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TeXp:解析转座元件普遍且自主转录的影响。

TeXP: Deconvolving the effects of pervasive and autonomous transcription of transposable elements.

机构信息

Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America.

Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, United States of America.

出版信息

PLoS Comput Biol. 2019 Aug 19;15(8):e1007293. doi: 10.1371/journal.pcbi.1007293. eCollection 2019 Aug.

Abstract

The Long interspersed nuclear element 1 (LINE-1) is a primary source of genetic variation in humans and other mammals. Despite its importance, LINE-1 activity remains difficult to study because of its highly repetitive nature. Here, we developed and validated a method called TeXP to gauge LINE-1 activity accurately. TeXP builds mappability signatures from LINE-1 subfamilies to deconvolve the effect of pervasive transcription from autonomous LINE-1 activity. In particular, it apportions the multiple reads aligned to the many LINE-1 instances in the genome into these two categories. Using our method, we evaluated well-established cell lines, cell-line compartments and healthy tissues and found that the vast majority (91.7%) of transcriptome reads overlapping LINE-1 derive from pervasive transcription. We validated TeXP by independently estimating the levels of LINE-1 autonomous transcription using ddPCR, finding high concordance. Next, we applied our method to comprehensively measure LINE-1 activity across healthy somatic cells, while backing out the effect of pervasive transcription. Unexpectedly, we found that LINE-1 activity is present in many normal somatic cells. This finding contrasts with earlier studies showing that LINE-1 has limited activity in healthy somatic tissues, except for neuroprogenitor cells. Interestingly, we found that the amount of LINE-1 activity was associated with the with the amount of cell turnover, with tissues with low cell turnover rates (e.g. the adult central nervous system) showing lower LINE-1 activity. Altogether, our results show how accounting for pervasive transcription is critical to accurately quantify the activity of highly repetitive regions of the human genome.

摘要

长散布核元件 1(LINE-1)是人类和其他哺乳动物遗传变异的主要来源。尽管其重要性不言而喻,但由于其高度重复的性质,LINE-1 的活性仍然难以研究。在这里,我们开发并验证了一种称为 TeXP 的方法,可以准确地衡量 LINE-1 的活性。TeXP 从 LINE-1 亚家族构建可映射性特征,以从自主 LINE-1 活性中推断出普遍转录的影响。特别是,它将与基因组中许多 LINE-1 实例对齐的多个读取分配到这两个类别中。使用我们的方法,我们评估了成熟的细胞系、细胞系隔间和健康组织,发现重叠 LINE-1 的绝大多数(91.7%)转录本来自普遍转录。我们通过使用 ddPCR 独立估计 LINE-1 自主转录的水平来验证 TeXP,发现高度一致。接下来,我们应用我们的方法全面测量健康体细胞中的 LINE-1 活性,同时消除普遍转录的影响。出乎意料的是,我们发现 LINE-1 活性存在于许多正常体细胞中。这一发现与早期研究表明 LINE-1 在健康体细胞组织中活性有限(除神经祖细胞外)形成对比。有趣的是,我们发现 LINE-1 活性与细胞更新量有关,细胞更新率低的组织(例如成人中枢神经系统)显示出较低的 LINE-1 活性。总之,我们的研究结果表明,考虑普遍转录对于准确量化人类基因组中高度重复区域的活性至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65c6/6715295/f03ebedb3b8e/pcbi.1007293.g001.jpg

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