Evidence map›Paper›PMID 31338090›Full record

ArticleFrontiers in immunology2019

The Exaptation of HERV-H: Evolutionary Analyses Reveal the Genomic Features of Highly Transcribed Elements.

Patrick Gemmell, Jotun Hein, Aris Katzourakis

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  9. Article
  10. Human Endogenous Retroviruses in Diseases.Sub-cellular biochemistry · 2023
    Article
  11. Delineating highly transcribed noncoding elements landscape in breast cancer.Computational and structural biotechnology journal · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Posttranscriptional regulation of human endogenous retroviruses by RNA-binding motif protein 4, RBM4.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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

3 authors at 1 institution in 1 country.

Patrick GemmellDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Jotun HeinDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
Aris KatzourakisDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
University of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HERV-H endogenous retroviruses are thought to be essential to stem cell identity in humans. We embrace several decades of HERV-H research in order to relate the transcription of HERV-H loci to their genomic structure. We find that highly transcribed HERV-H loci are younger, more fragmented, and less likely to be present in other primate genomes. We also show that repeats in HERV-H LTRs are correlated to where loci are transcribed: type-I LTRs associate with stem cells while type-II repeats associate with embryonic cells. Our findings are generally in line with what is known about endogenous retrovirus biology but we find that the presence of the zinc finger motif containing region of

Indexed as

AnimalsBase SequenceCallithrixEndogenous RetrovirusesEvolution, MolecularGene Products, envGene Products, gagGene Products, polGenome, ViralGenomicsGorilla gorillaHumansMacacaPan troglodytesPongoSequence AlignmentGene Products, envGene Products, gagGene Products, polendogenous retrovirusexaptationHERV-Hstem celltranscription

Identifiers

PMID31338090
PMCPMC6629862
OpenAlexW2960968164

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.