Evidence map›Paper›PMID 33351808›Full record

ArticlePloS one2020

Using WGCNA (weighted gene co-expression network analysis) to identify the hub genes of skin hair follicle development in fetus stage of Inner Mongolia cashmere goat.

Zhihong Wu, Erhan Hai, Zhengyang Di, Rong Ma, Fangzheng Shang, Yu Wang, Min Wang, Lili Liang, Youjun Rong, Jianfeng Pan and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  4. Deciphering the molecular drivers for cashmere/pashmina fiber production in goats: a comprehensive review.Mammalian genome : official journal of the International Mammalian Genome Society · 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

16 authors at 1 institution in 1 country.

Zhihong WuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.ORCID 0000-0001-9448-8251
Erhan HaiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Zhengyang DiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Rong MaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Fangzheng ShangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Yu WangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Min WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Lili LiangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Youjun RongCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Jianfeng PanCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Wenbin WuZhenlai Hehe Animal Husbandry Development Co., Ltd, Baicheng, China.
Rui SuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Zhiying WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Ruijun WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Yanjun ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.ORCID 0000-0002-9575-415X
Jinquan LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Inner Mongolia Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMature hair follicles represent an important stage of hair follicle development, which determines the stability of hair follicle structure and its ability to enter the hair cycle. Here, we used weighted gene co-expression network analysis (WGCNA) to identify hub genes of mature skin and hair follicles in Inner Mongolian cashmere goats.

methodsWe used transcriptome sequencing data for the skin of Inner Mongolian cashmere goats from fetal days 45-135 days, and divided the co expressed genes into different modules by WGCNA. Characteristic values were used to screen out modules that were highly expressed in mature skin follicles. Module hub genes were then selected based on the correlation coefficients between the gene and module eigenvalue, gene connectivity, and Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The results were confirmed by quantitative polymerase chain reaction (qPCR).

resultsTen modules were successfully defined, of which one, with a total of 3166 genes, was selected as a specific module through sample and gene expression pattern analyses. A total of 584 candidate hub genes in the module were screened by the correlation coefficients between the genes and module eigenvalue and gene connectivity. Finally, GO/KEGG functional enrichment analyses detected WNT10A as a key gene in the development and maturation of skin hair follicles in fetal Inner Mongolian cashmere goats. qPCR showed that the expression trends of 13 genes from seven fetal skin samples were consistent with the sequencing results, indicating that the sequencing results were reliable.n.

Indexed as

AnimalsChinaFetal DevelopmentFetusGene Expression ProfilingGene OntologyGene Regulatory NetworksGenomeGoatsHair FollicleRNA, MessengerSkinTranscriptomeRNA, Messenger

Identifiers

PMID33351808
PMCPMC7755285
OpenAlexW3117575082

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.