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Series GSE174662 Query DataSets for GSE174662
Status Public on Sep 15, 2021
Title Dynamic patterns of DNA methylation in the normal prostate epithelial differentiation program are targets of aberrant methylation in prostate cancer [Methyl Capture]
Organism Homo sapiens
Experiment type Methylation profiling by high throughput sequencing
Summary Understanding the epigenetic control of normal differentiation programs might yield principal information about critical regulatory states that are disturbed in cancer. We utilized the established non-malignant HPr1-AR prostate epithelial cell model that upon androgen exposure commits to a luminal cell differentiation trajectory from that of a basal-like state. We profile the dynamic transcriptome associated with this transition at multiple time points (0hr, 1hr, 24hr, 96hr), and confirm that expression patterns are strongly indicative of a progressive basal to luminal cell differentiation program based on human expression signatures. Furthermore, we establish dynamic patterns of DNA methylation associated with this program by use of whole genome bisulfite sequencing (WGBS).
 
Overall design HPr1-AR cells exposed to DHT (10nM) for 0, 1, 24 and 96 hours were analyzed by TruSeq Methyl Capture sequencing. Raw sequencing reads were aligned to the human genome (hg19) and methylation levels called using bismark.
 
Contributor(s) Smiraglia DJ, Long MD
Citation(s) 34075163
Submission date May 18, 2021
Last update date Sep 15, 2021
Contact name Qiang Hu
E-mail(s) Qiang.Hu@RoswellPark.org
Organization name Roswell Park Cancer Institute
Street address Elm & Carlton Streets
City Buffalo
State/province NY
ZIP/Postal code 14263
Country USA
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (4)
GSM5322054 MC HPr1AR_DHT_0hr_R1
GSM5322055 MC HPr1AR_DHT_1hr_R1
GSM5322056 MC HPr1AR_DHT_24hr_R1
Relations
BioProject PRJNA730913
SRA SRP320389

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE174662_MethylCaptureData_ALL.csv.gz 70.7 Mb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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