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pmid:30186872
Integration of Gene Expression Profile Data to Screen and Verify Hub Genes Involved in Osteoarthritis.
Zhaoyan Li · Qingyu Wang · Gaoyang Chen · Xin Li · Qiwei Yang · Zhenwu Du · Ming Ren · Yang Song · Guizhen Zhang
BioMed research international · 2018 doi:10.1155/2018/9482726
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Experiment
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Analysis
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Complete file
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The aim of this study was to screen and verify hub genes involved in OA and explore potential molecular mechanisms. The expression profiles of GSE12021 and GSE55235 were downloaded from the Gene Expression Omnibus (GEO) database, which contained 39 samples, including 20 osteoarthritis synovial membranes and 19 matched normal synovial membranes. The raw data were integrated to obtain differentially expressed genes (DEGs) and were deeply analyzed by bioinformatics methods. The Gene Ontology (GO) and pathway enrichment of DEGs were performed by DAVID and Kyoto Encyclopedia of Genes and Genomes (KEGG) online analyses, respectively. The protein-protein interaction (PPI) networks of the DEGs were constructed based on data from the STRING database. The top 10 hub genes VEGFA, IL6, JUN, IL1β, MYC, IL4, PTGS2, ATF3, EGR1, and DUSP1 were identified from the PPI network. 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