶(ADAR)的腺苷到肌苷RNA编辑活性的全基因组定量分析方法。该研究于10月21日在线发表于《自然—方法学》。

研究人员介绍,利用ADAR实现腺苷到肌苷(Ato-I)RNA编辑是一种常见的RNA修饰,可防止内源性双链RNA对先天免疫系统的错误激活。由于对ADAR在癌症和自身免疫性疾病中的作用越来越引起人们兴趣,以及试图利用ADAR酶进行RNA工程的研究,人们寻求了定量ADAR活性的方法。

研究人员报道了Alu编辑索引(AEI),这是为此目的而设计的一种有力的且易于使用的计算工具。研究人员描述了它的特性,并证明了其相对于当前ADAR活性定量方法的优越性。AEI可用于在整个健康人类样本的大型数据集上绘制全局编辑图谱,并确定ADAR可能的调控因子,以及影响Alu编辑水平的未知因素。科学家在以后的ADAR活性比较研究中应考虑这些因素。

AEI工具可从https://github.com/a2iEditing/RNAEditingIndexer获得。

附:英文原文

Title: Genome-wide quantification of ADAR adenosine-to-inosine RNA editing activity

Author: Shalom Hillel Roth, Erez Y. Levanon & Eli Eisenberg

Issue&Volume: 2019-10-21

Abstract: 

Adenosine-to-inosine (A-to-I) RNA editing by the adenosine deaminase that acts on RNA (ADAR) enzymes is a common RNA modification, preventing false activation of the innate immune system by endogenous double-stranded RNAs. Methods for quantification of ADAR activity are sought after, due to an increasing interest in the role of ADARs in cancer and autoimmune disorders, as well as attempts to harness the ADAR enzymes for RNA engineering. Here, we present the Alu editing index (AEI), a robust and simple-to-use computational tool devised for this purpose. We describe its properties and demonstrate its superiority to current quantification methods of ADAR activity. The AEI is used to map global editing across a large dataset of healthy human samples and identify putative regulators of ADAR, as well as previously unknown factors affecting the observed Alu editing levels. These should be taken into account in future comparative studies of ADAR activity. The AEI tool is available at https://github.com/a2iEditing/RNAEditingIndexer.

DOI: 10.1038/s41592-019-0610-9

Source: https://www.nature.com/articles/s41592-019-0610-9

期刊信息

Nature Methods:《自然—方法学》,创刊于2004年。隶属于施普林格·自然出版集团,最新IF:28.467
官方网址:https://www.nature.com/nmeth/
投稿链接:https://mts-nmeth.nature.com/cgi-bin/main.plex




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