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RNA editing of protein sequences: A rare event in human transcriptomes

机译:蛋白质序列的RNA编辑:人类转录组中的罕见事件

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RNA editing, the post-transcriptional recoding of RNA molecules, has broad potential implications for gene expression. Several recent studies of human transcriptomes reported a high number of differences between DNA and RNA, including events not explained by any known mammalian RNA-editing mechanism. However, RNA-editing estimates differ by orders of magnitude, since technical limitations of high-throughput sequencing have been sometimes overlooked and sequencing errors have been confounded with editing sites. Here, we developed a series of computational approaches to analyze the extent of this process in the human transcriptome, identifying and addressing the major sources of error of a large-scale approach. We apply the detection pipeline to deep sequencing data from lymphoblastoid cell lines expressing ADAR1 at high levels, and show that noncanonical editing is unlikely to occur, with at least 85%-98% of candidate sites being the result of sequencing and mapping artifacts. By implementing a method to detect intronless gene duplications, we show that most noncanonical sites previously validated originate in read mismapping within these regions. Canonical A-to-G editing, on the other hand, is widespread in noncoding Alu sequences and rare in exonic and coding regions, where the validation rate also dropped. The genomic distribution of editing sites we find, together with the lack of consistency across studies or biological replicates, suggest a minor quantitative impact of this process in the overall recoding of protein sequences. We propose instead a primary role of ADAR1 protein as a defense system against elements potentially damaging to the genome. Published by Cold Spring Harbor Laboratory Press.
机译:RNA编辑是RNA分子的转录后编码,对基因表达具有广泛的潜在影响。关于人类转录组的最新研究表明,DNA和RNA之间存在大量差异,包括任何已知的哺乳动物RNA编辑机制都无法解释的事件。但是,RNA编辑的估计值相差一个数量级,因为高通量测序的技术局限性有时被忽略,测序错误与编辑位点相混淆。在这里,我们开发了一系列计算方法来分析人类转录组中该过程的程度,从而识别并解决大规模方法的主要错误来源。我们将检测管线应用于高水平表达ADAR1的淋巴母细胞系的深度测序数据,并显示非规范编辑不太可能发生,至少有85%-98%的候选位点是测序和作图伪像的结果。通过实施一种检测无内含子基因重复的方法,我们显示了先前验证的大多数非规范位点都起源于这些区域内的读错图。另一方面,规范的A到G编辑在非编码Alu序列中很普遍,而在外显子和编码区域则很少,在这些区域,验证率也下降了。我们发现编辑位点的基因组分布,以及研究或生物学复制品之间缺乏一致性,表明该过程在蛋白质序列的整体编码中具有较小的定量影响。相反,我们提出ADAR1蛋白作为防御系统的主要作用,以防御可能损坏基因组的元素。由冷泉港实验室出版社出版。

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