Frontiers in Genetics · 2021 · 14 citations · 38 references
Life SciencesCell BiologyDevelopmental BiologyCell DifferentiationGene ExpressionTissue DifferentiationDevelopmental TranscriptomicsSingle-cell GenomicsSingle-cell Rna Sequencing AnalysisComputational Biology ModelsDifferential Transcript ExpressionGene Co-expression Network AnalysisGene Expression Network AnalysisGene Network AnalysisMarker Gene ExpressionSingle-cell Rna SequencingSingle-cell Rna Sequencing Cell Type Annotation
Cashmere fineness is one of the important factors determining cashmere quality; however, our understanding of the regulation of cashmere fineness at the cellular level is limited. Here, we used single-cell RNA sequencing and computational models to identify 13 skin cell types in Liaoning cashmere goats. We also analyzed the molecular changes in the development process by cell trajectory analysis and revealed the maturation process in the gene expression profile in Liaoning cashmere goats. Weighted gene co-expression network analysis explored hub genes in cell clusters related to cashmere formation. Secondary hair follicle dermal papilla cells (SDPCs) play an important role in the growth and density of cashmere. ACTA2 , a marker gene of SDPCs, was selected for immunofluorescence (IF) and Western blot (WB) verification. Our results indicate that ACTA2 is mainly expressed in SDPCs, and WB results show different expression levels. COL1A1 is a highly expressed gene in SDPCs, which was verified by IF and WB. We then selected CXCL8 of SDPCs to verify and prove the differential expression in the coarse and fine types of Liaoning cashmere goats. Therefore, the CXCL8 gene may regulate cashmere fineness. These genes may be involved in regulating the fineness of cashmere in goat SDPCs; our research provides new insights into the mechanism of cashmere growth and fineness regulation by cells.
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WGCNA: an R package for weighted correlation network analysis
Peter Langfelder, Steve Horvath · BMC Bioinformatics · 2008 · 29.1K citations · Full text
Fast R Functions for Robust Correlations and Hierarchical Clustering.
Peter Langfelder, Steve Horvath · PubMed · 2012 · 901 citations