Transcriptome profiling of omental adipose tissues in human obesity by RNA-Seq
Transcriptomics Dataset
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General Information
AccessionGSE55008
TitleTranscriptome profiling of omental adipose tissues in human obesity by RNA-Seq
DescriptionPurpose: To profile the transcriptomes of omental adipose tissues from obese and lean humans. Methods: Omental adipose tissues from obese and lean patients were subjected to RNA-Seq. Results: Differential expression analysis identified 206 dysregulated genes (p-value < 0.05 by moderated t-test and fold change 2 in obesity) that are known to be involved in a multitude of functions, including response to stress, inflammatory response and leukocyte adhesion. Differential splicing analysis uncovered the possible role of TLR4 RNA splicing in obesity. Our findings suggest that, as a person experiences weight gain/obesity, the adipose splicing pattern of TLR4 transcripts changes in favor of activation of TLR4 signaling, which in turn may contribute to the progression of obesity-related inflammation and complications. Conclusion: This study provides a look into the transcriptome of disease-state adipose tissue in obesity, and demonstrates the potential importance of aberrant RNA splicing and expression in obesity-associated immune dysregulation.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE55008
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 GSE55008
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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