Background: Skin-derived precursors (SKPs) display the characteristics of self-renewal and multilineage differentiation. Objective: The study aimed to explore the molecular mechanisms of mouse SKPs differentiation into SKP-derived fibroblasts (SFBs). Methods: We compared the microRNA (miRNA) profile in mouse SKPs and SFBs by RNA sequenc-ing. Real-time quantitative reverse transcription PCR (qRT-PCR) was performed to validate the miRNA expression. The integrated analysis of miRNA and mRNA expression data was performed to explore the potential crosstalk of miRNA-mRNA in SKP differentiation. Results: 207 differentially expressed miRNAs and 835 miRNA target genes in the gene list of integrated mRNA expression profiling were identified. Gene Ontology (GO) enrichment analysis revealed that cell differentiation and cell proliferation process were significantly enriched. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed the target genes were significantly most enriched in the cytokine-cytokine receptor interaction, cancer pathways and axon guidance signaling pathway. The most upregulated and downregulated target genes were involved in the Wnt, Notch, cytokine-cytokine receptor interaction, TGF-β, p53 and apoptotic signaling pathway. The miRNA-mRNA regulatory net-works and 507 miRNA-mRNA pairs were constructed. Seven miRNAs (miR-486-3p, miR-504-5p, miR-149-3p, miR-31-5p, miR-484, miR-328-5p and miR-22-5p) and their target genes Wnt4, Dlx2, Se-ma4f, Kit, Kitl, Inpp5d, Igfbp3, Prdm16, Sfn, Irf6 and Clu were identified as miRNA-mRNA crosstalk pairs. Conclusion: These genes and signaling pathways might control SKPs proliferation and SKPs differen-tiation into SFBs during the process of SKPs differentiation, which might promote the application of SKPs in the clinical treatment of skin-related diseases by regulating SKPs proliferation and SKPs differ-entiation.

中文翻译：

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通过 RNASeq 对小鼠皮肤衍生前体 (SKP) 和 SKP 衍生成纤维细胞 (SFB) 中的 microRNA 和 mRNA 进行综合转录组分析

背景：皮肤衍生前体（SKPs）表现出自我更新和多向分化的特征。目的：本研究旨在探讨小鼠SKPs分化为SKP衍生成纤维细胞（SFBs）的分子机制。方法：我们通过 RNA 测序比较了小鼠 SKP 和 SFB 中的 microRNA (miRNA) 谱。进行实时定量逆转录 PCR (qRT-PCR) 以验证 miRNA 表达。对 miRNA 和 mRNA 表达数据进行综合分析，以探索 miRNA-mRNA 在 SKP 分化中的潜在串扰。结果：在整合的mRNA表达谱基因列表中鉴定出207个差异表达的miRNA和835个miRNA靶基因。基因本体（GO）富集分析显示细胞分化和细胞增殖过程显着富集。京都基因和基因组百科全书 (KEGG) 通路分析显示，靶基因在细胞因子-细胞因子受体相互作用、癌症通路和轴突引导信号通路中显着富集。上调和下调最多的靶基因涉及 Wnt、Notch、细胞因子-细胞因子受体相互作用、TGF-β、p53 和凋亡信号通路。构建了 miRNA-mRNA 调控网络和 507 个 miRNA-mRNA 对。七种 miRNA（miR-486-3p、miR-504-5p、miR-149-3p、miR-31-5p、miR-484、miR-328-5p 和 miR-22-5p）及其靶基因 Wnt4、Dlx2 、Se-ma4f、Kit、Kitl、Inpp5d、Igfbp3、Prdm16、Sfn、Irf6 和 Clu 被鉴定为 miRNA-mRNA 串扰对。结论：