Evidence map›Paper›PMID 35172715›Full record

ArticleBMC genomics2022

Time-course RNA-seq analysis reveals stage-specific and melatonin-triggered gene expression patterns during the hair follicle growth cycle in Capra hircus.

Chun Li, Cong Feng, Guangyuan Ma, Shaoyin Fu, Ming Chen, Wenguang Zhang, Jinquan Li

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 27 citations in OpenAlex.

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  10. Genomic Inbreeding and Runs of Homozygosity Analysis of Cashmere Goat.Animals : an open access journal from MDPI · 2024
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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

7 authors at 4 institutions in 1 country.

Chun Li *College of Animal Science and Technology, Inner Mongolia Minzu University, Tongliao, 028000, China.
Cong Feng *College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Guangyuan Ma *College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Shaoyin FuInner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010018, China.
Ming ChenCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, China. mchen@zju.edu.cn.
Wenguang ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China. atcgnmbi@yahoo.com.cn.
Jinquan LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China. lijinquan_nd@126.com.
Inner Mongolia Agricultural University · CNMinzu University of China · CNZhejiang University · CNInner Mongolia Academy of Agricultural & Animal Husbandry Sciences · CN

Funding

Doctoral Scientific Research Foundation of Inner Mongolia University for Nationalities BS308National Natural Science Foundation of China 31402052Natural Science Foundation of Inner Mongolia 2019MS03078, 2019BS03006, 2019LH03012Special Open Project on the Construction of Mongolian Pharmacy Doctoral Station for National Service with Special Needs MDMYBJ2019004
6 · The paper itself

Abstract

backgroundCashmere goat is famous for its high-quality fibers. The growth of cashmere in secondary hair follicles exhibits a seasonal pattern arising from circannual changes in the natural photoperiod. Although several studies have compared and analyzed the differences in gene expression between different hair follicle growth stages, the selection of samples in these studies relies on research experience or morphological evidence. Distinguishing hair follicle growth cycle according to gene expression patterns may help to explore the regulation mechanisms related to cashmere growth and the effect of melatonin from a molecular level more accurately.

resultsIn this study, we applied RNA-sequencing to the hair follicles of three normal and three melatonin-treated Inner Mongolian cashmere goats sampled every month during a whole hair follicle growth cycle. A total of 3559 and 988 genes were subjected as seasonal changing genes (SCGs) in the control and treated groups, respectively. The SCGs in the normal group were divided into three clusters, and their specific expression patterns help to group the hair follicle growth cycle into anagen, catagen and telogen stages. Some canonical pathways such as Wnt, TGF-beta and Hippo signaling pathways were detected as promoting the hair follicle growth, while Cell adhesion molecules (CAMs), Cytokine-cytokine receptor interaction, Jak-STAT, Fc epsilon RI, NOD-like receptor, Rap1, PI3K-Akt, cAMP, NF-kappa B and many immune-related pathways were detected in the catagen and telogen stages. The PI3K-Akt signaling, ECM-receptor interaction and Focal adhesion were found in the transition stage between telogen to anagen, which may serve as candidate biomarkers for telogen-anagen regeneration. A total of 16 signaling pathways, 145 pathway mRNAs, and 93 lncRNAs were enrolled to construct the pathway-mRNA-lncRNA network, which indicated the function of lncRNAs through interacting with their co-expressed mRNAs. Pairwise comparisons between the control and melatonin-treated groups also indicated 941 monthly differentially expressed genes (monthly DEGs). These monthly DEGs were mainly distributed from April and September, which revealed a potential signal pathway map regulating the anagen stage triggered by melatonin. Enrichment analysis showed that Wnt, Hedgehog, ECM, Chemokines and NF-kappa B signaling pathways may be involved in the regulation of non-quiescence and secondary shedding under the influence of melatonin.

conclusionsOur study decoded the key regulators of the whole hair follicle growth cycle, laying the foundation for the control of hair follicle growth and improvement of cashmere yield.

Indexed as

Hair FollicleMelatoninAnimalsGene ExpressionGene Expression ProfilingGoatsPhosphatidylinositol 3-KinasesSequence Analysis, RNAMelatoninPhosphatidylinositol 3-KinasesCashmere goatHair follicle growth cycleMelatoninRNA-seqSignaling pathway

Identifiers

PMID35172715
PMCPMC8848980
OpenAlexW4213151072

What OpenQuestion holds

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LicenceCC BY
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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.