标题:Bioinformatic analysis of specific genes in diabetic nephropathy
作者:Fu, Fangming;Wei, Xueling;Liu, Jinbo;Mi, Nianrong
作者机构:[Fu, F] Department of Endocrinology, Jinan Central Hospital Affiliated to Shandong University, No. 105, Jiefang Road, Jinan City, Shandong Province, 2 更多
通讯作者:Fu, FM
通讯作者地址:[Fu, FM]Shandong Univ, Jinan Cent Hosp, Dept Endocrinol, 105 Jiefang Rd, Jinan 250013, Shandong, Peoples R China.
来源:Renal Failure
出版年:2015
卷:37
期:7
页码:1219-1224
DOI:10.3109/0886022X.2015.1061887
关键词:Diabetic nephropathy;differentially expressed genes;mechanism;microarray expression profiles;protein-protein interaction network
摘要:Objective: We attempt to explore the pathogenesis and specific genes with aberrant expression in diabetic nephropathy (DN). Methods: The gene expression profile of GSE1009 was downloaded from Gene Expression Omnibus database, including 3 normal function glomeruli and DN glomeruli from cadaveric donor kidneys. The differentially expressed genes (DEGs) were analyzed and the aberrant gene-related functions were predicted by informatics methods. The protein-protein interaction (PPI) networks for DEGs were constructed and the functional subnetwork was screened. Results: A total of 416 DEGs were found to be differentially expressed in DN samples comparing with normal controls, including 404 up-regulated genes and 12 down-regulated genes. DEGs were involved in the process of combination to saccharides and the decline of tissue repairing ability of the organisms. The genes of VEGFA, ACTG1, HSP90AA1 had high degree in the PPI network. The main biological process of genes in the sub-network was related with cell proliferation and signal transmitting of cell membrane receptor. Conclusion: Significant nodes in PPI network provide new insights to understand the mechanism of DN. VEGFA, ACTG1 and HSP90AA1 may be the potential targets in the DN treatment.
收录类别:SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941904193&doi=10.3109%2f0886022X.2015.1061887&partnerID=40&md5=df4f598f2db6d4388d226bb7cff18736
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