A bioinformatics approach reveals novel mechanisms of the OVOL transcription factors in the regulation of epithelial-mesenchymal cell programming and cancer progression.
Transcriptomics Dataset
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General Information
AccessionGSE51975
TitleA bioinformatics approach reveals novel mechanisms of the OVOL transcription factors in the regulation of epithelial-mesenchymal cell programming and cancer progression.
DescriptionWe find significant evidence of the OVOL, AP1, STAT1, STAT3, and NFKB1 TFs having important roles in MET. We prioritize known gene/drug targets for follow-up in the clinic, and show that the AP1/MYC TF pair is a strong candidate for intervention.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51975
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 GSE51975
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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