Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state.
Transcriptomics Dataset
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General Information
AccessionGSE60664
TitleDecoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state.
DescriptionUnderstanding the molecular processes underlying intra-tumor heterogeneity is of critical importance to improve the efficiency of therapy and overcome drug resistance. In malignant melanoma, heterogeneity is though to arise -at least partly- through epigenetic rather than genetic reprogramming of proliferating cells, leading to the appearance within the primary tumors of a phenotypically distinct invasive cell subpopulation. The invasive melanoma cells are at the origin of metastatic spread and are thought to provide a reservoir of therapeutically resistant cells. To decipher the gene regulatory networks that underlie the proliferative and invasive cellular states we integrated publicly available gene expression and DNA methylation data from tumor biopsies with a newly generated compendium of open chromatin and histone modification profiling of melanoma cultures that are dominant in either of the two subpopulations. Extensive in silico analyses identified SOX10 and MITF, and AP-1 and TEADs as key upstream regulators of the proliferative and invasive transcriptomes, respectively. Knock-down experiments confirmed the implication of TEADs in the invasive gene network and, more importantly, established a causative link between activation of these transcription factors and melanoma cell invasion and sensitivity to MAPK inhibitors.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60664
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 GSE60664
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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