We aimed to identify differentially expressed genes (DEGs) in epidermal stem cells (epiSCs) in response to high fat diet (HFD). DEGs were identified by time-series analysis of the gene expression profile (GSE84510) in Gene Expression Omnibus (GEO) database. Functions and pathways affected by HFD were identified by functional annotation of DEGs. Key factors responding to HFD was identified by protein–protein interaction (PPI) network analysis. Two groups of genes with the same tendency in response to HFD were identified. ECM-related processes and PI3K pathway were altered in the early stage of obesity. A PPI network was constructed to delineate the interactions among proteins encoded by DEGs and ICAM1 and RELA were key epiSC factors respond to HFD. Our studies may provide valuable insights into the molecular mechanisms underlying how obesity affects the functions of epiSC.

中文翻译：

---

高脂饮食小鼠表皮干细胞的时间序列表达分析。

我们旨在鉴定表皮干细胞（epiSCs）中的差异表达基因（DEGs），以应对高脂饮食（HFD）。通过对基因表达综合（GEO）数据库中的基因表达谱（GSE84510）进行时间序列分析来识别DEG。通过DEG的功能注释可以确定受HFD影响的功能和途径。通过蛋白质-蛋白质相互作用（PPI）网络分析确定了对HFD作出反应的关键因素。鉴定出对HFD具有相同趋势的两组基因。在肥胖的早期阶段，ECM相关过程和PI3K途径发生了改变。构建了一个PPI网络来描述DEG和ICAM1和RELA编码的蛋白质之间的相互作用EpiSC的关键因素是对HFD的反应。我们的研究可能提供有关肥胖如何影响epiSC功能的分子机制的宝贵见解。