REV-ERB influences stability and nuclear localization of the glucocorticoid receptor
Transcriptomics Dataset
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General Information
AccessionGSE79087
TitleREV-ERB influences stability and nuclear localization of the glucocorticoid receptor
DescriptionWe report here that REV-ERB influences nuclear localization of the glucocorticoid receptor and vice versa. As a consequence these two nuclear receptors influence each others transcriptome. REV-ERB (Nr1d1) is a nuclear receptor that is part of the circadian clock mechanism and regulates metabolism and inflammatory processes. The glucocorticoid receptor (GR,Nr3c1) influences similar processes, but is not part of the circadian clock mechanism although glucocorticoid signaling affects resetting of the circadian clock in peripheral tissues. Because of their similar impact on physiological processes we studied the interplay between these two nuclear receptors. We found thatREV-ERB competes with GR for binding to HSP90, a chaperone responsible for the activation of substrate proteins to ensure survival of a cell. This competition affected stability and nuclear localization of GR, thereby affecting GR target gene expression such asIBand alcohol dehydrogenase1 (Adh1). Our findings highlight an important interplay between two nuclear receptors that influence each others transcritpional potential indicating that the transcriptional landscape is strongly dependent on dynamic processes at the protein level.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE79087
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
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
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE79087
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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