RNA-seq analysis of diabetes induced changes in macrophage transcriptome
Transcriptomics Dataset
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General Information
AccessionGSE54154
TitleRNA-seq analysis of diabetes induced changes in macrophage transcriptome
DescriptionMacrophage dysfunction and polarization plays key role in chronic inflammation associated with diabetes and its complications. However, the effect of diabetes on macrophage transcriptome including long non-coding RNAs is not known. Here, we analyzed global changes in transcriptome of bone marrow macrophages isolated from type 2 diabetic db/db mice and control littermates db/+ mice using high throughput RNA-seq technique. Data analysis showed that expression of genes relevant to fibrosis, cell adhesion and inflammation were altered in diabetic db/db mice relative to control db/+ mice. Furthermore, expression of several known and novel long non coding RNAs and nearby genes was altered in db/db mice. Gene ontology and IPA showed activation of signaling netwroks relevant to fibrosis, cell adhesion and inflammatory pathways . This study for the first time demonstrated that diabetes profoundly affects macrophage transcriptome including expression of long non coding RNAs and altered the levels of genes relevant to diabetes complications.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE54154
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 GSE54154
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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