Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
Enter gene symbol:

Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
Liver
GSM4775191 GSM4775192 GSM4775193 GSM4775194 GSM4775195
GSM4775186 GSM4775187 GSM4775188 GSM4775189 GSM4775190
Subcutaneous white adipose tissue
GSM4775201 GSM4775202 GSM4775203 GSM4775204 GSM4775205
GSM4775196 GSM4775197 GSM4775198 GSM4775199 GSM4775200
Description

Submission Date: Sep 10, 2020

Summary: Obesity is associated with insulin resistance, an important risk factor of type 2 diabetes, atherogenic dyslipidemia, nonalcoholic fatty liver disease (NAFLD), and cardiovascular disease. It has been postulated that accumulation of visceral adipose tissue (VAT) causes obesity-induced insulin resistance. The major purpose of this study was to test hypothesis that prophylactic VAT removal prevents the development of obesity-induced multi-organ (liver, skeletal muscle, adipose tissue) insulin resistance, dyslipidemia, and NAFLD. Accordingly, we surgically removed epididymal VAT from adult C57BL/6J mice and then evaluated in vivo and cellular metabolic pathways involved in glucose and lipid metabolism following feeding of chronic high-fat diet (HFD). We found that VAT removal prevented HFD-induced insulin resistance and markedly increased AKT-mediated insulin signaling in subcutaneous adipose tissue (SAT), liver, and skeletal muscle. VAT removal improved plasma lipid profiling and prevented obesity-induced NAFLD. In addition, VAT removal significantly increased circulating level of adiponectin, a key insulin-sensitizing adipokine, whereas it decreased interleukin-6, a pro-inflammatory adipokine. Data obtained from RNA-sequencing suggest that VAT removal prevents obesity-induced oxidative stress and inflammation in liver and SAT respectively. These findings demonstrate the causative role of VAT in the development of obesity and related systemic metabolic complications, such as insulin resistance, dyslipidemia, and NAFLD.

GEO Accession ID: GSE157798

PMID: 33869980

Description

Submission Date: Sep 10, 2020

Summary: Obesity is associated with insulin resistance, an important risk factor of type 2 diabetes, atherogenic dyslipidemia, nonalcoholic fatty liver disease (NAFLD), and cardiovascular disease. It has been postulated that accumulation of visceral adipose tissue (VAT) causes obesity-induced insulin resistance. The major purpose of this study was to test hypothesis that prophylactic VAT removal prevents the development of obesity-induced multi-organ (liver, skeletal muscle, adipose tissue) insulin resistance, dyslipidemia, and NAFLD. Accordingly, we surgically removed epididymal VAT from adult C57BL/6J mice and then evaluated in vivo and cellular metabolic pathways involved in glucose and lipid metabolism following feeding of chronic high-fat diet (HFD). We found that VAT removal prevented HFD-induced insulin resistance and markedly increased AKT-mediated insulin signaling in subcutaneous adipose tissue (SAT), liver, and skeletal muscle. VAT removal improved plasma lipid profiling and prevented obesity-induced NAFLD. In addition, VAT removal significantly increased circulating level of adiponectin, a key insulin-sensitizing adipokine, whereas it decreased interleukin-6, a pro-inflammatory adipokine. Data obtained from RNA-sequencing suggest that VAT removal prevents obesity-induced oxidative stress and inflammation in liver and SAT respectively. These findings demonstrate the causative role of VAT in the development of obesity and related systemic metabolic complications, such as insulin resistance, dyslipidemia, and NAFLD.

GEO Accession ID: GSE157798

PMID: 33869980

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

Signatures:

Select conditions:

Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method:
Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.