Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

46 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression analysis of 789 cancer cell lines using the Affymetrix HT- HG-U133A v2 platform.

ABSTRACT: RNA extracted from each cell line was hybridised to the array.

ORGANISM(S): Homo sapiens

SUBMITTER: Ultan McDermott

PROVIDER: E-MTAB-783 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Comparison and validation of genomic predictors for anticancer drug sensitivity.

Papillon-Cavanagh Simon S De Jay Nicolas N Hachem Nehme N Olsen Catharina C Bontempi Gianluca G Aerts Hugo J W L HJ Quackenbush John J Haibe-Kains Benjamin B

Journal of the American Medical Informatics Association : JAMIA 20130126 4

<h4>Background</h4>An enduring challenge in personalized medicine lies in selecting the right drug for each individual patient. While testing of drugs on patients in large trials is the only way to assess their clinical efficacy and toxicity, we dramatically lack resources to test the hundreds of drugs currently under development. Therefore the use of preclinical model systems has been intensively investigated as this approach enables response to hundreds of drugs to be tested in multiple cell l ...[more]

PMID: 23355484

Similar Datasets

Affymetrix HG-U133A 2.0 Expression data

Project description:Expression .CEL files from Affymetrix HG-U133A 2.0 arrays using DNA from 14 human cell lines derived from metastasized melanoma Study of global gene expression differences in malignant melanoma cell lines with or without specific abberations in BRAF NRAS or CDKN2A. UKRV-Mel-16a was wrongly described as Ma-Mel-16a in Blöthner et al. 2005

| S-ECPF-GEOD-22787 | biostudies-other

Affymetrix HG-U133A gene expression profiles of 39 human breast cancer cell lines

Project description:Microarrays were used to detail the global programme of gene expression underlying breast cancer cell lines. We identified two main groups of luminal-type and basal-type breast cancer cell lines by unsupervised Pearson correlation of breast cancer cell lines and intrinsic subtyping. Supervised analysis on spindle versus non-spindle breast cancer cell lines identified a spindle cell signature of 1,144 genes identifying all spindle, basal-type, E-cadherin methylated breast cancer cell lines. Breast cancer cell lines were grown to optimal cell densities for RNA extraction and hybridization on Affymetrix microarrays.

| S-ECPF-GEOD-16795 | biostudies-other

Affymetrix HG-U133A 2.0 Expression data from 5 human cell lines derived from metastasized melanoma

Project description:Study of global gene expression differences in malignant melanoma cell lines with or without specific abberations in BRAF NRAS or CDKN2A. Expression .CEL files from Affymetrix HG-U133A 2.0 arrays using total RNA from 5 human cell lines derived from metastasized melanoma

| S-ECPF-GEOD-62682 | biostudies-other

Affymetrix HG-U133A 2.0 Expression data

Project description:Expression .CEL files from Affymetrix HG-U133A 2.0 arrays using DNA from 14 human cell lines derived from metastasized melanoma

2010-07-08 | GSE22787 | GEO

Affymetrix HG-U133A 2.0 Expression data

2010-07-08 | E-GEOD-22787 | biostudies-arrayexpress

Affymetrix HG-U133A gene expression profiles of 39 human breast cancer cell lines

2009-07-13 | GSE16795 | GEO

Affymetrix HG-U133A gene expression profiles of 39 human breast cancer cell lines

2009-07-13 | E-GEOD-16795 | biostudies-arrayexpress

Affymetrix HG-U133A 2.0 Expression data from 6 human cell lines derived from metastasized melanoma

Project description:Study of global gene expression differences in malignant melanoma cell lines with or without specific abberations in BRAF NRAS or CDKN2A.

2014-10-25 | GSE62682 | GEO

Affymetrix HG-U133A 2.0 Expression data from 5 human cell lines derived from metastasized melanoma

2014-10-25 | E-GEOD-62682 | biostudies-arrayexpress

Transcription profiling by array of normal pancreas, primary pancreatic ductal adenocarcinoma (PDAC), normal liver, and pancreatic liver metastases using the Affymetrix HG-U133A array

Project description:"Pancreatic cancer is a devastating disease with both local invasion and distant metastasis. Identifying the genes expressed in liver metastases and signatures of metastatic progression would therefore be of particular importance as they could aid in both recurrence prediction as well as representing novel therapeutic targets. Keywords: Gene expression profiling We have performed microarray gene expression analysis of normal pancreas, primary pancreatic ductal adenocarcinoma (PDAC), normal liver, and pancreatic liver metastases to identify potential therapeutic targets."

| S-ECPF-GEOD-19279 | biostudies-other

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