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In-Depth Transcriptome Analysis Reveals Novel TARs and Prevalent Antisense Transcription in Human Cell Lines

机译:深度转录组分析揭示了人类细胞系中的新型TAR和普遍的反义转录

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摘要

Several recent studies have indicated that transcription is pervasive in regions outside of protein coding genes and that short antisense transcripts can originate from the promoter and terminator regions of genes. Here we investigate transcription of fragments longer than 200 nucleotides, focusing on antisense transcription for known protein coding genes and intergenic transcription. We find that roughly 12% to 16% of all reads that originate from promoter and terminator regions, respectively, map antisense to the gene in question. Furthermore, we detect a high number of novel transcriptionally active regions (TARs) that are generally expressed at a lower level than protein coding genes. We find that the correlation between RNA-seq data and microarray data is dependent on the gene length, with longer genes showing a better correlation. We detect high antisense transcriptional activity from promoter, terminator and intron regions of protein-coding genes and identify a vast number of previously unidentified TARs, including putative novel EGFR transcripts. This shows that in-depth analysis of the transcriptome using RNA-seq is a valuable tool for understanding complex transcriptional events. Furthermore, the development of new algorithms for estimation of gene expression from RNA-seq data is necessary to minimize length bias.
机译:最近的一些研究表明,转录在蛋白质编码基因之外的区域普遍存在,而短的反义转录物可以起源于基因的启动子和终止子区域。在这里,我们研究了长度超过200个核苷酸的片段的转录,重点是已知蛋白质编码基因的反义转录和基因间转录。我们发现,分别来自启动子和终止子区域的所有读物中大约有12%至16%将反义序列映射到所讨论的基因。此外,我们检测到大量新的转录活性区域(TAR),它们通常以低于蛋白质编码基因的水平表达。我们发现RNA-seq数据和微阵列数据之间的相关性取决于基因长度,较长的基因显示出更好的相关性。我们从蛋白编码基因的启动子,终止子和内含子区域检测到高反义转录活性,并鉴定了大量先前未鉴定的TAR,包括推定的新型EGFR转录本。这表明使用RNA-seq深入分析转录组是了解复杂转录事件的宝贵工具。此外,必须开发新的算法以从RNA-seq数据估算基因表达,以最大程度地减少长度偏差。

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