Expression profiling by high throughput sequencing of tumors derived from human prostate epithelial cells transformed with the oncogenes N-Myc and myrAKT1.
Transcriptomics Dataset
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General Information
AccessionGSE77624
TitleExpression profiling by high throughput sequencing of tumors derived from human prostate epithelial cells transformed with the oncogenes N-Myc and myrAKT1.
DescriptionMYCN amplification and overexpression are common in neuroendocrine prostate cancer (NEPC). However, the impact of aberrant N-Myc expression in prostate tumorigenesis and the cellular origin of NEPC have not been established. We define N-Myc and activated AKT1 as oncogenic components sufficient to transform human prostate epithelial cells to prostate adenocarcinoma and NEPC including the small cell prostate carcinoma (SCPC) variant with phenotypic and molecular features of aggressive, late-stage human disease. We directly show that prostate adenocarcinoma and NEPC can both arise from a common epithelial clone. Further, N-Myc is required for tumor maintenance and destabilization of N-Myc through Aurora A kinase inhibition reduces tumor burden. Our findings establish N-Myc as a driver of NEPC and a target for therapeutic intervention. Expression profiling by high throughput sequencing of experimentally generated human tumors with mixed NEPC and prostate adenocarcinoma.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE77624
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 GSE77624
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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