Microarray analysis reveals gene and microRNA signatures in diabetic kidney disease.
Microarray analysis reveals gene and microRNA signatures in diabetic kidney disease.
复制标题
微阵列分析揭示了糖尿病肾脏疾病中的基因和microRNA特征。
DOI：
10.3892/mmr.2017.8177
复制
发表时间：
2018-03
影响因子：
3.4
通讯作者：
Zhang S
中科院分区：
文献类型：
--
作者：
Cui C;Cui Y;Fu Y;Ma S;Zhang S
目前的研究旨在鉴定糖尿病肾病 (DKD) 的治疗基因和 microRNA (miRNA) 生物标志物。使用公共表达谱 GSE30122。数据预处理后，使用limma包选择DKD肾小球样本和肾小管样本中的差异表达基因（DEG），并将它们与相应的对照进行比较。然后鉴定肾小球和肾小管中重叠的DEG并进行富集分析。此外，还进行了蛋白质-蛋白质相互作用（PPI）网络分析以及子网络分析。使用 WebGestal 研究了重叠 DEG 的 miRNA。总共选择了 139 个上调和 28 个下调的重叠 DEG，这些 DEG 主要与细胞外基质 (ECM)-受体相互作用和细胞因子-细胞因子受体相互作用所涉及的途径相关。 CD44、纤连蛋白1、C-C基序趋化因子配体5和C-X-C基序趋化因子受体4是PPI网络中的四个主要节点。 miRNA (miR)-17-5p、miR-20a 和 miR-106a 很重要，核受体亚家族 4 A 组成员 3 (NR4A3)、蛋白酪氨酸磷酸酶、O 型受体 (PTPRO) 和 Kruppel 样因子 9 (KLF9) 均被预测为集成 miRNA-靶标网络中这三个 miRNA 的靶基因。在 DKD 中发现了几个基因，这些基因可能参与 ECM-受体相互作用和细胞因子-细胞因子受体相互作用等途径。三种 miRNA 也可用作 DKD 治疗的生物标志物，包括 miR-17-5p、miR-20a 和 miR-106a，预测靶标为 NR4A3、PTPRO 和 KLF9。
The current study aimed to identify therapeutic gene and microRNA (miRNA) biomarkers for diabetic kidney disease (DKD). The public expression profile GSE30122 was used. Following data preprocessing, the limma package was used to select differentially-expressed genes (DEGs) in DKD glomeruli samples and tubuli samples and they were compared with corresponding controls. Then overlapping DEGs in glomeruli and tubuli were identified and enriched analysis was performed. In addition, protein-protein interaction (PPI) network analysis as well as sub-network analysis was conducted. miRNAs of the overlapping DEGs were investigated using WebGestal. A total of 139 upregulated and 28 downregulated overlapping DEGs were selected, which were primarily associated with pathways involved in extracellular matrix (ECM)-receptor interactions and cytokine-cytokine receptor interactions. CD44, fibronectin 1, C-C motif chemokine ligand 5 and C-X-C motif chemokine receptor 4 were four primary nodes in the PPI network. miRNA (miR)-17-5p, miR-20a and miR-106a were important and nuclear receptor subfamily 4 group A member 3 (NR4A3), protein tyrosine phosphatase, receptor type O (PTPRO) and Kruppel like factor 9 (KLF9) were all predicted as target genes of the three miRNAs in the integrated miRNA-target network. Several genes were identified in DKD, which may be involved in pathways such as ECM-receptor interaction and cytokine-cytokine receptor interaction. Three miRNAs may also be used as biomarkers for therapy of DKD, including miR-17-5p, miR-20a and miR-106a, with the predicted targets of NR4A3, PTPRO and KLF9.
登录
查看更多内容
影响因子：
8.2
作者：
Brosius FC;Tuttle KR;Kretzler M
通讯作者：
Kretzler M
DOI：
10.1073/pnas.0611192104
发表时间：
2007-02-27
影响因子：
11.1
作者：
Kato, Mitsuo;Zhang, Jane;Natarajan, Rama
通讯作者：
Natarajan, Rama
影响因子：
3.3
作者：
Latora, V.;Marchiori, M.
通讯作者：
Marchiori, M.
值此 2013 年世界糖尿病日之际；糖尿病教育和预防；肾脏病学的观点。
影响因子：
0.7
作者：
Nasri H
通讯作者：
Nasri H
DOI：
10.1073/pnas.0800679105
发表时间：
2008-07-22
影响因子：
11.1
作者：
Dagan, Tal;Artzy-Randrup, Yael;Martin, William
通讯作者：
Martin, William