Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Adenoviral shRNA-based knockdown of hepatic Tcf2 (Ad-shTcf2)


ABSTRACT: Insulin resistance represents a hallmark during the development of type 2 diabetes mellitus (T2D) and in the pathogenesis of obesity-associated disturbances of glucose and lipid metabolism 1,2,3. MicroRNA (miR)-dependent posttranscriptional gene silencing has recently been recognized to control gene expression in disease development and progression including that of insulin-resistant T2D. MiRs, whose deregulation alters hepatic insulin sensitivity include miR-143, miR-181 and miR-103/107. Here we report that expression of miR-802 is increased in liver of two obese mouse models and of obese human subjects. Inducible transgenic overexpression of miR-802 in mice causes impaired glucose tolerance and attenuates insulin sensitivity, while reduction of miR-802 expression improves glucose tolerance and insulin action. We identify Tcf2 as a target of miR-802-dependent silencing and shRNA-mediated reduction of Tcf2 in liver causes glucose intolerance, impairs insulin signaling and promotes hepatic gluconeogenesis. In turn, hepatic overexpression of Tcf2 improves insulin sensitivity in db/db mice. Thus, the present study defines a critical role for deregulated expression of miR-802 in the development of obesity-associated impairment of glucose metabolism via targeting Tcf2 and assigns Tcf2 an unexpected role in the control of hepatic insulin sensitivity. Adenoviruses (Ad5) encoding either GFP (Ad-Ctrl 1-3) or shTcf2 (Ad-shTcf2 1-4) were injected into the tail vein of C57BL/6 mice at 1x10E10 viral particles (VP) per gram bodyweight. Biotin-labeled cDNA was synthesized using GeneChip Whole Transcript Sense Labeling Assay (Affymetrix) according to vendorM-bM-^@M-^Ys instructions. After fragmentation, cDNAs were hybridized for 17h at 45M-BM-0C on Affymetrix Mouse Gene 1.0 ST Arrays. The Arrays were washed and stained in the GeneChip Fluidics Station 450 and scanned on a GeneChip Scanner 3000 7G (Affymetrix). Data intensities were log transformed and normalized with a quantile normalization method using Affymetrix Power Tools. Differentially expressed genes were identified according to statistical evidence indicated by Student's t-test and fold change statistics

ORGANISM(S): Mus musculus

SUBMITTER: Jan-Wilhelm Kornfeld 

PROVIDER: E-GEOD-42188 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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