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pmid:33149760
Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis.
Huijing Zhu · Xin Zhu · Yuhong Liu · Fusong Jiang · Miao Chen · Lin Cheng · Xingbo Cheng
Computational and mathematical methods in medicine · 2020 doi:10.1155/2020/9602016
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Experiment
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Data
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Analysis
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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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Complete file
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The online tool GEO2R was used to obtain differentially expressed genes (DEGs). Gene Ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by using Metascape for annotation, visualization, and comprehensive discovery. The protein-protein interaction (PPI) network of DEGs was constructed by using Cytoscape software to find the candidate genes and key pathways.\nRESULTS: A total of 981 DEGs were found in T2DM, including 301 upregulated genes and 680 downregulated genes. GO analyses from Metascape revealed that DEGs were significantly enriched in cell differentiation, cell adhesion, intracellular signal transduction, and regulation of protein kinase activity. KEGG pathway analysis revealed that DEGs were mainly enriched in the cAMP signaling pathway, Rap1 signaling pathway, regulation of lipolysis in adipocytes, PI3K-Akt signaling pathway, MAPK signaling pathway, and so on. On the basis of the PPI network of the DEGs, the following 6 candidate genes were identified: PIK3R1, RAC1, GNG3, GNAI1, CDC42, and ITGB1.\nCONCLUSION: Our data provide a comprehensive bioinformatics analysis of genes, functions, and pathways, which may be related to the pathogenesis of T2DM.", "claims": [{"id": "claim-method", "statement": "GEO2R was applied to explore DEGs between T2DM and normal blood samples. Statistically significant DEGs were defined with ∣logFC | ≥2, and the P value < 0.05 was the cut-off criterion.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33149760", "locator": "sections[4] \"2.2. Identification of DEGs\" paragraph 2", "quote": "GEO2R was applied to explore DEGs between T2DM and normal blood samples. 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