This SuperSeries is composed of the SubSeries listed below.
Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.
Specimen part
View SamplesThe use of Affymetrix U133 2.0 Plus chips on FFPE samples when coupled with a qPCR-based sample pre-assessment step, yielded satisfactory results from the point of view of biological reliability. When compared with the Illumina DASL WG platform, specifically designed for degraded RNA, the data generated with the Affymetrix platform showed a wider interquartile range (IQR 1.32 vs 0.57, p<2.2x10-16) suggesting a superior discriminatory power within samples as indicated by the good agreement with the immunohistiochemically derived ER status.
Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
LEADeR role of miR-205 host gene as long noncoding RNA in prostate basal cell differentiation.
Cell line
View SamplesWe aimed at analyzing the transcriptome changes associated with the deletion of a portion of the Alu element from MIR205HG transcript
LEADeR role of miR-205 host gene as long noncoding RNA in prostate basal cell differentiation.
Cell line
View SamplesWe aimed at analyzing the transcriptome changes associated with MIR205HG knock-down in RWPE-1 cells
LEADeR role of miR-205 host gene as long noncoding RNA in prostate basal cell differentiation.
No sample metadata fields
View SamplesWe investigate the contribution of IRE1 signaling to the modulation of U87 glioma cells transcriptome upon various stresses. To this end, IRE1 control and IRE1 dominant negative expressing U87 glioma cells were subjected to environmental or chemical challenges and their transcriptome monitored using Affymetrix microarrays.
Posttranscriptional regulation of PER1 underlies the oncogenic function of IREα.
Cell line, Treatment
View SamplesCell migration contributes to normal development and homeostasis as well as to pathological processes such as inflammation and tumor metastasis. Previous genetic screens have revealed a few major signaling pathways that govern follicle cell migrations in the Drosophila ovary, several of which elicit transcriptional responses. However few downstream targets of the critical transcriptional regulators, such as the C/EBP homolog SLBO, have been identified. To characterize the gene expression profile of two migratory cell populations and identify SLBO targets, we employed a magnetic bead based cell separation approach to purify border cells and centripetal cells expressing the mouse CD8 antigen, and carried out whole genome microarray analysis.
Analysis of cell migration using whole-genome expression profiling of migratory cells in the Drosophila ovary.
Sex, Specimen part
View SamplesDifferential gene expression analysis of oesophageal cells stimulated with a low pH environment. Study designed to identify pathways involved in progression of gastro-oesophageal reflux disease through Barrett's oesophagus to adenocarcinoma. Identified many subsets of genes with involvement in pathogenesis.
Low pH induces co-ordinate regulation of gene expression in oesophageal cells.
No sample metadata fields
View SamplesHistone modifications are a key epigenetic mechanism to activate or repress the expression of genes. Data sets of matched microarray expression data and histone modification data measured by ChIP-seq exist, but methods for integrative analysis of both data types are still rare. Here, we present a novel bioinformatic approach to detect genes that are differentially expressed between two conditions putatively caused by alterations in histone modification. We introduce a correlation measure for integrative analysis of ChIP-seq and gene expression data and demonstrate that a proper normalization of the ChIP-seq data is crucial. We suggest applying Bayesian mixture models of different distributions to further study the distribution of the correlation measure. The implicit classification of the mixture models is used to detect genes with differences between two conditions in both gene expression and histone modification. The method is applied to different data sets and its superiority to a naive separate analysis of both data types is demonstrated. This GEO series contains the expression data of the Cebpa example data set.
Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models.
No sample metadata fields
View SamplesAcute myeloid leukemia (AML) is a heterogeneous disease and AML with normal karyotype (AML-NK) is categorized as an intermediate-risk group. Over the past years molecular analyses successfully identified biomarkers that will further allow to dissecting clinically meaningful subgroups in this disease. Thus far, somatic mutations were identified which elucidate the disturbance of cellular growth, proliferation, and differentiation processes in hematopoietic progenitor cells. In AML-NK, acquired gene mutations with prognostic relevance were identified for FLT3, CEBPA, and NPM1. FLT3-ITD mutations were associated with short relapse-free and overall survival, while mutations in CEBPA or NPM1 (without concomitant FLT3-ITD) had a more favorable outcome.
Quantitative comparison of microarray experiments with published leukemia related gene expression signatures.
Sex, Age, Disease, Disease stage
View Samples