Evidence map›Paper›PMID 31425522›Full record

ArticlePLoS computational biology2019

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

Fabio Cp Navarro, Jacob Hoops, Lauren Bellfy, Eliza Cerveira, Qihui Zhu, Chengsheng Zhang, Charles Lee, Mark B Gerstein

Open access · goldAbstract readValidation Study
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
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  7. Review
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  9. Article
  10. Quantification of LINE-1 RNA Expression from Bulk RNA-seq Using L1EM.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. LINE-1 expression in cancer correlates with p53 mutation, copy number alteration, and S phase checkpoint.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Fabio Cp NavarroProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-5640-9070
Jacob HoopsProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0001-5857-9631
Lauren BellfyThe Jackson Laboratory for Genomic Medicine, Farmington, Michigan, United States of America.ORCID 0000-0001-9846-7319
Eliza CerveiraThe Jackson Laboratory for Genomic Medicine, Farmington, Michigan, United States of America.
Qihui ZhuThe Jackson Laboratory for Genomic Medicine, Farmington, Michigan, United States of America.
Chengsheng ZhangThe Jackson Laboratory for Genomic Medicine, Farmington, Michigan, United States of America.
Charles LeeThe Jackson Laboratory for Genomic Medicine, Farmington, Michigan, United States of America.ORCID 0000-0001-7317-6662
Mark B GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-9746-3719
Michigan United · USYale University · USEwha Womans University · KR

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
An Integrative Analysis of Structural Variation for the 1000 Genomes ProjectU41HG007497 · NHGRI · JACKSON LABORATORY · PI LEE, CHARLES · 2013 to 2017
$13.0M
EDAC: ENCODE Data Analysis CenterU24HG009446 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GERSTEIN, MARK BENDER, WENG, ZHIPING · 2017 to 2022
$10.4M
NCI NIH HHS P30 CA034196NHGRI NIH HHS U24 HG009446NHGRI NIH HHS U41 HG007497
6 · The paper itself

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.

Indexed as

Models, GeneticTranscription, GeneticAnimalsCell LineComputational BiologyDNA Transposable ElementsGenetic TechniquesGenome, HumanHumansLong Interspersed Nucleotide ElementsSequence Analysis, RNADNA Transposable Elements

Identifiers

PMID31425522
PMCPMC6715295
OpenAlexW2969653545

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.