GEO DataSets

(Submitter supplied) Effects of sulforaphane and 3,3’-diindolylmethane on genome-wide promoter methylation in normal prostate epithelial cells and prostate cancer cells This study was undertaken to determine the genome-wide effects of sulforaphane (SFN) and 3,3’-diindolylmethane (DIM) on promoter methylation in normal prostate epithelial cells and prostate cancer cells. Nimblegen Human DNA Methylation 3x720K CpG Island Plus RefSeq Promoter Array was used in this study. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL17148

27 Samples

Download data: GFF, PAIR

(Submitter supplied) Epidemiological studies provide strong evidence that consumption of cruciferous vegetables, such as broccoli, can significantly reduce the risk of developing cancers. Sulforaphane (SFN), a phytochemical derived from cruciferous vegetables, induces anti-proliferative and pro-apoptotic responses in prostate cancer cells, but not in normal prostate cells. The mechanisms responsible for these specific chemopreventive properties remain unclear. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

36 Samples

Download data: TXT

(Submitter supplied) Beginning with precursor lesions, aberrant DNA methylation marks the entire spectrum of prostate cancer progression. We mapped the global DNA methylation patterns in selected prostate tissues and cell lines using Methylplex-Next Generation Sequencing (M-NGS). Hidden Markov Model based next generation sequence analysis identified ~68,000 methylated regions per sample. While global CpG Island (CGI) methylation was not differential between benign adjacent and cancer samples, overall promoter CGI methylation increased from ~12.6% in benign samples to 19.3% and 21.8% in localized and metastatic cancer tissues, respectively. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL9115 GPL9052

11 Samples

Download data: BAM

(Submitter supplied) Beginning with precursor lesions, aberrant DNA methylation marks the entire spectrum of prostate cancer progression. We mapped the global DNA methylation patterns in selected prostate tissues and cell lines using Methylplex-Next Generation Sequencing (M-NGS). Hidden Markov Model based next generation sequence analysis identified ~68,000 methylated regions per sample. While global CpG Island (CGI) methylation was not differential between benign adjacent and cancer samples, overall promoter CGI methylation increased from ~12.6% in benign samples to 19.3% and 21.8% in localized and metastatic cancer tissues, respectively. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Methylation profiling by genome tiling array; Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing

4 related Platforms

39 Samples

Download data: BAM, TXT

(Submitter supplied) Beginning with precursor lesions, aberrant DNA methylation marks the entire spectrum of prostate cancer progression. We mapped the global DNA methylation patterns in prostate tissues (n=17) and cells (n=2) from fifty nanograms of genomic DNA using Methylplex-Next Generation Sequencing (M-NGS). A Hidden Markov Model (HMM)-based algorithm previously used for Chip-Seq data analysis(http://www.sph.umich.edu/csg/qin/HPeak) was used to locate peaks from mapped reads obtained in each sequencing run. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL9115

9 Samples

Download data: TXT

(Submitter supplied) Beginning with precursor lesions, aberrant DNA methylation marks the entire spectrum of prostate cancer progression. We mapped the global DNA methylation patterns in selected prostate tissues and cell lines using Methylplex-Next Generation Sequencing (M-NGS). Hidden Markov Model based next generation sequence analysis identified ~68,000 methylated regions per sample. While global CpG Island (CGI) methylation was not differential between benign adjacent and cancer samples, overall promoter CGI methylation increased from ~12.6% in benign samples to 19.3% and 21.8% in localized and metastatic cancer tissues, respectively. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL4126

2 Samples

Download data: TXT

(Submitter supplied) Beginning with precursor lesions, aberrant DNA methylation marks the entire spectrum of prostate cancer progression. We mapped the global DNA methylation patterns in selected prostate tissues and cell lines using Methylplex-Next Generation Sequencing (M-NGS). Hidden Markov Model based next generation sequence analysis identified ~68,000 methylated regions per sample. While global CpG Island (CGI) methylation was not differential between benign adjacent and cancer samples, overall promoter CGI methylation increased from ~12.6% in benign samples to 19.3% and 21.8% in localized and metastatic cancer tissues, respectively. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

13 Samples

Download data: TXT

(Submitter supplied) Beginning with precursor lesions, aberrant DNA methylation marks the entire spectrum of prostate cancer progression. We mapped the global DNA methylation patterns in selected prostate tissues and cell lines using Methylplex-Next Generation Sequencing (M-NGS). Hidden Markov Model based next generation sequence analysis identified ~68,000 methylated regions per sample. While global CpG Island (CGI) methylation was not differential between benign adjacent and cancer samples, overall promoter CGI methylation increased from ~12.6% in benign samples to 19.3% and 21.8% in localized and metastatic cancer tissues, respectively. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

4 Samples

Download data: TXT

(Submitter supplied) Two prostate immortalized cell lines, 267B1, RWPE-1, Ml-csv40, and five prostate cancer cell lines, PC3, PC3M, PC3M-Pro4, PC3M-LN4 and LNCaP are included in this experiment. Their methylation profile are detected using human promoter array (v11). mRNA expression level are profiled with Affymetrix U133A Arrays for 267B1 and PC3M. Keywords: other

Organism:

Homo sapiens

Type:

Expression profiling by array; Methylation profiling by array

Platforms:

GPL864 GPL80 GPL96

14 Samples

Download data

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing

Platform:

GPL17021

24 Samples

Download data: COV, TXT

(Submitter supplied) The glucosinolate-derived phenethyl isothiocyanate (PEITC) has been widely reported to reduce the risk of prostate cancer by modulating multiple biologically relevant activities. Emerging evidence suggests that PEITC may exert its anti-cancer effects through epigenetic mechanisms including alterations of DNA methylation. The purpose of this study was to examine the effects of PEITC on prostate carcinogenesis in a murine prostate cancer model (TRAMP). more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL17021

12 Samples

Download data: COV

(Submitter supplied) The glucosinolate-derived phenethyl isothiocyanate (PEITC) has been widely reported to reduce the risk of prostate cancer by modulating multiple biologically relevant activities. Emerging evidence suggests that PEITC may exert its anti-cancer effects through epigenetic mechanisms including alterations of DNA methylation. The purpose of this study was to examine the effects of PEITC on prostate carcinogenesis in a murine prostate cancer model (TRAMP). more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

12 Samples

Download data: TXT

(Submitter supplied) Two established cell lines, LNCaP and DU145 and two primary prostate cancer cell lines, PCSC1-2 were invaded toward a stem cell media through Matrigel. DNA was isolated from Non-invasive cells and invasive cells.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

4 related Platforms

16 Samples

Download data: TXT

(Submitter supplied) The insulin-like growth factor-I (IGF-IR) and androgen (AR) receptors are important players in prostate cancer biology. Functional interactions between the IGF-I and androgen signaling pathways seem to have crucial roles in the progression of prostate cancer from early (benign) to advanced (metastatic) stages. DNA methylation is a major epigenetic alteration affecting gene expression. Hypermethylation of tumor suppressor promoters is a frequent event in human cancer, leading to inactivation and repression of specific genes. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

12 Samples

Download data: CEL

(Submitter supplied) Background: Despite the significant global loss of DNA hydroxymethylation marks in prostate cancer tissues, the locus-specific role of hydroxymethylation in prostate tumorigenesis is unknown. We characterized hydroxymethylation and methylation marks by performing whole-genome next generation sequencing in representative normal and prostate cancer-derived cell lines in order to determine functional pathways and key genes regulated by these epigenomic modifications in cancer. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platforms:

GPL16791 GPL11154

14 Samples

Download data: TXT

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL18573

4 Samples

Download data: CSV

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL18573

4 Samples

Download data: CSV

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

16 Samples

Download data: CSV