Differential gene expression by suppression of either SOX2 or TP63 in KYSE70 human esophageal squamous carcinoma cell line.
Transcriptomics Dataset
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General Information
AccessionGSE47058
TitleDifferential gene expression by suppression of either SOX2 or TP63 in KYSE70 human esophageal squamous carcinoma cell line.
DescriptionSOX2 is a transcription factor essential for pluripotent stem cells, and development and maintenance of squamous epithelium. We previously reported SOX2 an oncogene subject to highly recurrent genomic amplification in squamous cell carcinomas (SCCs)1. Here we demonstrate in SCCs that SOX2 interacts with another master squamous transcription factor p63, and through ChIP-seq show that genomic occupancy of SOX2 overlaps with that of p63 at a large number of loci and that they cooperatively regulate gene expression including ETV4, which we find essential for SOX2-amplified SCC cell survival. Furthermore, SOX2 binds to distinct genomic loci in SCCs than in embryonic stem cells and the SOX2-p63 coordinate binding is unique to SCC. In addition, a subset of SOX2 genomic binding sites in SCC that lack p63 co-occupancy are co-occupied by the AP-1 transcriptional complex. These demonstrate that SOX2s actions in SCC differ substantially from its role in pluripotency and identify novel SOX2 interactions that will enable deeper characterization of SOX2s function in SCC.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE47058
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 GSE47058
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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