Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

UNCOVERING VULVAR CARCINOMA: AN INTEGRATIVE APPROACH [CGH]

ABSTRACT: Array-based comparative genomic hybridization (array CGH) analyses was used to analyze 17 VSCC samples from untreated patients. The data were validated using quantitative PCR.

ORGANISM(S): Homo sapiens

PROVIDER: GSE86969 | GEO | 2016/09/15

SECONDARY ACCESSION(S): PRJNA343115

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

UNCOVERING VULVAR CARCINOMA: AN INTEGRATIVE APPROACH [GE]

Project description:Array-based genomewide expression (GWE) analyses was used to analyze 17 VSCC samples from untreated patients. The data were validated using relative quantitative PCR.

2016-09-15 | GSE86970 | GEO

UNCOVERING VULVAR CARCINOMA: AN INTEGRATIVE APPROACH

Project description:This SuperSeries is composed of the SubSeries listed below.

2016-09-15 | GSE68409 | GEO

Genomic signatures predict poor outcome in Undifferentiated Pleomorphic Sarcomas and Leiomyosarcomas

Project description:Array-based comparative genomic hybridization (array CGH) analyses was used to analyze 20 UPS and 17 LMS samples from untreated patients. The data were validated using quantitative PCR.

2013-05-20 | GSE45573 | GEO

UNCOVERING VULVAR CARCINOMA: AN INTEGRATIVE APPROACH

Project description:UNCOVERING VULVAR CARCINOMA: AN INTEGRATIVE APPROACH

| PRJNA343113 | ENA

Integrative genomic and transcriptomic characterization of matched primary and metastatic liver and colorectal carcinoma

Project description:Somatic copy number alterations of 17 paired tumor and metastasis tissue samples were measured by Agilent array-based comparative genomic hybridization (CGH). Seven colon adenocarcinomas with paired liver metastasis and 10 liver carcinoma with metastasis to the lymph node, adrenal gland or lung were analyzed.

2015-01-22 | GSE41210 | GEO

Array-CGH analysis of X chromosome of XLMR patient

Project description:Array-CGH analysis of X chromosome of XLMR patient Keywords: comparative genomic hybridization

2008-05-27 | GSE10049 | GEO

Array CGH analysis of Oral Squamous Cell Carcinoma

Project description:Array Comparative Genomic Hybridization (CGH) profiling of Oral Sqaumaous Cell Carcinoma (OSCC) was performed to delineate candidate non-random chromosomal loci associated with clinico-pathological parameters. The array CGH hybridizations were performed for 60 OSCC samples with pooled gender matched controls. All tissue samples were collected after obtaining written informed consent.

2011-03-11 | GSE23831 | GEO

Resolving the resolution of array CGH

Project description:This entry is part of a study comparing various array CGH platforms. In addition to the submitted data the following BT474 profiles were analyzed in this study: GSM69198 , GSM73557 and data from http://research.dfci.harvard.edu/meyersonlab/snp/snp.htm Keywords: Comparitive Genomic Hybridization (CGH) Platform Comparison

2007-02-15 | GSE6415 | GEO

Array comparative genomic hybridization (CGH) analysis of ameloblastoma tumor

Project description:Array comparative genomic hybridization (CGH) analysis of ameloblastoma tumor

| PRJNA548170 | ENA

Cross-Platform Array Comparative Genomic Hybridization (array CGH) Meta-Analysis

Project description:A series of studies have been published that evaluate the chromosomal copy number changes of different tumor classes using array Comparative Genomic Hybridization (array CGH), however the chromosomal aberrations that distinguish the different tumor classes have not been fully characterized. Therefore, we performed a meta-analysis of different array CGH data sets in an attempt to classify samples tested across different platforms. As opposed to RNA expression a common reference is used in dual channel CGH arrays: normal human DNA, theoretically facilitating cross-platform analysis. To this aim, cell line and primary cancer data sets from three different dual channel array CGH platforms obtained by four different institutes were integrated. The cell line data were used to develop preprocessing methods which performed noise reduction and transformed samples into a common format. The transformed array CGH profiles allowed perfect clustering by cell line, but importantly not by platform or institute. The same preprocessing procedures used for the cell line data were applied to data from 373 primary tumors profiled by array CGH, including controls. Results indicated that there is no apparent feature related to the institute or platform and that array CGH allows for unambiguous cross-platform meta-analysis. Major clusters with common tissue origin were identified. Interestingly, tumors of hematopoietic and mesenchymal origins cluster separately from tumors of epithelial origin. Therefore it can be concluded that chromosomal aberrations of tumors from hematopoietic and mesenchymal origin versus tumors of epithelial origin are distinct, and these differences can be picked up by metaanalysis of array CGH data. This suggests the possibility of prospectively using combined analysis of diverse copy number datasets for cancer subtype classification. Keywords: comparative genomic hybridization, meta-analysis, cancer

2006-08-29 | GSE5051 | 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