Whole-genome expression analysis of mammalian-wide interspersed repeat elements in human cell lines

D. Carnevali, Anastasia Conti, M. Pellegrini, G. Dieci
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引用次数: 16

Abstract

Abstract With more than 500,000 copies, mammalian-wide interspersed repeats (MIRs), a sub-group of SINEs, represent ∼2.5% of the human genome and one of the most numerous family of potential targets for the RNA polymerase (Pol) III transcription machinery. Since MIR elements ceased to amplify ∼130 myr ago, previous studies primarily focused on their genomic impact, while the issue of their expression has not been extensively addressed. We applied a dedicated bioinformatic pipeline to ENCODE RNA-Seq datasets of seven human cell lines and, for the first time, we were able to define the Pol III-driven MIR transcriptome at single-locus resolution. While the majority of Pol III-transcribed MIR elements are cell-specific, we discovered a small set of ubiquitously transcribed MIRs mapping within Pol II-transcribed genes in antisense orientation that could influence the expression of the overlapping gene. We also identified novel Pol III-transcribed ncRNAs, deriving from transcription of annotated MIR fragments flanked by unique MIR-unrelated sequences, and confirmed the role of Pol III-specific internal promoter elements in MIR transcription. Besides demonstrating widespread transcription at these retrotranspositionally inactive elements in human cells, the ability to profile MIR expression at single-locus resolution will facilitate their study in different cell types and states including pathological alterations.
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人细胞系中散布重复元件的全基因组表达分析
哺乳动物全基因组穿插重复序列(MIRs)是sies的一个亚群,其拷贝数超过50万份,占人类基因组的约2.5%,是RNA聚合酶(Pol) III转录机制中数量最多的潜在靶标家族之一。由于MIR元件在约130 myr之前停止扩增,先前的研究主要集中在它们的基因组影响上,而它们的表达问题尚未得到广泛解决。我们将专用的生物信息学管道应用于七种人类细胞系的ENCODE RNA-Seq数据集,并首次能够以单位点分辨率定义Pol iii驱动的MIR转录组。虽然大多数Pol iii转录的MIR元件是细胞特异性的,但我们发现了一小部分在Pol ii转录基因中以反义取向定位的无处不在的转录MIR,这可能影响重叠基因的表达。我们还鉴定了新的Pol iii转录ncrna,这些ncrna来自于带有独特MIR无关序列的注释MIR片段的转录,并证实了Pol iii特异性内部启动子元件在MIR转录中的作用。除了证明这些逆转录失活元件在人类细胞中的广泛转录外,在单位点分辨率上分析MIR表达的能力将有助于它们在不同细胞类型和状态(包括病理改变)中的研究。
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