PURPOSE:
Unique gene expression profile based on pathologic response in epithelial ovarian cancer.
No sample metadata fields
View SamplesWe performed a time-course microarray experiment to define the transcriptional response to carboplatin in vitro, and to correlate this with clinical outcome in epithelial ovarian cancer (EOC). RNA was isolated from carboplatin and control-treated 36M2 ovarian cancer cells at several time points, followed by oligonucleotide microarray hybridization. Carboplatin induced changes in gene expression were assessed at the single gene as well as at the pathway level. Clinical validation was performed in publicly available microarray datasets using disease free and overall survival endpoints.
Carboplatin-induced gene expression changes in vitro are prognostic of survival in epithelial ovarian cancer.
No sample metadata fields
View SamplesA gene expression profile of BRCAness was defined in publicly available expression data of 61 patients with epithelial ovarian cancer (34 patients with BRCA-1 or BRCA-2 mutations and 27 patients with sporadic disease). This dataset is publicly available at http://jnci.oxfordjournals.org/cgi/content/full/94/13/990/DC1
Gene expression profile of BRCAness that correlates with responsiveness to chemotherapy and with outcome in patients with epithelial ovarian cancer.
Age, Disease stage
View SamplesIn order to address the progression, metastasis, and clinical heterogeneity of renal cell cancer (RCC), transcriptional profiling with oligonucleotide microarrays (22,283 genes) was done on 49 RCC tumors, 20 non-RCC renal tumors, and 23 normal kidney samples. Samples were clustered based on gene expression profiles and specific gene sets for each renal tumor type were identified. Gene expression was correlated to disease progression and a metastasis gene signature was derived. Gene signatures were identified for each tumor type with 100% accuracy. Differentially expressed genes during early tumor formation and tumor progression to metastatic RCC were found. Subsets of these genes code for secreted proteins and membrane receptors and are both potential therapeutic or diagnostic targets. A gene pattern ("metastatic signature") derived from primary tumors was very accurate in classifying tumors with and without metastases at the time of surgery. A previously described "global" metastatic signature derived by another group from various non-RCC tumors was validated in RCC. Unlike previous studies, we describe highly accurate and externally validated gene signatures for RCC subtypes and other renal tumors. Interestingly, the gene expression of primary tumors provides us information about the metastatic status in the respective patients and has the potential, if prospectively validated, to enrich the armamentarium of diagnostic tests in RCC. We validated in RCC, for the first time, a previously described metastatic signature and further showed the feasibility of applying a gene signature across different microarray platforms. Transcriptional profiling allows a better appreciation of the molecular and clinical heterogeneity in RCC.
Gene signatures of progression and metastasis in renal cell cancer.
Specimen part
View SamplesFemale BRCA1 mutation carriers have a nearly 80% probability of developing breast cancer during their life-time. We hypothesized that the breast epithelium at risk in BRCA1 mutation carriers harbors mammary epithelial cells (MECs) with altered proliferation and differentiation properties.
Altered proliferation and differentiation properties of primary mammary epithelial cells from BRCA1 mutation carriers.
No sample metadata fields
View SamplesSlow-cycling subpopulations exist in bacteria, yeast, and mammalian systems. In the case of cancer, slow-cycling subpopulations have been proposed to give rise to drug resistance. However, the origin of slow-cycling human cells is poorly studied, in large part due to lack of markers to identify these rare cells. Slow-cycling cells pass through a non-cycling period marked by low CDK2 activity and high p21 levels. Here, we use this knowledge to isolate these naturally slow-cycling cells from a heterogeneous population and perform RNA-sequencing to delineate the transcriptome underlying the slow-cycling state. We show that cellular stress responses – the p53 transcriptional response and the integrated stress response – are the most salient causes of spontaneous entry into the slow-cycling state. Overall design: mRNA profiling of spontaneously quiescent human cells and cells forced into quiescence by four different methods
Spontaneously slow-cycling subpopulations of human cells originate from activation of stress-response pathways.
Cell line, Subject
View SamplesLaser capture microdissection coupled with microarray genes expression analysis were utilized in order to elucidate the regulatory networks active in epithelial cells of the neonatal and adult mouse uterus.
Cell-specific transcriptional profiling reveals candidate mechanisms regulating development and function of uterine epithelia in mice.
Specimen part
View SamplesTo identify genes differentially expressed in the glandless uterus, whole uteri were collected from control (uterine glands present) and PUGKO (no uterine glands) mice at day of pseudopregnancy (DOPP) 3.5 (day DOPP 0.5= vaginal plug). Microarray analysis identified differentially expressed genes in the glandless uteri of PUGKO mice as compared to control mice.
Cell-specific transcriptional profiling reveals candidate mechanisms regulating development and function of uterine epithelia in mice.
Specimen part
View SamplesTo identify candidate genes regulated by forkhead transcription factor box A2 (FOXA2) in the uterus, control and Foxa2-deleted uteri were collected at day of pseudopregnancy (DOPP) 3.5 (DOPP 0.5= vaginal plug). Microarray analysis identified differentially expressed genes in the Foxa2-deleted as compared to control uteri that are candidiate FOXA2-regulated genes in the uterus.
Integrated chromatin immunoprecipitation sequencing and microarray analysis identifies FOXA2 target genes in the glands of the mouse uterus.
Specimen part
View SamplesRNA seq analysis was conducted to determine gene expression in the day 14 ovine conceptus. This was used in conjunction with the day 14 PPARG ChIP-seq analysis to identify genes bound by PPARG which were also expressed or not expressed in the day 14 conceptus. Understanding changes in gene expression during early pregnancy is critical to improving fertility and reproductive efficiency in ruminants. Overall design: RNA seq analysis of 4 conceptuses from 4 individual Day 14 pregnant columbia/rambouillet crossbred ewes
Biological Roles of Hydroxysteroid (11-Beta) Dehydrogenase 1 (HSD11B1), HSD11B2, and Glucocorticoid Receptor (NR3C1) in Sheep Conceptus Elongation.
Subject
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