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Identification of Key Pathways and Genes Related to the Development of Hair Follicle Cycle in Cashmere Goats.


ABSTRACT: The development of hair follicle in cashmere goats shows significant periodic change, as with mice and humans. However, for cashmere goat with double-coat, the periodic change may be due to other regulatory molecules and signal pathways. To understand the mechanism of periodic development of hair follicle, we performed a weighted gene coexpression network analysis (WGCNA) to mine key genes and establish an interaction network by utilizing the NCBI public dataset. Ten coexpression modules, including 7689 protein-coding genes, were constructed by WGCNA, six of which are considered to be significantly related to the development of the hair follicle cycle. A functional enrichment analysis for each model showed that they are closely related to ECM- receptor interaction, focal adhesion, PI3K-Akt signaling pathway, estrogen signaling pathway, and so on. Combined with the analysis of differential expressed genes, 12 hub genes from coexpression modules were selected as candidate markers, i.e., COL1A1, C1QTNF6, COL1A2, AQP3, KRTAP3-1, KRTAP11-1, FA2H, NDUFS5, DERL2, MRPL14, ANTKMT and XAB2, which might be applied to improve cashmere production.

SUBMITTER: Wang J 

PROVIDER: S-EPMC7911279 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Identification of Key Pathways and Genes Related to the Development of Hair Follicle Cycle in Cashmere Goats.

Wang Jianfang J   Sui Jie J   Mao Chao C   Li Xiaorui X   Chen Xingyi X   Liang Chengcheng C   Wang Xiaohui X   Wang Si-Hu SH   Jia Cunling C  

Genes 20210127 2


The development of hair follicle in cashmere goats shows significant periodic change, as with mice and humans. However, for cashmere goat with double-coat, the periodic change may be due to other regulatory molecules and signal pathways. To understand the mechanism of periodic development of hair follicle, we performed a weighted gene coexpression network analysis (WGCNA) to mine key genes and establish an interaction network by utilizing the NCBI public dataset. Ten coexpression modules, includ  ...[more]

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