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find Keyword "Bioinformatical analysis" 1 results
  • Bioinformatics analysis of gene expression in Mesio-temporal lobe epilepsy

    ObjectiveTo investigate the significant genes in Mesio-temporal lobe epilepsy (MTLE) and explore the molecular mechanism of MTLE.MethodsThe microarray data of MTLE were downloaded from the Gene Expression Omnibus (GEO) database and analyzed by bioinformatics methods using GEO2R tool, Venny2.1.0, FUNRICH and Cytoscape software, DAVID and String databases.ResultsOf all the 331 differentially expressed genes(DEGs), 46 genes were down-regulated and 285 genes were up-regulated in dataset GSE88992; Furthermore, the core module genes were identified from those DEGs, which were expressed mostly in plasma membrane and extracellular space; The major molecular funtion were chemokine activity, cytokine activity and chemokine receptor binding; The main biological pathways involved neutrophil chemotaxis, inflammatory response and positive regulation of ERK1 and ERK2 cascade; The KEGG analysis showed DEGs enriched in Chemokine signaling pathway, Cytokine-cytokine receptor interaction and Complement and coagulation cascades. In addition, ten hub genes (Il6, Fos, Stat3, Ptgs2, Ccl2, Timp1, Cd44, Icam1, Atf3, Cxcl1) were found to significantly express in the MTLE.ConclusionThe pathogenesis of MTLE involves multiple genes, and multiple cell signaling pathways. Thus investigations of these genes may provide valuable insights into the mechanism of MTLE.

    Release date:2020-07-20 08:13 Export PDF Favorites Scan
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