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Comparison of Transcriptome Between Type 2 Diabetes Mellitus and Impaired Fasting Glucose

机译:2型糖尿病与空腹血糖受损之间的转录组比较

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BACKGROUND The aim of this study was to compare the transcriptome between impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and further research their molecular mechanisms. MATERIAL AND METHODS The original microarray GSE21321, including miRNA and mRNA expression profiles, was downloaded from the GEO database. Data preprocessing was processed by limma package, and differentially expressed genes (DGs) and miRNA (DMs) were screened. Then, the regulatory relationships among miRNA, TF, and genes were screened and the regulatory network was constructed. Finally, DAVID was used for KEGG enrichment analysis. RESULTS There were 11 upregulated IFG-related DMs and five upregulated T2DM-related DMs. Three of the DMs overlapped. In addition, there were eight downregulated IFG-related DMs and two downregulated T2DM-related DMs. Only one downregulated DM overlapped. Similarly, there were 264 upregulated IFG-related DGs and 331 upregulated T2DM-related DGs; and 196 overlapping genes were obtained. In addition, there were 400 downregulated IFG-related DMs and 568 downregulated T2DM-related DMs. A total of 326 downregulated DMs were overlapped. The overlapped DGs were enriched in various pathways, including hematopoietic cell lineage, Fc gamma R-mediated phagocytosis, and MAPK signaling pathway. [i]TAF1 [/i](upregulated gene) and [i]MAFK [/i](downregulated gene) were hub nodes both in IFG- and T2DM-related miRNA-TF-gene regulatory network. In addition, miRNAs, including hsa-miR-29a, hsa-miR-192, and hsa-miR-144, were upregulated hub nodes in the two regulatory networks. CONCLUSIONS Genes including [i]TAF1 [/i]and [i]MAFK[/i], and miRNAs including hsa-miR-29a, hsa-miR-192, and hsa-miR-144 might be potential target genes and important miRNAs for IFG and T2DM.
机译:背景技术这项研究的目的是比较空腹血糖受损(IFG)和2型糖尿病(T2DM)之间的转录组,并进一步研究其分子机制。材料和方法原始的微阵列GSE21321,包括miRNA和mRNA表达谱,是从GEO数据库下载的。通过limma软件包处理数据预处理,并筛选差异表达基因(DGs)和miRNA(DMs)。然后,筛选miRNA,TF和基因之间的调控关系,并构建调控网络。最后,DAVID被用于KEGG富集分析。结果共有11个IFG相关的DM和5个T2DM相关的DM。三个DM重叠。此外,还有八种IFG相关的DM下调,以及两种T2DM相关的DM下调。只有一个下调的DM重叠。同样,IFG相关的DG有264个上调,T2DM相关的DG有331个上调。获得了196个重叠基因。另外,有400个IFG相关的DM下调和568个T2DM相关的DM下调。共有326个下调的DM重叠。重叠的DGs富含多种途径,包括造血细胞谱系,FcγR介导的吞噬作用和MAPK信号传导途径。 [i] TAF1 [/ i](上调基因)和[i] MAFK [/ i](下调基因)在IFG和与T2DM相关的miRNA-TF基因调控网络中都是枢纽节点。此外,包括hsa-miR-29a,hsa-miR-192和hsa-miR-144在内的miRNA在两个调节网络中均被上调。结论包括[i] TAF1 [/ i]和[i] MAFK [/ i]的基因以及包括hsa-miR-29a,hsa-miR-192和hsa-miR-144的miRNA可能是潜在的靶基因和重要的miRNA。用于IFG和T2DM。

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