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Using mouse models to unlock the secrets of non-synonymous RNA editing.利用小鼠模型揭示非 synonymous RNA 编辑的奥秘。
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Genome Res. 2018 Jan;28(1):132-143. doi: 10.1101/gr.224386.117. Epub 2017 Dec 12.
3
Elucidating the editome: bioinformatics approaches for RNA editing detection.阐明编辑组学:用于 RNA 编辑检测的生物信息学方法。
Brief Bioinform. 2019 Mar 22;20(2):436-447. doi: 10.1093/bib/bbx129.
4
SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation.SeqKit:一个用于FASTA/Q文件操作的跨平台超快速工具包。
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fqtools: an efficient software suite for modern FASTQ file manipulation.fqtools:一个用于现代FASTQ文件操作的高效软件套件。
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7
The emerging role of RNA editing in plasticity.RNA编辑在可塑性中的新作用。
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8
The RNA-editing enzyme ADAR1 controls innate immune responses to RNA.RNA编辑酶ADAR1控制对RNA的先天免疫反应。
Cell Rep. 2014 Nov 20;9(4):1482-94. doi: 10.1016/j.celrep.2014.10.041. Epub 2014 Nov 13.
9
A genome-wide map of hyper-edited RNA reveals numerous new sites.一张全基因组超编辑RNA图谱揭示了众多新位点。
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Reovirus-mediated induction of ADAR1 (p150) minimally alters RNA editing patterns in discrete brain regions.呼肠孤病毒介导的ADAR1(p150)诱导对离散脑区的RNA编辑模式影响极小。
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腺苷到肌苷 RNA 编辑的定量分析。

Quantitative Analysis of Adenosine-to-Inosine RNA Editing.

机构信息

Training Program in Neuroscience, Vanderbilt University School of Medicine, Nashville, TN, USA.

Department of Molecular Physiology & Biophysics, Vanderbilt University School of Medicine, Nashville, TN, USA.

出版信息

Methods Mol Biol. 2021;2181:97-111. doi: 10.1007/978-1-0716-0787-9_7.

DOI:10.1007/978-1-0716-0787-9_7
PMID:32729077
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8208106/
Abstract

The conversion of adenosine to inosine (A to I) by RNA editing represents a common posttranscriptional mechanism for diversification of both the transcriptome and proteome, and is a part of the cellular response for innate immune tolerance. Due to its preferential base-pairing with cytosine (C), inosine (I) is recognized as guanosine (G) by reverse transcriptase, as well as the cellular splicing and translation machinery. A-to-I editing events appear as A-G discrepancies between genomic DNA and cDNA sequences. Molecular analyses of RNA editing have leveraged these nucleoside differences to quantify RNA editing in ensemble populations of RNA transcripts and within individual cDNAs using high-throughput sequencing or Sanger sequencing-derived analysis of electropherogram peak heights. Here, we briefly review and compare these methods of RNA editing quantification, as well as provide experimental protocols by which such analyses may be achieved.

摘要

通过 RNA 编辑将腺苷转化为肌苷(A 到 I)是转录组和蛋白质组多样化的常见转录后机制,也是细胞先天免疫耐受反应的一部分。由于肌苷(I)与胞嘧啶(C)的优先碱基配对,它被逆转录酶以及细胞剪接和翻译机制识别为鸟嘌呤(G)。A 到 I 编辑事件在基因组 DNA 和 cDNA 序列之间表现为 A-G 差异。RNA 编辑的分子分析利用这些核苷差异,使用高通量测序或基于电泳图谱峰高的 Sanger 测序衍生分析,在 RNA 转录物的整体群体和单个 cDNA 中定量 RNA 编辑。在这里,我们简要回顾和比较了这些 RNA 编辑定量方法,并提供了可以实现这些分析的实验方案。