Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MeDIP and ChIP-on-chip data from normal Prostate epithelial cells (PrEC) and the LNCaP cancer cell line

ABSTRACT: To identify genomic regions which display concordant epigenetics alterations in prostate cancer, we performed MeDIP and ChIP-on-chip profiling of normal prostate epithelial cells (PrEC) and the prostate cancer cell line LNCaP. These promoter arrays were integrated with expression arrays of the same cells to discover and characterise regions of Long Range Epigenetic Silencing (LRES) in prostate cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE19600 | GEO | 2010/01/04

SECONDARY ACCESSION(S): PRJNA123969

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression data from normal Prostate epithelial cells (PrEC) and the LNCaP cancer cell line

Project description:To identify genomic regions which display concordant gene expression in prostate cancer, we performed expression profiling of normal prostate epithelial cells (PrEC) and the prostate cancer cell line LNCaP. These expression arrays were integrated ChIP-on-chip studies of active and repressive epigenetic marks in same cells to discover and characterise regions of Long Range Epigenetic Silencing (LRES) in prostate cancer.

2010-01-04 | GSE19725 | GEO

MeDIP-Chip of PrEC, LnCAP, and PC3 cells treated with vehicle control, sulforaphane, or 3,3’-diindolylmethane

Project description: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. We hypothesize that both SFN and DIM are effective dietary modulators of DNA methylation due to their inhibitory effects on DNMT expression, and that SFN and DIM can differentially affect the promoter methylation profiles in normal and cancerous prostate epithelial cells. Normal prostate epithelial cells (PrEC), androgen-dependent prostate cancer epithelial cells (LnCAP) and androgen-independent prostate cancer epithelial cells (PC3) were treated with vehicle control, 15uM SFN, or 15uM DIM for 48h in triplicates

2014-01-01 | E-GEOD-47017 | biostudies-arrayexpress

MeDIP-Chip of PrEC, LnCAP, and PC3 cells treated with vehicle control, sulforaphane, or 3,3’-diindolylmethane

2014-01-01 | GSE47017 | GEO

miRNA expression profiling of Prostate Epithelial Cells (PrEc) with ESE3 knock-down

Project description:Investigation of miRNA expression profiles of Prostate Epithelial Cells (PrEc) with ESE3 knock-down

2017-12-31 | GSE59934 | GEO

Transcriptome profiling of Normal and Cancerous Prostate Cells [expression array]

Project description:To identify aberrant non coding gene expression in prostate cancer, we performed expression profiling of normal prostate epithelial cells (PrEC) and the prostate cancer cell line LNCaP using Affymetrix HuGene 2.0 ST expression arrays. These expression arrays were validated by expression qPCR of selected genes.

2018-09-01 | GSE61790 | GEO

Bisulphite sequencing of native LNCaP and PrEC DNA [methylation array]

Project description:As a reference dataset to compare BisChIP-seq and other methylated DNA capture experiments against, we have collected Illumina 450k to profile CpG methylation status on native DNA. Illumina 450k array for LNCaP and PrEC cell lines

2012-01-18 | E-GEOD-34340 | biostudies-arrayexpress

Transcriptome profiling of Normal and Cancerous Prostate Cells using Affymetrix Human Transcriptome Array 2.0

Project description:To identify aberrant expression of transcripts in prostate cancer, we performed global gene and transcript expression profiling of normal prostate epithelial cells (PrEC) and the prostate cancer cell line LNCaP using Affymetrix Human Transcriptome 2.0 expression arrays.

2018-09-01 | GSE62497 | GEO

Agilent expression analysis of LNCaP cells following 5'aza-treatment

Project description: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. We found distinct patterns of promoter methylation around transcription start sites, where methylation occurred not only on the CGIs, but also on flanking regions and CGI sparse promoters. Among the 6,691 methylated promoters in prostate tissues, 2481 differentially methylated regions (DMRs) are cancer specific, including numerous novel DMRs. A novel cancer specific DMR in WFDC2 promoter showed heavy methylation in cancer (17/22 tissues, 6/6 cell lines), but not in the benign tissues (0/10) and normal PrEC cells. Integration of LNCaP DNA methylation and H3K4me3 data suggested an epigenetic mechanism for alternate transcription start site utilization and these modifications segregated into distinct regions when present on the same promoter. Finally, we observed differences in repeat element methylation, particularly LINE-1, between ERG gene fusion positive and negative cancers. This comprehensive methylome map will further our understanding of epigenetic regulation in prostate cancer progression. In this data, genes methylated in LNCaP and significantly overexpressed after 5'Azacytidine treatment of LNCaP cells are assessed by Agilent gene expression microarray as a validation for gene repression mechanism due to methylation change.

2010-11-15 | GSE25346 | GEO

DNA methylation analysis of normal and cancer cells

Project description:DNA methylation of prostatic normal cells (PrEC), normal mammary epithelial cells (HMEC), prostate cancer cell line (MDA-PCa-2b), and breast cancer cell lines (BT474 and MDA-MB-231) was analyzed by MeDIP-on-chip analysis. DNA obtained from each cells was immunoprecipitated by anti 5-methylcytidine antibody. IP DNA and input DNA were labeled with Cy5 and Cy3, respectively, and then analyzed by using human CpG island microarray provided by Agilent Technologies.

2011-06-06 | E-GEOD-28284 | biostudies-arrayexpress

Patterns of aberrant DNA methylation after toxicant-induced malignant transformation (MeDIP-chip dataset 1)

Project description:Aberrant DNA methylation is frequently observed in cancer. The aim of this study was to determine how DNA methylation is changed after toxicant-induced malignant transformation. This study also puts the DNA methylation changes into context with respect to the aberrant DNA methylation events that occur in bladder and prostate carcinogenesis not associated with toxicant exposure. Immortalized UROtsa (n=3) and RWPE-1 (n=2) are compared to normal HUC (n=2) and PrEC (n=2), respectively. Arsenite (n=1), monomethylarsonous acid (n=2) or cadmium (n=1) transformed UROtsa are compared to parental UROtsa (n=3). Arsenite (n=2), cadmium (n=1) or MNU (n=1) transformed RWPE-1 cells are compared to parental RWPE-1 cells (n=2). Clinical bladder tumor biopsies (n=6), urothelial carcinoma cell lines (n=2) and prostate cancer cell lines (n=3) are compared to thier normal tissue counterparts HUC (n=2) and PrEC (n=2). Immunoprecipitation using anti-methylcytosine (5MeC) antibody.

2012-06-25 | E-GEOD-38926 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data