Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Epigenomic Profiling of Primary Gastric Adenocarcinoma Reveals Super-enhancer Heterogeneity [ChIP-seq]

ABSTRACT: Regulatory elements in cancer remain poorly characterized in primary solid tumors. Here we applied microscale histone modification profiling to delineate the landscape of somatic promoters and super-enhancers in primary gastric adenocarcinoma, analyzing 94 epigenomic profiles of primary tumors, normal tissues, and cell lines

ORGANISM(S): Homo sapiens

PROVIDER: GSE76153 | GEO | 2016/09/28

SECONDARY ACCESSION(S): PRJNA306483

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Epigenomic Profiling of Primary Gastric Adenocarcinoma Reveals Super-enhancer Heterogeneity [SNP]

Project description:Regulatory elements in cancer remain poorly characterized in primary solid tumors. Here we applied microscale histone modification profiling to delineate the landscape of somatic promoters and super-enhancers in primary gastric adenocarcinoma, analyzing 94 epigenomic profiles of primary tumors, normal tissues, and cell lines

2016-09-28 | GSE85466 | GEO

Epigenomic Profiling of Primary Gastric Adenocarcinoma Reveals Super-enhancer Heterogeneity [methylation]

2016-09-28 | GSE85464 | GEO

Epigenomic Profiling of Primary Gastric Adenocarcinoma Reveals Super-enhancer Heterogeneity [RNA-seq]

2016-09-28 | GSE85465 | GEO

Somatic Promoter Landscape of Primary Gastric Adenocarcinoma Delineated by Epigenomic Profiling

Project description:Regulatory elements in cancer remain poorly characterized in primary solid tumors. Here we applied microscale histone modification profiling to delineate the landscape of somatic promoters and enhancers in primary gastric adenocarcinoma, analyzing 94 epigenomic profiles of primary tumors, normal tissues, and cell lines

2016-09-28 | GSE75898 | GEO

Integrative Epigenomic and High-Throughput Functional Enhancer Profiling Reveals Determinants of Enhancer Heterogeneity in Gastric Cancer

Project description:Enhancer variation has been proposed as a major cause of cancer heterogeneity – however, mechanisms driving patient-specific enhancer cartographies remain unclear. Here we applied microscale histone modification profiling to delineate the landscape of enhancers in primary gastric adenocarcinoma, analyzing 132 epigenomic profiles of primary tumors, normal tissues, and cell lines

2021-09-14 | GSE162420 | GEO

Epigenetic analysis of gastric cancer

Project description:Genome-wide DNA methylation profiling of gastric tumors and matched gastric non-malignant samples. The Illumina HumanMethylation27 BeadChip was used to obtain DNA methylation profiles across 27,578 CpGs in 203 gastric tumors and 94 matched non-malignant gastric samples. Bisulphite-converted DNA from the 203 gastric tumors and 94 matched gastric non-malignant samples was hybridized to the Illumina HumanMethylation27 BeadChip.

2012-10-24 | E-GEOD-30601 | biostudies-arrayexpress

Epigenomic Profiling of Primary Gastric Adenocarcinoma Reveals Super-enhancer Heterogeneity

Project description:Epigenomic Profiling of Primary Gastric Adenocarcinoma Reveals Super-enhancer Heterogeneity

| PRJNA338604 | ENA

Epigenetic analysis of gastric cancer

2012-10-24 | GSE30601 | GEO

Epigenomic profiling of primary gastric adenocarcinoma reveals super-enhancer heterogeneity.

Project description:Regulatory enhancer elements in solid tumours remain poorly characterized. Here we apply micro-scale chromatin profiling to survey the distal enhancer landscape of primary gastric adenocarcinoma (GC), a leading cause of global cancer mortality. Integrating 110 epigenomic profiles from primary GCs, normal gastric tissues and cell lines, we highlight 36,973 predicted enhancers and 3,759 predicted super-enhancers respectively. Cell-line-defined super-enhancers can be subclassified by their somatic alteration status into somatic gain, loss and unaltered categories, each displaying distinct epigenetic, transcriptional and pathway enrichments. Somatic gain super-enhancers are associated with complex chromatin interaction profiles, expression patterns correlated with patient outcome and dense co-occupancy of the transcription factors CDX2 and HNF4?. Somatic super-enhancers are also enriched in genetic risk SNPs associated with cancer predisposition. Our results reveal a genome-wide reprogramming of the GC enhancer and super-enhancer landscape during tumorigenesis, contributing to dysregulated local and regional cancer gene expression.

| S-EPMC5052795 | biostudies-literature

A signature predicting poor prognosis in gastric and ovarian cancer represents a coordinated macrophage and stromal-response.

Project description:Genome wide mRNA expression profiling of 94 gastric tumours derived from Australian based cohort was performed. . From this data we identified a cluster of co-expressed genes termed the stromal response cluster which almost perfectly differentiates tumor from its non-malignant gastric tissue and hence can be regarded as a highly tumor-specific gene expression signature. We show that these genes are consistently co-expressed across a range of independent gastric datasets as well as other cancer types suggesting a conserved functional role in cancer. Profiling of 94 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Plus 2.0 Arrays. All tumors were collected with approvals from Peter MacCallum Cancer Center, Australia; the Research Ethics Review Committee; and signed informed patient consent.

2014-04-01 | E-GEOD-51105 | 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