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Global Analysis of the Human RNA Degradome Reveals Widespread Decapped and Endonucleolytic Cleaved Transcripts

机译:对人RNA降级物的全局分析揭示了广泛的斩波和内啡酰基裂解转录物

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摘要

RNA decay is an important regulatory mechanism for gene expression at the posttranscriptional level. Although the main pathways and major enzymes that facilitate this process are well defined, global analysis of RNA turnover remains under-investigated. Recent advances in the application of next-generation sequencing technology enable its use in order to examine various RNA decay patterns at the genome-wide scale. In this study, we investigated human RNA decay patterns using parallel analysis of RNA end-sequencing (PARE-seq) data from XRN1-knockdown HeLa cell lines, followed by a comparison of steady state and degraded mRNA levels from RNA-seq and PARE-seq data, respectively. The results revealed 1103 and 1347 transcripts classified as stable and unstable candidates, respectively. Of the unstable candidates, we found that a subset of the replication-dependent histone transcripts was polyadenylated and rapidly degraded. Additionally, we identified 380 endonucleolytically cleaved candidates by analyzing the most abundant PARE sequence on a transcript. Of these, 41.4% of genes were classified as unstable genes, which implied that their endonucleolytic cleavage might affect their mRNA stability. Furthermore, we identified 1877 decapped candidates, including HSP90B1 and SWI5, having the most abundant PARE sequences at the 5′-end positions of the transcripts. These results provide a useful resource for further analysis of RNA decay patterns in human cells.
机译:RNA衰减是预幕前水平的基因表达的重要调节机制。虽然促进该过程的主要途径和主要酶明确定义,但全局对RNA营业额的分析仍未进行调查。下一代测序技术应用的最新进展使其使用以在基因组范围内检查各种RNA衰减模式。在这项研究中,我们使用来自XRN1敲低Hela细胞系的RNA结束测序(PARE-SEQ)数据的并行分析研究人RNA衰减模式,然后与RNA-SEQ和PARE的降解mRNA水平进行比较。 SEQ数据分别。结果显示分别为稳定和不稳定的候选人分别为1103和1347名转录物。对于不稳定的候选者,我们发现复制依赖性组蛋白转录物的子集是多腺苷酸化的并且快速降解。另外,我们通过分析转录物上最丰富的Pare序列来确定380个内核酸裂解的候选物。其中,41.4%的基因被归类为不稳定的基因,这意味着它们的内啡核酸裂解可能影响其mRNA稳定性。此外,我们确定了1877名删除候选者,包括HSP90B1和SWI5,在转录物的5'末端位置具有最丰富的Pare序列。这些结果提供了一种有用的资源,用于进一步分析人体细胞中的RNA腐烂模式。

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