Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Factorial study for evaluating the effect of Affy platform and lab on gene expression measurements

ABSTRACT: Comparison of concordance in single and multi-gene genomic indices from data generated by two different laboratories (MD Anderson Cancer Center (MDA) and Jules Bordet Institute (JBI)) and on two different Affymetrix platforms (U113A and U133_Plus2). We used a 2x2 factorial study in which 16 clinical breast cancer samples were profiled by both laboratories on both platforms (64 arrays total). Total RNA was extracted, cRNA was labeled and fragmented at MDA. Fragmented cRNA was profiled on both platforms at MDA. Fragmented cRNA was shipped to JBI where it was also profiled on both platforms.

ORGANISM(S): Homo sapiens

SUBMITTER: Christos Hatzis

PROVIDER: E-GEOD-17700 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Genomic index of sensitivity to endocrine therapy for breast cancer.

Symmans W Fraser WF Hatzis Christos C Sotiriou Christos C Andre Fabrice F Peintinger Florentia F Regitnig Peter P Daxenbichler Guenter G Desmedt Christine C Domont Julien J Marth Christian C Delaloge Suzette S Bauernhofer Thomas T Valero Vicente V Booser Daniel J DJ Hortobagyi Gabriel N GN Pusztai Lajos L

Journal of clinical oncology : official journal of the American Society of Clinical Oncology 20100809 27

<h4>Purpose</h4>We hypothesize that measurement of gene expression related to estrogen receptor α (ER; gene name ESR1) within a breast cancer sample represents intrinsic tumoral sensitivity to adjuvant endocrine therapy.<h4>Methods</h4>A genomic index for sensitivity to endocrine therapy (SET) index was defined from genes coexpressed with ESR1 in 437 microarray profiles from newly diagnosed breast cancer, unrelated to treatment or outcome. The association of SET index and ESR1 levels with distan ...[more]

PMID: 20697068

Similar Datasets

Project description:We have used commercially available oligonucleotide arrays to measure the relative expression levels of >10,000 genes and ESTs. Recent evidence suggested certain advantages of performing such expression experiments on two or more different platforms of oligonucleotide arrays. Here we have used two oligonucleotide platforms, MG U74Av2.0 arrays from Affymetrix and CodeLink UniSet1 from GE Healthcare, to assess whole brain gene expression patterns in naive C57BL/6 and DBA/2J mice. C57BL/6J (n = 5) and DBA/2J (n = 4) male mice, 25-30 g body weight, were obtained from Jackson Laboratories. Animals were group-housed and quickly sacrificed by CO2 exposure according to a protocol approved by the UCHSC IACUC. Brains were rapidly removed and stored at -80oC until use. Whole brain was homogenized in lysis buffer using a Polytron, and total RNA was isolated using the RNeasy Midi Kit (Qiagen) following the protocol supplied by the manufacturer. An additional clean-up of total RNA was carried out using the RNeasy Mini Kit (Qiagen). Using the protocol supplied by the manufacturer, double-stranded cDNA was synthesized from the total RNA (4 ug of total RNA from an individual mouse brain was used for each array) and was used to obtain biotin-labeled cRNA by an in vitro transcription reaction. Biotin-labeled cRNA was recovered using the RNeasy kit. Biotin-labeled cRNA from each mouse was then fragmented and hybridized with two separate (duplicate) CodeLink BioArrays. The average of the gene expression intensity values for each probe set from these technical replicates was used for data analysis. The BioArrays were subsequently stained for 30 min with Cy5-Streptavidin and washed prior to scanning. For MG U74Av2 arrays,double-stranded cDNA was synthesized from 5 ug of total RNA, using the protocol supplied by the manufacturer, and used to obtain biotin-labeled cRNA by an in vitro transcription reaction. Biotin-labeled cRNA was then fragmented and the quality of the fragmented cRNA was assessed using Test2 chips prior to hybridization with the Affymetrix arrays. Hybridization of the cRNA with the Affymetrix arrays was carried out according to the manufacturer's protocol. The arrays were stained with streptavidin-phycoerythrin conjugate and scanned by a GeneArray scanner. Keywords: other

Project description:Experiment on the effects of ethanol (acute oral) on induction of genes by polyinosinic polycytidylic acid (poly IC). Microarray methodology follows: cDNA for each sample was synthesized from 8.5 µg total RNA using a Superscript cDNA Synthesis Kit (Invitrogen, Carlsbad, CA) in combination with a T7-(dT)24 primer. Following phenol-chloroform extraction of the cDNA, biotinylated cRNA was transcribed in vitro using the BioArray HighYield RNA Transcript Labeling Kit (ENZO Biochem, New York, NY) and purified using the RNeasy Mini Kit (Qiagen, Valencia, CA). Twenty micrograms of purified cRNA was fragmented by incubation in fragmentation buffer (200 mM Tris-acetate, pH 8.1, 500 mM potassium acetate, 150 mM magnesium acetate) at 94°C for 35 minutes and chilled on ice. Fifteen micrograms of fragmented biotin-labeled cRNA was hybridized to the Murine Genome U74Av2 Array (Affymetrix, Santa Clara, CA), interrogating a total of 12,488 murine gene cDNA probes, for 16 hr at 45°C with constant rotation (60 rpm). The arrays were washed and then stained for 10 min at 25°C with 10 µg/mL streptavidin-R phycoerythrin (Vector Laboratories, Burlingame, CA) followed by 3 µg/mL biotinylated goat anti-streptavidin antibody (Vector Laboratories) for 10 minutes at 25°C. Arrays were then stained once again with streptavidin-R phycoerythrin for 10 min at 25°C. After washing and staining, the arrays were scanned using an Agilent GeneArray Scanner (Agilent Technologies) at 570 nm. Pixel intensities were measured, expression signals were analyzed and features extracted using a commercial software package (Microarray Suite ver 5.0, Affymetrix). Data mining and statistical analyses were performed with Data Mining Tool ver 3.0 (Affymetrix) algorithms. Arrays were globally scaled to a target intensity value of 2,500 in order to compare individual experiments. The absolute call (present, marginal, absent) of 12,488 gene expressions in each sample, as well as the direction of change, and fold change of gene expressions between samples were identified using the above-mentioned software. Keywords: other

Dataset Information

Factorial study for evaluating the effect of Affy platform and lab on gene expression measurements

Publications

Genomic index of sensitivity to endocrine therapy for breast cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure