Genetic identification of an adipocyte expressed anti-diabetic target in mice selected for resistance to diet-induced obesity
Transcriptomics Dataset
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General Information
AccessionGSE80162
TitleGenetic identification of an adipocyte expressed anti-diabetic target in mice selected for resistance to diet-induced obesity
DescriptionDiscovery of genetic mechanisms of resistance to obesity and diabetes may illuminate new therapeutic strategies to tackle this escalating global health burden. We used the polygenic Lean mouse model, selected for low adiposity over 60 generations, to identify thiosulfate sulfur transferase (Tst, rhodanese) as a candidate obesity-resistance gene with selectively increased adipocyte expression. Adipose Tst expression correlated with indices of metabolic health across diverse mouse strains. Transgenic overexpression of Tst in adipocytes protected mice from diet-induced obesity and insulin-resistant diabetes. Tst gene deficiency markedly exacerbated diabetes whereas pharmacological TST activation ameliorated diabetes in mice in vivo. TST selectively augmented mitochondrial function combined with degradation of reactive oxygen species and sulfide. In humans, adipose TST mRNA correlated positively with adipose insulin sensitivity and negatively with fat mass. Genetic identification of Tst as a beneficial regulator of adipocyte mitochondrial function may have therapeutic significance for type 2 diabetes.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80162
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE80162
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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