RNA microarray profiling of 45 tissue samples was carried out using the Affymetrix (U133) gene expression platform. Laser capture microdissection (LCM) was employed to isolate cancer cells from the tumors of 18 serous ovarian cancer patients (Cepi). For 7 of these patients, a matched set of surrounding cancer stroma (CS) was also collected. For controls, surface ovarian epithelial cells (OSE) were isolated from the normal (non-cancerous) ovaries of 12 individuals including matched sets of samples of OSE and normal stroma (NS) from 8 of these patients. Unsupervised hierarchical clustering of the microarray data resulted in the expected separation between the OSE and Cepi samples. Consistent with models of stromal activation, we also observed significant separation between the NS and CS samples. Unexpectedly, the CS samples sub-divided into two distinct groups. Analysis of expression patterns of genes encoding signaling molecules and compatible receptors in the CS and Cepi samples are consistent with the hypothesis that the two CS sub-groups differ significantly in their relative propensities to support tumor growth.The results indicate the existence of distinct categories of ovarian cancer stroma and suggest that functionally significant variability exists among ovarian cancer patients in the ability of the microenvironment to modulate cancer development.
Molecular profiling predicts the existence of two functionally distinct classes of ovarian cancer stroma.
Age, Specimen part, Disease stage, Subject
View SamplesHEY cells display a mesenchymal phenotype (elongated). After a 48hr transfection with mir-429 their phenotype changes to an epithelial-like (cuboidal)
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Cell line, Time
View SamplesTime and dose related expression profiles of rat right heart tissue in microsphere bead model for Pulmonary embolism
Transcriptional profile of right ventricular tissue during acute pulmonary embolism in rats.
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View SamplesMenisci play a vital role in load transmission, shock absorption and joint stability. The current dogma is that the menisci simply protects the cartilage and play no role in osteoarthritis (OA) unless they are injured. However, there is increasing evidence suggesting that OA menisci may not merely be bystanders in the disease process of OA. This study sought: 1) to determine the prevalence of meniscal degeneration in OA patients, 2) to examine gene expression in OA meniscal cells compared to normal control meniscal cells, and 3) to test the hypothesis that OA meniscal cells are different from normal meniscal cells.
Analysis of meniscal degeneration and meniscal gene expression.
Specimen part
View SamplesTo conduct clinical cancer research and study the genetic basis of hepatocellular carcinoma
No associated publication
None
No sample metadata fields
View SamplesAdult mouse gene expression patterns in common strains
Glyoxalase 1 and glutathione reductase 1 regulate anxiety in mice.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expression.
No sample metadata fields
View SamplesWe used microarrays to detail genome-wide gene expression underlying cardiac myocyte pathologies and identified candidate genes and specific pathways affecting cardiac myopathies
Reduced phosphoinositide 3-kinase (p110alpha) activation increases the susceptibility to atrial fibrillation.
No sample metadata fields
View SamplesINTRODUCTION: Persistent lung inflammation, with an influx of polymorphonuclear leukocytes and monocytes, occurs early in bronchopulmonary dysplasia. We hypothesized that: 1) that interleukin-10, a potent anti-inflammatory cytokine, would cause a markedly different gene expression profile compared to dexamethasone in these cells, and 2) monocyte insensitivity to dexamethasone was related to glucocorticoid receptor expression.
No associated publication
Specimen part
View SamplesTemporally restricted feeding is known to impact the circadian clock. This dataset shows the effects of temporally restricted feeding on the hepatic transcriptome.
Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expression.
No sample metadata fields
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