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Study of differential effects of TGF-beta3/BMP2 on chondrogenesis in MSC cells by gene microarray data analysis

机译:基因微阵列数据分析研究TGF-Beta3 / BMP2对MSC细胞软骨发生的差异效应

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In order to explore the differential effects of TGF-beta3 and BMP2 on chondrogenesis in mesenchymal stem cells (MSCs), the gene expression profiles of MSC treated with TGF-beta3 and BMP2 were subjected to systematic analysis on the gene and functional level. The gene expression profiles of MSCs (downloaded from Gene Expression Omnibus database) in the early and later stages, induced with TGF-beta2 and BMP2, were analyzed using packages within R software and the differentially expressed genes (DEGs) were screened. The DEGs both in the two experimental groups were subjected to Gene Ontology and pathway enrichment analysis. The protein-protein interaction (PPI) networks of the DEGs were constructed using cytoscape software. Among the DEGs, 1,194 genes were up-regulated and 580 genes were down-regulated. The up-regulated genes were mainly enriched in the TGF-beta and cell cycle signaling pathways and down-regulated genes were mainly enriched in the insulin-mediated signal pathway, metabolic pathway of fructose and mannose, and glycolysis/ gluconeogenesis pathway. Based on the PPI network analysis, the genes of KIAA0101, NEDD4, and TINF2 were confirmed to be important on chondrogenesis. The analysis of DEGs both in TGF-beta3 and BMP2 treated MSCs indicates that the genes are mainly involved in the cell cycle and intracellular signaling pathways. Also the similar gene expression profile can be achieved by transcription factors or microRNAs (miR-199a-5p and miR-31-5p) based on our prediction, which can provide a new approach for the treatment of cartilage injury.
机译:为了探讨TGF-β3和BMP2对间充质干细胞(MSCs)中软骨发生的差异影响,用TGF-β3和BMP2处理的MSC基因表达谱进行对基因和功能水平的系统分析。使用R软件内的封装和差异表达基因(DEGS)诱导用TGF-BETA2和BMP2诱导的早期阶段和较高阶段的MSCs(从基因表达OMNIBUS数据库中下载)的基因表达谱。对两种实验组中的次数进行基因本体论和途径富集分析。使用Cytoscape软件构建DEG的蛋白质 - 蛋白质相互作用(PPI)网络。在DEG中,上调1,194个基因,下调580个基因。主要富集的TGF-β和细胞周期信号通路和下调基因主要富集,主要富集在胰岛素介导的信号途径,果糖和甘露糖的代谢途径,以及糖酵解/葡糖生成途径的下调基因。基于PPI网络分析,确认KIAA0101,NEDD4和TINF2的基因对软骨发生是重要的。 TGF-Beta3和BMP2处理MSC中的DEGs分析表明该基因主要参与细胞周期和细胞内信号传导途径。此外,类似的基因表达谱可以通过基于我们的预测来通过转录因子或MicroRNA(MiR-199A-5P和MIR-31-5P)来实现,这可以为治疗软骨损伤提供新方法。

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