Evidence map›Paper›PMID 31752679›Full record

ReviewBMC genomics2019

Long noncoding RNAs in lipid metabolism: literature review and conservation analysis across species.

Kevin Muret, Colette Désert, Laetitia Lagoutte, Morgane Boutin, Florence Gondret, Tatiana Zerjal, Sandrine Lagarrigue

Abstract readReview
In one paragraph

Review in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–field-weighted citation impact
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

54 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Kevin MuretPEGASE, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
Colette DésertPEGASE, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
Laetitia LagouttePEGASE, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
Morgane BoutinPEGASE, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
Florence GondretPEGASE, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
Tatiana ZerjalGABI INRA, AgroParisTech, Université Paris-Saclay, Domaine de Vilvert, 78352, Jouy-en-Josas, France.
Sandrine LagarriguePEGASE, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France. sandrine.lagarrigue@agrocampus-ouest.fr.ORCID http://orcid.org/0000-0002-4887-7245

Funding

Agence Nationale de la Recherche ChickStress Project, ANR-13-ADAPAgence Nationale de la Recherche FatInteger Project, ANR-11-SVS7
6 · The paper itself

Abstract

backgroundLipids are important for the cell and organism life since they are major components of membranes, energy reserves and are also signal molecules. The main organs for the energy synthesis and storage are the liver and adipose tissue, both in humans and in more distant species such as chicken. Long noncoding RNAs (lncRNAs) are known to be involved in many biological processes including lipid metabolism.

resultsIn this context, this paper provides the most exhaustive list of lncRNAs involved in lipid metabolism with 60 genes identified after an in-depth analysis of the bibliography, while all "review" type articles list a total of 27 genes. These 60 lncRNAs are mainly described in human or mice and only a few of them have a precise described mode-of-action. Because these genes are still named in a non-standard way making such a study tedious, we propose a standard name for this list according to the rules dictated by the HUGO consortium. Moreover, we identified about 10% of lncRNAs which are conserved between mammals and chicken and 2% between mammals and fishes. Finally, we demonstrated that two lncRNA were wrongly considered as lncRNAs in the literature since they are 3' extensions of the closest coding gene.

conclusionsSuch a lncRNAs catalogue can participate to the understanding of the lipid metabolism regulators; it can be useful to better understand the genetic regulation of some human diseases (obesity, hepatic steatosis) or traits of economic interest in livestock species (meat quality, carcass composition). We have no doubt that this first set will be rapidly enriched in coming years.

Indexed as

AnimalsChickensHumansLipid MetabolismMammalsMicePhylogenyRNA, Long NoncodingTerminology as TopicRNA, Long NoncodingEvolutionLipid metabolismLiverlncRNASynteny

Identifiers

PMID31752679
PMCPMC6868825

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.