Evidence map›Paper›PMID 22272275›Full record

ArticlePloS one2012

LIPH expression in skin and hair follicles of normal coat and Rex rabbits.

Mathieu Diribarne, Xavier Mata, Julie Rivière, Stéphan Bouet, Anne Vaiman, Jérôme Chapuis, Fabienne Reine, Renaud Fleurot, Gérard Auvinet, Séverine Deretz and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

14 authors at 3 institutions in 2 countries.

Mathieu DiribarneINRA, UMR1313, Unité de Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France.
Xavier Mata
Julie Rivière
Stéphan Bouet
Anne Vaiman
Jérôme Chapuis
Fabienne Reine
Renaud Fleurot
Gérard Auvinet
Séverine Deretz
Daniel Allain
Laurent Schibler
Edmond-Paul Cribiu
Gérard Guérin
Institut National de la Recherche Agronomique · MAGénétique Animale et Biologie Intégrative · FRVirologie et Immunologie Moléculaires · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural mutations in the LIPH gene were shown to be responsible for hair growth defects in humans and for the rex short hair phenotype in rabbits. In this species, we identified a single nucleotide deletion in LIPH (1362delA) introducing a stop codon in the C-terminal region of the protein. We investigated the expression of LIPH between normal coat and rex rabbits during critical fetal stages of hair follicle genesis, in adults and during hair follicle cycles. Transcripts were three times less expressed in both fetal and adult stages of the rex rabbits than in normal rabbits. In addition, the hair growth cycle phases affected the regulation of the transcription level in the normal and mutant phenotypes differently. LIPH mRNA and protein levels were higher in the outer root sheath (ORS) than in the inner root sheath (IRS), with a very weak signal in the IRS of rex rabbits. In vitro transfection shows that the mutant protein has a reduced lipase activity compared to the wild type form. Our results contribute to the characterization of the LIPH mode of action and confirm the crucial role of LIPH in hair production.

Indexed as

Gene Expression Regulation, DevelopmentalGene Expression Regulation, EnzymologicAnimalsCHO CellsCricetinaeCricetulusFemaleGenotypeHairHair FollicleImmunohistochemistryIn Situ HybridizationLipaseMaleMutant ProteinsMutationLipaseMutant ProteinsPhospholipases A1

Identifiers

PMID22272275
PMCPMC3260196
OpenAlexW1968201346

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.