Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Charles Lee | * |
dc.date.accessioned | 2019-10-02T02:00:07Z | - |
dc.date.available | 2019-10-02T02:00:07Z | - |
dc.date.issued | 2019 | * |
dc.identifier.issn | 1553-7358 | * |
dc.identifier.other | OAK-25393 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/251527 | - |
dc.description.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. | * |
dc.language | English | * |
dc.publisher | PUBLIC LIBRARY SCIENCE | * |
dc.title | TeXP: Deconvolving the effects of pervasive and autonomous transcription of transposable elements | * |
dc.type | Article | * |
dc.relation.issue | 8 | * |
dc.relation.volume | 15 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | PLOS COMPUTATIONAL BIOLOGY | * |
dc.identifier.doi | 10.1371/journal.pcbi.1007293 | * |
dc.identifier.wosid | WOS:000489735000049 | * |
dc.identifier.scopusid | 2-s2.0-85071788707 | * |
dc.author.google | Navarro, Fabio C. P. | * |
dc.author.google | Hoops, Jacob | * |
dc.author.google | Bellfy, Lauren | * |
dc.author.google | Cerveira, Eliza | * |
dc.author.google | Zhu, Qihui | * |
dc.author.google | Zhang, Chengsheng | * |
dc.author.google | Lee, Charles | * |
dc.author.google | Gerstein, Mark B. | * |
dc.contributor.scopusid | Charles Lee(23980489900;57290864600) | * |
dc.date.modifydate | 20231123120503 | * |