Evidence map›Paper›PMID 28679963›Full record

ArticleExperimental animals2017

Transgenic mice display hair loss and regrowth overexpressing mutant Hr gene.

Kuicheng Zhu, Cunshuan Xu, Jintao Zhang, Yingying Chen, Mengduan Liu

Open access · diamondAbstract read
In one paragraph

Article in Experimental animals, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Kuicheng ZhuKey Laboratory for Bioengineering, Henan Normal University, No. 46 East of Construction Road, Xinxiang City, Henan Province 453007, P.R. China.
Cunshuan XuKey Laboratory for Bioengineering, Henan Normal University, No. 46 East of Construction Road, Xinxiang City, Henan Province 453007, P.R. China.
Jintao ZhangHenan Academy of Medical and Pharmaceutical Sciences, No. 40 University Road, Zhengzhou City, Henan Province 450052, P.R. China.
Yingying ChenHenan Academy of Medical and Pharmaceutical Sciences, No. 40 University Road, Zhengzhou City, Henan Province 450052, P.R. China.
Mengduan LiuHenan Academy of Medical and Pharmaceutical Sciences, No. 40 University Road, Zhengzhou City, Henan Province 450052, P.R. China.
Henan Normal University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the hairless (Hr) gene in both mice and humans have been implicated in the development of congenital atrichia, but the role of Hr in skin and hair follicle (HF) biology remains unknown. Here, we established transgenic mice (TG) overexpressing mutant Hr to investigate its specific role in the development of HF. Three transgenic lines were successfully constructed, and two of them (TG3 and TG8) displayed a pattern of hair loss and regrowth with alternation in the expression of HR protein. The mutant Hr gene inhibited the expression of the endogenous gene in transgenic individuals, which led to the development of alopecia. Interestingly, the hair regrew with the increase in the endogenous expression levels resulting from decreased mutant Hr expression. The findings of our study indicate that the changes in the expression of Hr result in hair loss or regrowth.

Indexed as

AlopeciaAnimalsGene ExpressionHairHair FollicleHumansMice, TransgenicMutationSkin Physiological PhenomenaTranscription Factorshr protein, mouseTranscription Factorshair folliclehairlessskintransgenic mice

Identifiers

PMID28679963
PMCPMC5682350
OpenAlexW2731615488

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.