{"title":"Genome analysis and identification of key pathway in visceral adipose tissue from obesity-related diabetes","authors":"Yue Shi, Wentao Han, Huagen Wei, Siwei Zhou, Weizheng Kong, Li-ping Shi, Huiqun Wu","doi":"10.1145/3448748.3448757","DOIUrl":null,"url":null,"abstract":"Obesity increases the risk of diabetes; however, not everyone who is obese develops diabetes. In this study, the dataset GSE54350 was downloaded from the Gene Expression Omnibus database (GEO), including obese diabetic and non-diabetic samples as control. Differentially expressed genes (DEGs) between obese diabetic and non-diabetic samples were selected using GEO2R plugin. Gene ontology (GO) enrichment and protein-protein interaction (PPI) analysis of these DEGs were performed using Metascape. The results showed 1073 DEGs, including 496 up-regulated genes and 577 down-regulated genes. These DEGs were enriched in biological pathways involved in hemostasis, regulation of organelle assembly, apoptotic signaling, myeloid leukocyte activation, apoptosis, etc. We revealed that Caspase 3 (CASP3) and tissue inhibitor of metalloproteinase 3 (TIMP3) might serve as marker genes and potential therapeutic targets for obesity-related diabetes, which deserves further investigations for validation.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3448748.3448757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Obesity increases the risk of diabetes; however, not everyone who is obese develops diabetes. In this study, the dataset GSE54350 was downloaded from the Gene Expression Omnibus database (GEO), including obese diabetic and non-diabetic samples as control. Differentially expressed genes (DEGs) between obese diabetic and non-diabetic samples were selected using GEO2R plugin. Gene ontology (GO) enrichment and protein-protein interaction (PPI) analysis of these DEGs were performed using Metascape. The results showed 1073 DEGs, including 496 up-regulated genes and 577 down-regulated genes. These DEGs were enriched in biological pathways involved in hemostasis, regulation of organelle assembly, apoptotic signaling, myeloid leukocyte activation, apoptosis, etc. We revealed that Caspase 3 (CASP3) and tissue inhibitor of metalloproteinase 3 (TIMP3) might serve as marker genes and potential therapeutic targets for obesity-related diabetes, which deserves further investigations for validation.