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.
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GROUP CONDITION SAMPLES
Muscle
GSM4508496 GSM4508497 GSM4508498 GSM4508499 GSM4508500 GSM4508501
GSM4508502 GSM4508503 GSM4508504 GSM4508505 GSM4508506 GSM4508507
Description

Submission Date: Apr 30, 2020

Summary: Skeletal muscle insulin resistance is a prominent early feature in the pathogenesis of type 2 diabetes (T2D). In attempt to overcome this defect, we generated mice overexpressing insulin receptors (IR) specifically in skeletal muscle (IRMOE). On normal chow, IRMOE mice have similar body weight as controls, but an increase in lean mass and glycolytic muscle fibers and reduced fat mass. IRMOE mice also show higher basal phosphorylation of IR, IRS-1 and Akt in muscle and improved glucose tolerance compared to controls. When challenged with high fat diet (HFD), IRMOE mice are protected from diet-induced obesity. This is associated with reduced inflammation in fat and liver, improved glucose tolerance and improved systemic insulin sensitivity. Surprisingly, however, in both chow and HFD-fed mice, insulin stimulated Akt phosphorylation is significantly reduced in muscle of IRMOE mice, indicating post-receptor insulin resistance. RNA sequencing reveals downregulation of several post-receptor signaling proteins that contribute to this resistance. Thus, enhancing early insulin signaling in muscle by overexpression of the insulin receptor protects mice from diet-induced obesity and its effects on glucose metabolism. However, chronic overstimulation of this pathway leads to post-receptor desensitization, indicating the critical balance between normal signaling and hyperstimulation of the insulin signaling pathway.

GEO Accession ID: GSE149662

PMID: 32868340

Description

Submission Date: Apr 30, 2020

Summary: Skeletal muscle insulin resistance is a prominent early feature in the pathogenesis of type 2 diabetes (T2D). In attempt to overcome this defect, we generated mice overexpressing insulin receptors (IR) specifically in skeletal muscle (IRMOE). On normal chow, IRMOE mice have similar body weight as controls, but an increase in lean mass and glycolytic muscle fibers and reduced fat mass. IRMOE mice also show higher basal phosphorylation of IR, IRS-1 and Akt in muscle and improved glucose tolerance compared to controls. When challenged with high fat diet (HFD), IRMOE mice are protected from diet-induced obesity. This is associated with reduced inflammation in fat and liver, improved glucose tolerance and improved systemic insulin sensitivity. Surprisingly, however, in both chow and HFD-fed mice, insulin stimulated Akt phosphorylation is significantly reduced in muscle of IRMOE mice, indicating post-receptor insulin resistance. RNA sequencing reveals downregulation of several post-receptor signaling proteins that contribute to this resistance. Thus, enhancing early insulin signaling in muscle by overexpression of the insulin receptor protects mice from diet-induced obesity and its effects on glucose metabolism. However, chronic overstimulation of this pathway leads to post-receptor desensitization, indicating the critical balance between normal signaling and hyperstimulation of the insulin signaling pathway.

GEO Accession ID: GSE149662

PMID: 32868340

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:

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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.
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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.