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A nutrigenomic framework to identify time-resolving responses of hepatic genes in diet-induced obese mice.

DC Field Value Language
dc.contributor.authorHeo, HS-
dc.contributor.authorKim, E-
dc.contributor.authorJeon, SM-
dc.contributor.authorKwon, EY-
dc.contributor.authorShin, SK-
dc.contributor.authorPaik, H-
dc.contributor.authorHur, CG-
dc.contributor.authorChoi, MS-
dc.date.accessioned2014-05-13-
dc.date.available2014-05-13-
dc.date.issued2013-
dc.identifier.issn1016-8478-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/9935-
dc.description.abstractObesity and its related complications have emerged as global health problems; however, the pathophysiological mechanism of obesity is still not fully understood. In this study, C57BL/6J mice were fed a normal (ND) or high-fat diet (HFD) for 0, 2, 4, 6, 8, 12, 20, and 24 weeks and the time course was systemically analyzed specifically for the hepatic transcriptome profile. Genes that were differentially expressed in the HFD-fed mice were clustered into 49 clusters and further classified into 8 different expression patterns: long-term up-regulated (pattern 1), long-term downregulated (pattern 2), early up-regulated (pattern 3), early down-regulated (pattern 4), late up-regulated (pattern 5), late down-regulated (pattern 6), early up-regulated and late down-regulated (pattern 7), and early down-regulated and late up-regulated (pattern 8) HFD-responsive genes. Within each pattern, genes related with inflammation, insulin resistance, and lipid metabolism were extracted, and then, a protein-protein interaction network was generated. The pattern specific sub-network was as follows: pattern 1, cellular assembly and organization, and immunological disease, pattern 2, lipid metabolism, pattern 3, gene expression and inflammatory response, pattern 4, cell signaling, pattern 5, lipid metabolism, molecular transport, and small molecule biochemistry, pattern 6, protein synthesis and cell-to cell signaling and interaction and pattern 7, cell-to cell signaling, cellular growth and proliferation, and cell death. For pattern 8, no significant sub-networks were identified. Taken together, this suggests that genes involved in regulating gene expression and inflammatory response are up-regulated whereas genes involved in lipid metabolism and protein synthesis are down-regulated during diet-induced obesity development.-
dc.language.isoen-
dc.subject.MESHAnimals-
dc.subject.MESHCluster Analysis-
dc.subject.MESHDiet, High-Fat-
dc.subject.MESHDown-Regulation-
dc.subject.MESHGene Expression Profiling-
dc.subject.MESHGene Expression Regulation-
dc.subject.MESHGene Regulatory Networks-
dc.subject.MESHInflammation-
dc.subject.MESHInsulin Resistance-
dc.subject.MESHLipid Metabolism-
dc.subject.MESHLiver-
dc.subject.MESHMale-
dc.subject.MESHMice-
dc.subject.MESHMice, Inbred C57BL-
dc.subject.MESHMice, Obese-
dc.subject.MESHMultigene Family-
dc.subject.MESHNutrigenomics-
dc.subject.MESHObesity-
dc.subject.MESHProtein Interaction Maps-
dc.subject.MESHRNA, Messenger-
dc.subject.MESHTime Factors-
dc.subject.MESHUp-Regulation-
dc.titleA nutrigenomic framework to identify time-resolving responses of hepatic genes in diet-induced obese mice.-
dc.typeArticle-
dc.identifier.pmid23813319-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3887924/-
dc.contributor.affiliatedAuthor백, 효정-
dc.type.localJournal Papers-
dc.identifier.doi10.1007/s10059-013-2336-3-
dc.citation.titleMolecules and cells-
dc.citation.volume36-
dc.citation.number1-
dc.citation.date2013-
dc.citation.startPage25-
dc.citation.endPage38-
dc.identifier.bibliographicCitationMolecules and cells, 36(1). : 25-38, 2013-
dc.identifier.eissn0219-1032-
dc.relation.journalidJ010168478-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
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