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dc.contributor.authorCharles Lee*
dc.date.accessioned2019-10-02T02:00:07Z-
dc.date.available2019-10-02T02:00:07Z-
dc.date.issued2019*
dc.identifier.issn1553-7358*
dc.identifier.otherOAK-25393*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/251527-
dc.description.abstractThe 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.*
dc.languageEnglish*
dc.publisherPUBLIC LIBRARY SCIENCE*
dc.titleTeXP: Deconvolving the effects of pervasive and autonomous transcription of transposable elements*
dc.typeArticle*
dc.relation.issue8*
dc.relation.volume15*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.journaltitlePLOS COMPUTATIONAL BIOLOGY*
dc.identifier.doi10.1371/journal.pcbi.1007293*
dc.identifier.wosidWOS:000489735000049*
dc.identifier.scopusid2-s2.0-85071788707*
dc.author.googleNavarro, Fabio C. P.*
dc.author.googleHoops, Jacob*
dc.author.googleBellfy, Lauren*
dc.author.googleCerveira, Eliza*
dc.author.googleZhu, Qihui*
dc.author.googleZhang, Chengsheng*
dc.author.googleLee, Charles*
dc.author.googleGerstein, Mark B.*
dc.contributor.scopusidCharles Lee(23980489900;57290864600)*
dc.date.modifydate20231123120503*


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