Systematic analysis of the pro and anti-inflammatory activation of mouse myeloid cells
Transcriptomics Dataset
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General Information
AccessionGSE55385
TitleSystematic analysis of the pro and anti-inflammatory activation of mouse myeloid cells
DescriptionInflammation is a fundamental physiological process and a key line of defense against pathogen invasion. Inflammation is exquisitely controlled: Too high and inflammation can be dangerous to the organism, but too low and the invading pathogen can escape suppression. Multiple opposing molecules initiate either a pro or anti inflammatory program, of particular interest is the pro-inflammatory bacterial endotoxins and an opposing anti-inflammatory pathway involving IL-10 and STAT3. Much work has been expended in understanding these two pathways in macrophages, key cells in the myeloid system. But other cells of the myeloid system also show a response to endotoxin and IL-10. These myeloid cell types have been less well explored. With the aim to understand similarities and differences amongst myeloid cells we performed RNA-seq analysis on 5 cells from the myeloid system: Macrophages, Neutrophils, splenic dendritic cells, mast cells and eosinophils. We treated the cells with IL-10 or LPS (endotoxin), either separately or in combination. Although the 5 cell types show much similarity in the outcome of the pro inflammatory response, the broad outline of their pro and anti-inflammatory response is highly divergent between the 5 myeloid cell types.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE55385
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 GSE55385
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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