The recently released Affymetrix Human Gene 1.0 ST array has two major differences compared with standard 3' based arrays: (1) it interrogates the entire mRNA transcript, and (2) it uses cDNA targets. To assess the impact of these differences on array performance, we performed series of comparative hybridizations between the Human Gene 1.0 ST and the Affymetrix HG-U133 Plus 2.0 and the Illumina HumanRef-8 BeadChip arrays. Additionally, both cRNA and cDNA targets were probed on the HG-U133 Plus 2.0 array. The results show that the overall reproducibility is best using the Gene 1.0 ST array. When looking only at the high intensity probes, the reproducibility of the Gene 1.0 ST array and the Illumina BeadChip array is equally good. Concordance of array results was assessed using different inter-platform mappings. The Gene 1.0 ST is most concordant with the HG-U133 array hybridized with cDNA targets, thus showing the impact of the target type. Agreements are better between platforms with designs which choose probes from the 3' end of the gene. Overall, the high degree of correspondence provides strong evidence for the reliability of the Gene 1.0 ST array.
Affymetrix Whole-Transcript Human Gene 1.0 ST array is highly concordant with standard 3' expression arrays.
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BRAF V600E Mutant Colorectal Cancer Subtypes Based on Gene Expression.
Sex, Age, Subject
View SamplesSamples were taken from surgically resected tumor specimens from patients with colorectal cancer. The expression profiles were determined using the Affymetrix GeneChip Human Exon 1.0 ST Array version 2. Gene mutation status was determined using Sanger sequencing.
BRAF V600E Mutant Colorectal Cancer Subtypes Based on Gene Expression.
Sex, Age, Subject
View SamplesmRNA from 59 primary colorectal tumour samples were extracted and hybridized to HG-U133Plus 2.0 expression arrays. Mutation status for several genes were determined using Sanger sequencing.
BRAF V600E Mutant Colorectal Cancer Subtypes Based on Gene Expression.
Sex, Age, Subject
View SamplesBackground: Estrogen receptor positive (ER+) breast cancers (BC) are heterogeneous with regard to their clinical behavior and response to therapies. The ER is currently the best predictor of response to the anti-estrogen agent tamoxifen, yet up to 30-40% of ER+BC will relapse despite tamoxifen treatment. New prognostic biomarkers and further biological understanding of tamoxifen resistance are required. We used gene expression profiling to develop an outcome-based predictor using a training set of 255 ER+ BC samples from women treated with adjuvant tamoxifen monotherapy. We used clusters of highly correlated genes to develop our predictor to facilitate both signature stability and biological interpretation. Independent validation was performed using 362 tamoxifen-treated ER+ BC samples obtained from multiple institutions and treated with tamoxifen only in the adjuvant and metastatic settings.
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.
Age, Disease stage, Treatment
View SamplesBackground: Histologic grade in breast cancer provides clinically important prognostic information. However, 30%-60% of tumors are classified as histologic grade 2. This grade is associated with an intermediate risk of recurrence and is thus not informative for clinical decision making. We examined whether histologic grade was associated with gene expression profi les of breast cancers and whether such profi les could be used to improve histologic grading.
Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.
Age, Disease stage
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Human decidual NK cells from gravid uteri and NK cells from cycling endometrium are distinct NK cell subsets.
Specimen part
View SamplesFragmented RNA cocktails from FACS sorted Human decidual NK cell, and peripheral blood CD56Bright and CD56Dim NK cells, previously hybridization to HGU95AV2 chips (Koopman et al J Exp Med. 2003 Oct 20;198(8):1201-1), were stored long term at -80C, thawed and hybridized to HG-U133A arrays.
Human decidual NK cells from gravid uteri and NK cells from cycling endometrium are distinct NK cell subsets.
Specimen part
View SamplesFragmented RNA cocktails from FACS sorted Human decidual NK cell, and peripheral blood CD56Bright and CD56Dim NK cells, previously hybridization to HGU95AV2 chips (Koopman et al J Exp Med. 2003 Oct 20;198(8):1201-1), were stored long term at -80C, thawed and hybridized to HG-U133B arrays.
Human decidual NK cells from gravid uteri and NK cells from cycling endometrium are distinct NK cell subsets.
Specimen part
View SamplesHuman NK cells from the decidua basalis of gravid uteri (dNK) and from cycling endometrium (eNK) of women undergoing hysterectomy were isolated and compared by gene expression profiling using Affymetrix microarrays with probes representing ~47,400 transcripts. Substantial differences indicate that these two types of NK cells represent distinct subsets.
Human decidual NK cells from gravid uteri and NK cells from cycling endometrium are distinct NK cell subsets.
Specimen part
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