A Prader-Willi locus lncRNA cloud modulates diurnal genes and energy expenditure.
Transcriptomics Dataset
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General Information
AccessionGSE43575
TitleA Prader-Willi locus lncRNA cloud modulates diurnal genes and energy expenditure.
DescriptionPrader-Willi syndrome (PWS), a genetic cause of childhood obesity, is characterized by intellectual disabilities and sleep abnormalities. PWS-causing deletions include a neuronal long, non-coding RNA (lncRNA) processed into small nucleolar RNAs and a spliced lncRNA,116HG. We show that 116HG forms a subnuclear RNA cloud that co-purifies with the transcriptional activator RBBP5 and active metabolic genes, remains tethered to the site of its transcription and increases in size in postnatal neurons. Snord116del mice lacking 116HG exhibited increased energy expenditure corresponding to dysregulation of diurnally expressed Mtor and circadian genes Clock, Cry1, and Per2. Genomic and metabolic analyses demonstrate altered diurnal energy regulation in the Snord116del mouse cortex and link the loss of 116HG to the energy imbalance observed in PWS.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE43575
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

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

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE43575
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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