mRNA differential expression analysis in a human ex vivo model of chronic wounds
Transcriptomics Dataset
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General Information
AccessionGSE49159
TitlemRNA differential expression analysis in a human ex vivo model of chronic wounds
DescriptionTo study the fibroblast to myofibroblast differentiation in a normal or pathological situation, NHDF (Normal human dermal fibroblast) obtained from two different healthy donors (donors A and B) were either left untreated (T-E-) either treated with TGF-beta alone (T+E-), or with exudate from chronic wounds (T-E+) or both (T+E+). For each different treatment we performed mRNA deep sequencing 3 times : twice with cells from donor A and once with cells from donor B.We focused our study on gene expression profile as a representation of cell fate. We performed mRNA deep sequencing analysis of the 4 different conditions. For each condition, mRNA deep sequencing was performed 3 times : twice with cells from donor A and once with cells from donor B.Comparing the mRNA abundance between the different treatments, we identified 3 lists of genes characterizing the different gene expression states: 171 genes in List I representing the genes differentially expressed during normal fibroblast to myofibroblast differentiation, 409 genes in List II representing the genes differentially expressed upon exudate-only treatment and 1006 genes in List III representing the genes differentially expressed upon the combination of exudate and TGF-beta treatments.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE49159
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
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE49159
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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