Nuclear orphan receptor TAK1/TR4-deficient mice are protected against obesity-linked inflammation, hepatic steatosis, and insulin resistance
Transcriptomics Dataset
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General Information
AccessionGSE21903
TitleNuclear orphan receptor TAK1/TR4-deficient mice are protected against obesity-linked inflammation, hepatic steatosis, and insulin resistance
DescriptionThe nuclear receptor TAK1/TR4/NR2C2 is expressed in several tissues that are important in the control of energy homeostasis. TAK1-deficient (TAK1-/-) mice are resistant to the development of age- and high fat diet (HFD)-induced metabolic syndrome. Biochemical analysis showed significantly lower hepatic triglyceride levels and reduced lipid accumulation in adipose tissue in TAK1-/- mice compared to wild type (WT) mice. Gene expression profiling analysis revealed that the expression of several genes encoding proteins involved in lipid uptake and triglyceride synthesis and storage, including Cidea, Cidec, Mogat1, and CD36, was greatly decreased in the liver of TAK1-/- mice. Moreover, TAK1-/- mice exhibit reduced infiltration of inflammatory cells and expression of inflammatory genes in adipose tissue and were resistant to the development of glucose intolerance and insulin resistance. TAK1-/- mice consume more oxygen and produce more carbon dioxide than WT mice suggesting a higher rate of energy expenditure. Together, these results indicate that TAK1 plays a critical role in the regulation of energy and lipid homeostasis and potentiates the development of metabolic syndrome. Our study suggests that TAK1 might provide a novel therapeutic target in the management of metabolic syndrome.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE21903
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Keyword
Dataset Accession
Enrichr
Published May 2016
A comprehensive gene set enrichment analysis web server 2016 update
7759
65
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
GeneMANIA
Published June 2010
Biological network integration for gene prioritization and predicting gene function
7435
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
PAEA
Published November 2015
Enrichment analysis tool implementing the principal angle method
3879
Canned Analyses generated with the dataset
Filters  
Dataset Accession
Tool Name
Direction
Geneset
Small molecules which mimic NR2C2 KO
L1000CDS2, Characteristic Direction
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse NR2C2 KO
L1000CDS2, Characteristic Direction
The L1000 database was queried in order to identify small molecule perturbations which rev...
Enrichment analysis of genes dysregulated in NR2C2 KO
PAEA, Characteristic Direction
An enrichment analysis was performed on the top most dyresgulated genes determined by appl...
Interaction network and enrichment analysis of genes downregulated in NR2C2 KO
GeneMANIA, Characteristic Direction
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes upregulated in NR2C2 KO
GeneMANIA, Characteristic Direction
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Enrichment analysis of genes downregulated in NR2C2 KO
Enrichr, Characteristic Direction
An enrichment analysis was performed on the top 500 most downregulated genes identified by...
Enrichment analysis of genes upregulated in NR2C2 KO
Enrichr, Characteristic Direction
An enrichment analysis was performed on the top 500 most upregulated genes identified by a...
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