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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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MiRNA Expression Profiling in Ovarian Cell Lines compared to pooled commercial RNA samples

ABSTRACT: We investigated whether levels of serum microRNAs (miRNAs) could discriminate women with high-grade serous ovarian epithelial cancer (SEOC) from age matched healthy volunteers. miRNA expression profiling was performed on 4 SEOC cell lines and normal human ovarian surface epithelial cells (HOSE). miR-182, miR-200a, b and c were highly overexpressed in the SEOC cell lines. miR-103, miR-92a and miR-638 displayed relatively invariant expression and with RNU48, were assessed, as putative serum miRNA normalizers. The 7 miRNA and RNU48 were assessed in serum from SEOC patients (n = 30) and age-matched healthy volunteers (n = 32) by qRT-PCR following pre-amplification. No correlation between age and miRNA or RNU48 levels was observed (age range 30-79 years). miR-103 demonstrated the least variance and was chosen to normalize serum volume adjusted results. miR-200a, b and c were significantly elevated in SEOC serum (P = 0.002; 0.003; 0.0003 respectively) and a multivariate model was the best predictive classifier of SEOC (ROC-AUC = 0.806). A correlation between high miR-200b levels and residual macroscopic disease following cytoreductive surgery was identified (P = 0.006). Our results suggest that serum miR-200a, b and c may have utility as diagnostic biomarkers for SEOC. miRNA expression was arrayed in 1 human surface epithelial cells (HOSE) and 4 ovarian cancer cell lines (OV167, OV202, OVCAR-3, PE01). HOSE cells were run in triplicate (including 1 dye-swap). Ovarian cancer cell lines were run in duplicate (including 1 dye-swap).

ORGANISM(S): Homo sapiens

SUBMITTER: Casina Kan

PROVIDER: E-GEOD-35951 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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miRNA Expression Profiling in Ovarian Cell Lines compared to pooled commercial RNA samples

Project description:We investigated whether levels of serum microRNAs (miRNAs) could discriminate women with high-grade serous ovarian epithelial cancer (SEOC) from age matched healthy volunteers. miRNA expression profiling was performed on 4 SEOC cell lines and normal human ovarian surface epithelial cells (HOSE). miR-182, miR-200a, b and c were highly overexpressed in the SEOC cell lines. miR-103, miR-92a and miR-638 displayed relatively invariant expression and with RNU48, were assessed, as putative serum miRNA normalizers. The 7 miRNA and RNU48 were assessed in serum from SEOC patients (n = 30) and age-matched healthy volunteers (n = 32) by qRT-PCR following pre-amplification. No correlation between age and miRNA or RNU48 levels was observed (age range 30-79 years). miR-103 demonstrated the least variance and was chosen to normalize serum volume adjusted results. miR-200a, b and c were significantly elevated in SEOC serum (P = 0.002; 0.003; 0.0003 respectively) and a multivariate model was the best predictive classifier of SEOC (ROC-AUC = 0.806). A correlation between high miR-200b levels and residual macroscopic disease following cytoreductive surgery was identified (P = 0.006). Our results suggest that serum miR-200a, b and c may have utility as diagnostic biomarkers for SEOC.

2012-02-22 | GSE35951 | GEO

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [miRNA]

Project description:Analysis of microRNA (miRNA) expression in ovarian cancer cell lines and human ovarian surface epithelium (HOSE) in order to identify differentially expressed miRNAs between cancer lines and HOSE Total RNA was isolated from cells 72 hours after plating

2015-03-27 | E-GEOD-67329 | biostudies-arrayexpress

Gene-expression profiles of IFN-gamma-affected HOSE cells

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2014-03-04 | E-GEOD-55510 | biostudies-arrayexpress

Affymetrix 6.0 study of sporadic motor neuron disease patients and controls.

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2010-07-31 | E-GEOD-15826 | biostudies-arrayexpress

Repertoire of miRNAs in epithelial ovarian cancer determined by next generation sequencing of small RNA cDNA libraries

Project description:Background: MicroRNAs (miRNAs) are small regulatory RNAs that are implicated in cancer pathogenesis and have recently shown promise as blood-based biomarkers for cancer detection. Epithelial ovarian cancer is a deadly disease for which improved outcomes could be achieved by successful early detection and enhanced understanding of molecular pathogenesis that leads to improved therapies. A critical step toward these goals is to establish a comprehensive view of miRNAs expressed in epithelial ovarian cancer tissues as well as in normal ovarian surface epithelial cells. Methodology: We used massively parallel pyrosequencing (i.e., M-bM-^@M-^\454 sequencingM-bM-^@M-^]) to discover and characterize novel and known miRNAs expressed in primary cultures of normal human ovarian surface epithelium (HOSE) and in tissue from three of the most common histotypes of ovarian cancer. Deep sequencing of small RNA cDNA libraries derived from normal HOSE and ovarian cancer samples yielded a total of 738,710 high-quality sequence reads, generating comprehensive digital profiles of miRNA expression. Expression profiles for 498 previously annotated miRNAs were delineated and we discovered six novel miRNAs and 39 candidate miRNAs. A set of 124 miRNAs was differentially expressed in normal versus cancer samples and 38 miRNAs were differentially expressed across histologic subtypes of ovarian cancer. Taqman qRT-PCR performed on a subset of miRNAs confirmed results of the sequencing-based study.

2009-03-12 | E-GEOD-15190 | biostudies-arrayexpress

Transcription profiling by array of human MCF-7 breast cancer cells

Project description:Estrogen-responsive genes were identified by transcript profiling of estrogen-treated MCF-7 breast cancer cells. The gene expression profile generated after estrogen treatment was compared with that following inducible expression of c-Myc or c-Zip (a deletion mutant of c-Myc that lacks the N-terminal transactivation domains) in clonal MCF-7 cell lines. Experiment Overall Design: RNA was collected in three independent experiments, each including parental MCF-7 cells treated with 17b-estradiol (E2) or ethanol (EtOH), zinc-treated p-delta-MT-c-Myc cells, zinc-treated p-delta-MT-c-Zip cells and zinc-treated empty vector (p-delta-MT) cells. Cells were arrested for 48 h with 10 nM ICI 182780 and then treated for 6 h with either 100 nM E2 or ethanol vehicle, or 75 mM zinc for the stably transfected cell lines.

2008-10-25 | E-GEOD-11791 | biostudies-arrayexpress

A cancer associated fibroblasts (CAFs) specific gene signature in high grade serous ovarian cancer

Project description:Ovarian cancer is the most lethal malignancy in the United States. In the year 2012, there will be an estimated 22,280 new cases and 15,500 deaths from ovarian cancer in the country (Siegel et al., 2012). While studies on ovarian cancer pathogenesis were mainly focused on the epithelial component of the tumor, understanding in the role of cancer associated fibroblasts (CAFs) in ovarian cancer progression is limited. We hypothesized that comparing the gene expression profiles of different components from laser capture microdissected ovarian tissue will allow us to identify an ovarian CAFs specific gene signature which accounts for the supportive role of CAFs in ovarian cancer progression. In this study, gene expression profiling was completed for 31 cancer stroma samples and 32 samples of epithelial component from high grade serous ovarian cancer patients. 8 microdissected normal ovarian stroma and 6 normal human ovarian surface epithelium (HOSE) samples were also included in the study. By comparing the expression data from cancer stroma against that from normal stroma, cancer cells and HOSE, we identified a set of differential expressed genes in ovarian CAFs which showed correlation with cancer patient survival. Further study on these genes can reveal their roles in ovarian cancer progression and pathogenesis. Ultimately, ovarian CAFs specified genes identified in this study may aid in the classification and enhancement of patient outcome. Transcriptome profiling analyses were performed on 31 laser microdissected cancer associated stroma samples, 32 epithelial tumor samples from high grade serous ovarian cancer patients, 8 microdissected normal ovarian stroma samples and 6 ovarian surface epthelium (HOSE) samples using the Affymetrix human genome U133 Plus 2.0 microarray.

2014-09-11 | E-GEOD-40595 | biostudies-arrayexpress

microRNA profiling of ovary cell tumors and HOSE cells

Project description:In order to determine the difference at the microRNA level of different ovarian tumor histotypes, we have performed a whole miRNA screening on 183 patients of grade 1 ovarian cancer. Additionally, we compared the miRNA profile of tumors with standard ovarian epithelial cells (HOSE).

2013-06-17 | E-MTAB-1067 | biostudies-arrayexpress

lncRNA and mRNA expression signatures in OVCAR3 cells: control vs. miR-200a transfected

Project description:To further development of the effects of miR-200a in ovarian cancer OVCAR3 cells，we have employed lncRNA and mRNA microarray as a discovery platform to identify lncRNA and mRNA expression in miR-200a overexpressing ovarian cancer cells. OVCAR3 cells were transfected with lentiviral vector with eGFP, encoding miR-200a and negative control vector (LV- miR-200a and LV-CON,) by using polybrene. The dysregulation of miR-200a was confirmed by using RT-PCR. RNA was extracted and detected by a lncRNA and mRNA microarray in LV-miR-200a and LV-CON OVCAR3 cells. The different expression of lncRNA and mRNA in LV-miR-200a and LV-CON OVCAR3 cells was analyzed to explore the mechanism that miR-200a affect ovarain cancer cells.

2018-11-04 | GSE122123 | GEO

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [miRNA]

2015-03-27 | GSE67329 | GEO

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