Integrative analysis identifies targetable CREB1/FoxA1 transcriptional co-regulation as a predictor of prostate cancer recurrence
Transcriptomics Dataset
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General Information
AccessionGSE63034
TitleIntegrative analysis identifies targetable CREB1/FoxA1 transcriptional co-regulation as a predictor of prostate cancer recurrence
DescriptionPurpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this work is comprehensive analysis of target genes co-regulated by CREB1 and FoxA1 in prostate cancer cell models, tissues, and circulating tumor cells (CTCs). Expression of CREB1/FoxA1 target genes corresponds with disease recurrence and aggressive clinical features. Methods: LNCaP cells between passage number 32-34 and abl between 62-64 were used for assay. For RNA-seq, cells are transfected with FoxA1,CREB1 specific or nonspecific siRNA and total RNA is extracted with Qiangen RNeasy Mini kit(cat 74104) and library is generated with TruSeq RNA Sample Preparation Kit v2 from Illumina(cat RS-122-2001). For Chip-seq, LNCaP cells between passage number 32-34 and abl between 62-64 were used for assay. After crosslinking with 1%% formaldehyde, ChIP was performed. the ChIP producted was further used to generate library with illumina ChIP-seq kit. Hi-seq 2500 was used for sequencing and the data was analyzed by MACs for peaks.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE63034
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
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
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE63034
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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