Day-to-day variability in microarray experiments is a recognized source of variation that can impede the analysis of large microarray studies where samples are processed on different days. In this study, we have applied an algorithm, called D2Dsum, which is based on a log-linear fixed effect model to cope with this kind of issues on a data set of 45 microarrays.
No associated publication
Compound, Time
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Discovery of drug mode of action and drug repositioning from transcriptional responses.
Specimen part, Cell line, Treatment
View SamplesTreatment with Aurora inhibitors has been shown to induce diverse biological responses in different tumor cell lines, in part depending on their p53 status. To characterize at the transcriptional level the effects of Danusertib we analyzed by microarray different tumor cell lines, with WT or mutant p53 status, that showed differential cell cycle response upon drug treatment.
Transcriptional analysis of the Aurora inhibitor Danusertib leading to biomarker identification in TP53 wild type cells.
Specimen part, Cell line
View SamplesThe effects of several compounds on the MCF7 human adenocarcinoma mammary cell line were analysed by gene expression profiling.
Discovery of drug mode of action and drug repositioning from transcriptional responses.
Specimen part, Cell line, Treatment
View SamplesMicroarrays have been widely used for the analysis of gene expression and several commercial platforms are available. The combined use of multiple platforms can overcome the inherent biases of each approach, and may represent an alternative that is complementary to RT-PCR for identification of the more robust changes in gene expression profiles.
Cross platform microarray analysis for robust identification of differentially expressed genes.
No sample metadata fields
View SamplesThe effects of the CDK inhibitors PHA-848125 and PHA-690509 on the A2780 cell line were analysed by gene expression profiling.
Discovery of drug mode of action and drug repositioning from transcriptional responses.
Specimen part, Cell line, Treatment
View SamplesThe effects of the CDK inhibitor PHA-793887 on the A2780 human adenocarcinoma ovary cell line were analysed by gene expression profiling.
Discovery of drug mode of action and drug repositioning from transcriptional responses.
Specimen part, Cell line, Treatment
View SamplesThe effects of the CDK inhibitor PHA-848125 (referred to as CDK-125) on the MCF7 human adenocarcinoma mammary cell line were analysed by gene expression profiling.
Discovery of drug mode of action and drug repositioning from transcriptional responses.
Specimen part, Cell line, Treatment
View SamplesThe effects of the CDK inhibitor Flavopiridol on the A2780 human adenocarcinoma ovary cell line were analysed by gene expression profiling.
Discovery of drug mode of action and drug repositioning from transcriptional responses.
Specimen part, Cell line, Treatment
View SamplesThe development of cytostatic-drug resistance renders chemotherapy ineffective in treating ovarian cancer, the most lethal gynaecological malignancy. In many cases, it is difficult to explain the development of drug resistance based on the expression patterns of genes known to be involved in this process. Microarray-based assays can provide information about new genes that are involved in the resistance to cytostatic drugs. This report describes alterations in the level of expression of genes in cisplatin- (CisPt), doxorubicin- (Dox), topotecan- (Top), and paclitaxel- (Pac) resistant variants of W1 and A2780 ovarian cancer cell lines. These drug-resistant variants of the W1 and A2780 cell lines were generated through the stepwise selection of cells tolerant of exposure to the indicated drugs at incrementally increased concentrations. Affymetrix GeneChip Human Genome Array Strips were used for hybridization assays. The genes with significantly altered expression levels (upregulated by more than fivefold or downregulated by less than fivefold relative to the level in the parental line) in the drug-resistant sublines were selected and were filtered using volcano plotting.
Microarray-based detection and expression analysis of extracellular matrix proteins in drug‑resistant ovarian cancer cell lines.
Cell line
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