Evidence map›Paper›PMID 33602314›Full record

ArticleGenome biology2021

LINE retrotransposons characterize mammalian tissue-specific and evolutionarily dynamic regulatory regions.

Maša Roller, Ericca Stamper, Diego Villar, Osagie Izuogu, Fergal Martin, Aisling M Redmond, Raghavendra Ramachanderan, Louise Harewood, Duncan T Odom, Paul Flicek

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
24.8field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 82 citations in OpenAlex.

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  13. From the genome's perspective: Bearing somatic retrotransposition to leverage the regulatory potential of L1 RNAs.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    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

10 authors at 5 institutions in 3 countries.

Maša Roller *European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Ericca Stamper *European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Diego VillarCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
Osagie IzuoguEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Fergal MartinEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Aisling M RedmondCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
Raghavendra RamachanderanEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Louise HarewoodCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
Duncan T OdomCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK. d.odom@dkfz.de.
Paul FlicekEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. flicek@ebi.ac.uk.ORCID 0000-0002-3897-7955
European Bioinformatics Institute · GBGerman Cancer Research Center · DEQueen Mary University of London · GBQueen's University Belfast · GBUniversity of Cambridge · GB

Funding

Cancer Research UK 20412European Research Council 615584Wellcome Trust 202878/Z/16/ZWellcome Trust WT108749/Z/15/ZWellcome Trust WT202878/B/16/ZWellcome Trust WT202878/Z/16/Z
6 · The paper itself

Abstract

backgroundTo investigate the mechanisms driving regulatory evolution across tissues, we experimentally mapped promoters, enhancers, and gene expression in the liver, brain, muscle, and testis from ten diverse mammals.

resultsThe regulatory landscape around genes included both tissue-shared and tissue-specific regulatory regions, where tissue-specific promoters and enhancers evolved most rapidly. Genomic regions switching between promoters and enhancers were more common across species, and less common across tissues within a single species. Long Interspersed Nuclear Elements (LINEs) played recurrent evolutionary roles: LINE L1s were associated with tissue-specific regulatory regions, whereas more ancient LINE L2s were associated with tissue-shared regulatory regions and with those switching between promoter and enhancer signatures across species.

conclusionsOur analyses of the tissue-specificity and evolutionary stability among promoters and enhancers reveal how specific LINE families have helped shape the dynamic mammalian regulome.

Indexed as

Evolution, MolecularGene Expression RegulationLong Interspersed Nucleotide ElementsRegulatory Sequences, Nucleic AcidRetroelementsAnimalsChromosome MappingConserved SequenceEnhancer Elements, GeneticHumansMammalsOrgan SpecificityPromoter Regions, GeneticRetroelementsEnhancersGene regulationLINE L1LINE L2Long Interspersed Nuclear Elements (LINEs)MammalsPromotersRegulatory evolutionTransposable elements

Identifiers

PMID33602314
PMCPMC7890895
OpenAlexW3130610799

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.