Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma

ABSTRACT: Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma

PROVIDER: PRJNA629352 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11647700_1.fastq.gz	Fastqsanger.gz
	SRR11647700_2.fastq.gz	Fastqsanger.gz
	SRR11647701_1.fastq.gz	Fastqsanger.gz
	SRR11647701_2.fastq.gz	Fastqsanger.gz
	SRR11647702_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 114

Similar Datasets

Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma (WGBS)

Project description:Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma (WGBS)

| PRJNA629359 | ENA

Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma [ChIP-seq]

Project description:Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma [ChIP-seq]

| PRJNA637386 | ENA

Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma (RNA-Seq)

Project description:Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma (RNA-Seq)

| PRJNA629358 | ENA

Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma (WGBS)

Project description:Purpose: Epigenetic landscapes can shape physiologic and disease phenotypes. We used whole genome bisulfite sequencing, RNAseq, and ChIP-seq technologies to understand the methylome profiling, gene expression and regulation via epigenetic alterations on esophageal sequamouse carcinoma comparing to adjacent non-tumor tissues.

2020-04-30 | GSE149608 | GEO

Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma [ChIP-seq]

2020-06-05 | GSE151838 | GEO

Multi-omics analysis reveals divergent epigenetic regulation of gene expression and drivers of esophageal squamous cell carcinoma (RNA-Seq)

2020-04-30 | GSE149609 | GEO

Gene expression in normal and tumoral esophageal squamous cell lines

Project description:This study was designed to identify genes aberrantly expressed in esophageal squamous cell carcinoma (ESCC) cells. Three esophageal squamous cell carcinoma-derived cell lines and one normal human esophageal squamous cell line were analyzed.

2014-09-20 | E-GEOD-61587 | biostudies-arrayexpress

Gene expression profiles of esophageal squamous cell carcinoma cell lines

Project description:Profiles of esophageal squamous cell carcinoma and normal esophageal normal epithelium normal cell line. Analysis provides validation of novel microRNA targets prediction algorithms. esophageal squamous cell carcinoma:14, normal epithelium cell:2

2016-09-01 | E-GEOD-23964 | biostudies-arrayexpress

Gene expression profiling of Barrett's esophagus, adenocarcinoma, esophageal squamous epithelium and squamous cell carcinoma

Project description:The aim of this study is to generate and validate biomarkers to stratify patients with Barrett’s esophagus in terms of risk for developing cancer. We studied gene expression profiling in 69 frozen specimens, consisting of esophageal squamous epithelium from 19 healthy subjects, 20 specimens from patients with Barrett’s esophagus and 21 cases of esophageal adenocarcinoma, 9 cased of esophageal squamous cell carcinoma by whole genome microarray analysis. Laser capture microdissection technique was applied to procure cells from defined regions of Barrett’s esophagus metaplasia and esophageal adenocarcinoma. Microarray results were validated by quantitative real-time polymerase chain reaction (qRT-PCR) in an independent cohort consisting of 42 cases. Furthermore, immunohistochemistry was performed using antibodies to two selected target molecules on a third independent cohort of 36 specimens, consisting of 36 cases. A total of 1176 genes were associated significantly with esophageal adenocarcinoma. The expression pattern of a 4 gene signature with the highest discriminant score based on linear discriminant analysis (GeneSpring GX10.2), was identified and validated by qRT-PCR in independent cohort. Gene expression profiling of 20 specimens of Barrett's esophagus patients, 21 specimens of adenocarcinoma patients and 19 biopsies from patients with normal esophageal squamous epithelium, 9 specimens of squamous cell carcinoma were studied.

2011-10-31 | E-GEOD-26886 | biostudies-arrayexpress

Human Esophageal cells: Normal epithelial vs squamous cancer cell line

Project description:Micro RNA expression profiling of human esophageal normal epithelial (hESO) cells comparing two human esophageal squamous cancer cell lines (TE7 and TE10).

2015-08-06 | GSE67016 | GEO

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