GEO DataSets

(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) In order to identify methylation changes in prostate cancer, we performed a genome-wide analysis of DNA methylation using Agilent human CpG island arrays. We then chose specific genes to validate methylation both in the same cases as were hybridized to the array (using quantitative EpiTYPER analysis) and in an independent series of prostate cancer samples (using MethyLight quantitative methylation specific PCR). more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL4126

20 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) Genome wide DNA methylation profiling of normal and tumor prostate samples, as well as cultured primary prostate cells overexpressing DNA Methyltransferases (DNMTs) and EZH2 Candidate gene based studies have identified a handful of aberrant CpG DNA methylation events in prostate cancer. However, DNA methylation profiles have not been compared on a large scale between prostate tumor and normal prostate, and the mechanisms behind these alterations are unknown. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL8490

193 Samples

Download data: TXT

(Submitter supplied) Instructive mechanisms are present for induction of DNA methylation, as shown by methylation of specific CpG islands (CGIs) by specific inducers and in specific cancers. However, instructive factors involved are poorly understood, except for involvement of low transcription and trimethylation of histone H3 lysine 27 (H3K27me3). Here, we used methylated DNA immunoprecipitation (MeDIP) combined with a CGI oligonucleotide microarray analysis, and identified 5510 and 521 genes with promoter CGIs resistant and susceptible, respectively, to DNA methylation in prostate cancer cell lines. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array; Genome binding/occupancy profiling by genome tiling array; Expression profiling by array

Platforms:

GPL4126 GPL570

21 Samples

Download data: CEL, TXT

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

Organism:

Mus musculus

Type:

Expression profiling by array; Methylation profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL6887 GPL9185

28 Samples

Download data: BEDGRAPH

(Submitter supplied) Human and mouse genomes contain a similar number of CpG islands (CGIs), which are discrete CpG-rich DNA sequences associated with transcription start sites. In both species, about 50% of all CGIs are remote from annotated promoters, but nevertheless often have promoter-like features. To document the role of CGI methylation in cell differentiation, we analysed DNA methylation at a comprehensive CGI set in cells of the mouse hematopoietic lineage. more...

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing

Platform:

GPL9185

10 Samples

Download data: BEDGRAPH

(Submitter supplied) Human and mouse genomes contain a similar number of CpG islands (CGIs), which are discrete CpG-rich DNA sequences associated with transcription start sites. In both species, about 50% of all CGIs are remote from annotated promoters, but nevertheless often have promoter-like features. To document the role of CGI methylation in cell differentiation, we analysed DNA methylation at a comprehensive CGI set in cells of the mouse hematopoietic lineage. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6887

18 Samples

Download data: TXT

(Submitter supplied) The goal of the experiment – genome-wide profiling of DNA methylation reveals a class of normally methylated CpG island promoters Keywords: DNA methylation, Methylated CpG island amplification coupled with promoter arrays, normal tissue

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

4 related Platforms

4 Samples

Download data

(Submitter supplied) The primary goal of this study was to assess differences in gene expression between prostate cancer cell lines and normal prostate epithelial and stromal cells in primary culture.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

9 Samples

Download data: CEL, CHP

(Submitter supplied) Microarray-based DNA methylation and gene expression profiling was carried out using a panel of prostate cancer cell lines (LNCaP-FGC, DU-145, and PC-3) and the control normal prostate RWPE1 cell line. The identification of prostate cancer-specific methylation markers was based on the following criteria: a difference in DNA methylation level (β) of at least 0.5, and at least a 2-fold difference in expression level between cancer and control cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Methylation profiling by array

Platforms:

GPL8490 GPL6947

8 Samples

Download data: TXT

(Submitter supplied) Here we provided the first single-base resolution DNA methylatome in chicken lungs by whole-genome bisulfite sequencing (MethylC-seq). In addition, two genetically distinct highly inbred chicken lines, Leghorn and Fayoumi, were used to examine how DNA methylation regulates mRNA gene expression between two lines. The methylation profile demonstrated that methylcytosines in the chicken were more likely to occur in CG dinucleotides than in non-CG sites. more...

Organism:

Gallus gallus

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL9385

2 Samples

Download data: TXT

(Submitter supplied) BACKGROUND: Promoter hypermethylation coupled with loss of heterozygosity at the same locus results in loss of gene function in many tumor cells. The "rules" governing which genes are methylated during the pathogenesis of individual cancers, how specific methylation profiles are initially established, or what determines tumor type-specific methylation are unknown. However, DNA methylation markers that are highly specific and sensitive for common tumors would be useful for the early detection of cancer, and those required for the malignant phenotype would identify pathways important as therapeutic targets. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

7 Samples

Download data: CEL

(Submitter supplied) Abstract Background: Promoter hypermethylation coupled with loss of heterozygosity at the same locus results in loss of gene function in many tumor cells. The “rules” governing which genes are methylated during the pathogenesis of individual cancers, how specific methylation profiles are initially established, or what determines tumor-type specific methylation are unknown. However, DNA methylation markers that are highly specific and sensitive for common tumors would be useful for the early detection of cancer, and those required for the malignant phenotype identify pathways important as therapeutic targets. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

42 Samples

Download data: CEL