Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Methylation detection Oligonucleotide Microarray Analysis: high resolution method for CpG island methylation detection 1

ABSTRACT: Methylation of CpG islands associated with genes can affect the expression of the proximal gene, and methylation of non associated CpG islands correlates to genomic instability. This epigenetic modification has been shown to be important in many pathologies, from development and disease to cancer. We report the development of a novel high-resolution microarray that detects the methylation status of over 25,000 CpG islands in the human genome. Experiments were performed to demonstrate low system noise in the methodology and that the array probes have a high signal to noise ratio. Methylation measurements between different cell lines were validated demonstrating the accuracy of measurement. We then identified alterations in CpG islands, both those associated with gene promoters, as well as non-promoter associated islands in a set of breast and ovarian tumors. We demonstrate that this methodology accurately identifies methylation profiles in cancer and in principle it can differentiate any CpG methylation alterations and can be adapted to analyze other species.

ORGANISM(S): Homo sapiens

PROVIDER: GSE15746 | GEO | 2009/04/28

SECONDARY ACCESSION(S): PRJNA123031

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Methylation detection Oligonucleotide Microarray Analysis: high resolution method for CpG island methylation detection 2

2009-04-28 | GSE15747 | GEO

Methylation detection Oligonucleotide Microarray Analysis: high resolution method for CpG island methylation detection 2

Project description:Methylation of CpG islands associated with genes can affect the expression of the proximal gene, and methylation of non associated CpG islands correlates to genomic instability. This epigenetic modification has been shown to be important in many pathologies, from development and disease to cancer. We report the development of a novel high-resolution microarray that detects the methylation status of over 25,000 CpG islands in the human genome. Experiments were performed to demonstrate low system noise in the methodology and that the array probes have a high signal to noise ratio. Methylation measurements between different cell lines were validated demonstrating the accuracy of measurement. We then identified alterations in CpG islands, both those associated with gene promoters, as well as non-promoter associated islands in a set of breast and ovarian tumors. We demonstrate that this methodology accurately identifies methylation profiles in cancer and in principle it can differentiate any CpG methylation alterations and can be adapted to analyze other species. We have developed a method to profile genome wide methylation. 7 ovarian normal samples and 11 tumor samples from other individuals were analyzed for CpG methylation. After inter array normalization, the tumor samples were taken together and the methylation compared to that of the normal samples to identify regions of the CpG islands that are significantly altered between the two datasets. Some of these regions were validated for their methylation as a proof of principle for the method.

2010-05-19 | E-GEOD-15747 | biostudies-arrayexpress

Methylation detection Oligonucleotide Microarray Analysis: high resolution method for CpG island methylation detection 1

Project description:Methylation of CpG islands associated with genes can affect the expression of the proximal gene, and methylation of non associated CpG islands correlates to genomic instability. This epigenetic modification has been shown to be important in many pathologies, from development and disease to cancer. We report the development of a novel high-resolution microarray that detects the methylation status of over 25,000 CpG islands in the human genome. Experiments were performed to demonstrate low system noise in the methodology and that the array probes have a high signal to noise ratio. Methylation measurements between different cell lines were validated demonstrating the accuracy of measurement. We then identified alterations in CpG islands, both those associated with gene promoters, as well as non-promoter associated islands in a set of breast and ovarian tumors. We demonstrate that this methodology accurately identifies methylation profiles in cancer and in principle it can differentiate any CpG methylation alterations and can be adapted to analyze other species. We have developed a method to profile genome wide methylation. 12 breast normal samples and matching tumors from these individuals and an additional 28 tumor samples from other individuals were analyzed for CpG methylation. After inter array normalization, the tumor samples were taken together and the methylation compared to that of the normal samples to identify regions of the CpG islands that are significantly altered between the two datasets. Some of these regions were validated for their methylation as a proof of principle for the method.

2009-04-28 | E-GEOD-15746 | biostudies-arrayexpress

Methylation detection Oligonucleotide Microarray Analysis: high resolution method for CpG island methylation detection 3.

Project description:The identification of genetic and epigenetic alterations from primary tumor cells has become a common method to identify genes critical to the development and progression of cancer. We provide a bioinformatic analysis of copy number variation and DNA methylation covering the genetic landscape of ovarian cancer tumor cells. We individually examined the copy number variation and DNA methylation for 44 primary ovarian cancer samples and 7 ovarian normal samples using our MOMA-ROMA technology and Affymetrix expression data as well as 379 tumor samples analyzed by The Cancer Genome Atlas. We have identified 346 genes with significant deletions or amplifications among the tumor samples. Utilizing associated gene expression data we predict 156 genes with significantly altered copy number and correlated changes in expression. We identify changes in DNA methylation and expression for all amplified and deleted genes. We predicted 615 potential oncogenes and tumor suppressors candidates by integrating these multiple genomic and epigenetic data types. We have developed a method to profile genome wide methylation. 7 ovarian normal samples and 44 tumor samples from other individuals were analyzed for CpG methylation. After inter array normalization, the tumor samples were taken together and the methylation compared to that of the normal samples to identify regions of the CpG islands that are significantly altered between the two datasets. Some of these regions were validated for their methylation as a proof of principle for the method. Kamalakaran S., et. al. Mol Oncol. 2011;5:77-92 (PMID: 21169070).

2011-10-16 | E-GEOD-27940 | biostudies-arrayexpress

Histone ubiquitination-methylation crosstalk involving UHRF1 and SUV39H1/2 reinforces heterochromatin states in response to DNA hypomethylation

Project description:Histone H3 mono-ubiquitination, catalyzed by the RING E3 ubiquitin ligase UHRF1, is appreciated as a docking site for DNMT1 during DNA replication to facilitate DNA methylation maintenance. Its functions beyond this are unknown. Here, we identify simultaneous increases in UHRF1-dependent H3K18ub and SUV39H1/2-dependent H3K9me3 as prominent epigenetic alterations accompanying DNA hypomethylation induced by DNMT1 inhibition. Integrative epigenomics analyses reveal that transient accumulation of hemi-methylated DNA, resulting from incomplete DNA methylation maintenance, stimulates UHRF1-dependent H3K18ub at CpG islands that nucleates new domains of H3K9me3 and impedes PRC2 activity in these genomic regions. Notably, H3K18ub enhances the methyltransferase activity of SUV39H1/2, leading to increased H3K9me3 at these CpG island promoters. Blocking H3K18ub-dependent SUV39H1/2 activity enhances the efficacy of DNMT1 inhibitors. Collectively, these findings reveal a novel histone ubiquitination-methylation crosstalk mechanism that reinforces heterochromatin states in the absence of DNA methylation and proposes new strategies for improving cancer epigenetic therapy.

2024-12-02 | PXD049993 | Pride

Detection of aberrant DNA methylation in AML cell lines compared to normal human monocytes

Project description:To globally define methylation-’prone’ and -’protected’ CpG islands in leukemia, we analyzed the methylation status of 23,000 CpG islands of the human genome in two acute leukemia cell lines as well as normal blood monocytes using our previously described methyl-CpG immunoprecipitation (MCIp) technique (Gebhard et al. 2006; Schilling and Rehli 2007). This method enriches for highly CpG methylated DNA that can be directly applied to fluorescent labeling and oligonucleotide microarray hybridization without an additional amplification step. Keywords: MCIp-on-Chip; comparative genomic hybridization

2010-03-31 | GSE17455 | GEO

Detection of aberrant DNA methylation in colorectal carcinoma samples compared to normal human colon

Project description:To globally define methylation-’prone’ and -’protected’ CpG islands in colorectal carcinoma we analyzed the methylation status of 23,000 CpG islands of the human genome in ten coleorectal carcinoma samples as well as normal colon using our previously described methyl-CpG immunoprecipitation (MCIp) technique (Gebhard et al. 2006; Schilling and Rehli 2007). This method enriches for highly CpG methylated DNA that can be directly applied to fluorescent labeling and oligonucleotide microarray hybridization without an additional amplification step. Keywords: MCIp-on-Chip; comparative genomic hybridization

2010-03-31 | GSE17512 | GEO

Detection of aberrant DNA methylation in acute leukemia samples compared to normal human monocytes

Project description:To globally define methylation-’prone’ and -’protected’ CpG islands in leukemia, we analyzed the methylation status of 23,000 CpG islands of the human genome in eight acute leukemia samples as well as normal blood monocytes using our previously described methyl-CpG immunoprecipitation (MCIp) technique (Gebhard et al. 2006; Schilling and Rehli 2007). This method enriches for highly CpG methylated DNA that can be directly applied to fluorescent labeling and oligonucleotide microarray hybridization without an additional amplification step. Keywords: MCIp-on-Chip; comparative genomic hybridization

2010-03-31 | GSE17510 | GEO

Detection of aberrant DNA methylation in colorectal carcinoma samples compared to normal human colon

Project description:To globally define methylation-âproneâ and -âprotectedâ CpG islands in colorectal carcinoma we analyzed the methylation status of 23,000 CpG islands of the human genome in ten coleorectal carcinoma samples as well as normal colon using our previously described methyl-CpG immunoprecipitation (MCIp) technique (Gebhard et al. 2006; Schilling and Rehli 2007). This method enriches for highly CpG methylated DNA that can be directly applied to fluorescent labeling and oligonucleotide microarray hybridization without an additional amplification step. Keywords: MCIp-on-Chip; comparative genomic hybridization CpG-methylated genomic DNA was enriched using methyl-CpG immunoprecipitation (MCIp). On each microarray, the enriched material from colorectal carcinoma samples was compared to the enriched material from normal colon to identify aberrantly methylated regions.

2010-06-05 | E-GEOD-17512 | biostudies-arrayexpress

Detection of aberrant DNA methylation in acute leukemia samples compared to normal human monocytes

Project description:To globally define methylation-âproneâ and -âprotectedâ CpG islands in leukemia, we analyzed the methylation status of 23,000 CpG islands of the human genome in eight acute leukemia samples as well as normal blood monocytes using our previously described methyl-CpG immunoprecipitation (MCIp) technique (Gebhard et al. 2006; Schilling and Rehli 2007). This method enriches for highly CpG methylated DNA that can be directly applied to fluorescent labeling and oligonucleotide microarray hybridization without an additional amplification step. Keywords: MCIp-on-Chip; comparative genomic hybridization CpG-methylated genomic DNA was enriched using methyl-CpG immunoprecipitation (MCIp). On each microarray, the enriched material from leukemia samples was compared to the enriched material from normal blood monocytes to identify aberrantly methylated regions. Three biological replicates were analysed for each cell line.

2010-06-05 | E-GEOD-17510 | 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