PLX277860

GSE80162: Genetic identification of an adipocyte expressed anti-diabetic target in mice selected for resistance to diet-induced obesity

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project Gene expression profiles of Type 2 Diabetes

Discovery 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. SOURCE: Steven,C,Munger (steven.munger@jax.org) - Steven Munger The Jackson Laboratory

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team