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

ABSTRACT: 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

ORGANISM(S): Homo sapiens

PROVIDER: GSE67329 | GEO | 2015/03/27

SECONDARY ACCESSION(S): PRJNA279516

REPOSITORIES: GEO

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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

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO4]

Project description:Analysis of gene expression in ovarian cancer cells with and without overexpression of the miRNA mir-124 which will provide data about genes possibly directly regulated by miR-124. Also, analysis of gene expression in ovarian cancer cells with and without knockdown of the homeodomain transcription factor SIX4 (a target of miR-124) which will provide data about genes possibly directly regulated by SIX4 Total RNA was isolated from PEO4 cells transfected with miRNA mimic negative control (miNC), miR-124 mimic, siRNA negative control (siNC) oligo, or siRNA targeting the SIX4 gene (siSIX4) 72 hours post-transfection

2015-03-27 | E-GEOD-67328 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO1]

Project description:Analysis of gene expression in ovarian cancer cells with and without overexpression of the miRNA mir-124 which will provide data about genes possibly directly regulated by miR-124. Also, analysis of gene expression in ovarian cancer cells with and without knockdown of the homeodomain transcription factor SIX4 (a target of miR-124) which will provide data about genes possibly directly regulated by SIX4 Total RNA was isolated from PEO1 cells transfected with miRNA mimic negative control (miNC), miR-124 mimic, siRNA negative control (siNC) oligo, or siRNA targeting the SIX4 gene (siSIX4) 72 hours post-transfection

2015-03-27 | E-GEOD-67327 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO4]

2015-03-27 | GSE67328 | GEO

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO1]

2015-03-27 | GSE67327 | GEO

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

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-03-27 | E-GEOD-67330 | biostudies-arrayexpress

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

Project description:This SuperSeries is composed of the SubSeries listed below.

2015-03-27 | GSE67330 | GEO

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. 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).

2012-02-22 | E-GEOD-35951 | 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

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

Project description:The source of IFN-Î³ in ovarian cancer microenvironment and its biological effect to the tumor cells is unclear. The immortalized human ovarian surface epithelial cell line, HOSE-E7/hTERT (HOSE) was treated with IFN-Î³ and expression microarray analysis was performed, and probes showing significantly higher values in IFN-Î³-added group were termed â??IFN-Î³ signature genes (295 probes)â??. We then applied this signature to our ovarian cancer microarray data, which included 75 ovarian cancer clinical samples, by means of ss-GSEA. IFN-Î³ signature score was strongly correlated to the number of infiltrating CD4-positive or CD8-positive lymphocytes in the tumors. These data suggest that the IFN-Î³ in the ovarian cancer microenvironment is derived from lymphocytes, and an IFN-Î³-rich microenvironment is strongly correlated to a lymphocyte-rich microenvironment. HOSE cells were incubated in 8 separate culture dishes, 4 dishes with and 4 dishes without 500 IU/ml recombinant human IFN-Î³ (R&D Systems) in the culture medium for 6 hours prior to the analysis.

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

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