Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE35951 | GEO | 2012/02/22

SECONDARY ACCESSION(S): PRJNA151985

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

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

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

2015-03-27 | GSE67329 | GEO

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 profiles of meningiomas

Project description:Meningiomas, one of the most common human brain tumors, are derived from arachnoidal cells associated with brain meninges, usually benign and frequently associated with neurofibromatosis type 2. Here we define a human meningioma-typical miRNA profile and characterize effects of one down-regulated miRNA, miR-200a, on tumor growth. Elevated levels of miR-200a inhibited meningioma cell growth in culture and in a tumor model in vivo. Up-regulation of miR-200a decreased expression of transcription factors, ZEB1 and SIP1, with consequently increased expression of E-cadherin, an adhesion protein associated with cell differentiation. Down-regulation of miR-200a in meningiomas and arachnoidal cells resulted in increased expression of β -catenin and cyclin D1 involved in cell proliferation. miR-200a was found to directly target β -catenin mRNA, thereby inhibiting its translation and blocking β -catenin-Wnt signaling, frequently involved in cancer. A direct correlation was found between down-regulation of miR-200a and up-regulation of β-catenin in human meningioma samples. Thus, miR-200a appears to act as a multi-functional tumor suppressor miRNA in meningiomas through effects on the E-cadherin and β -catenin-Wnt signaling pathways. This reveals a previously unrecognized signaling cascade involved in meningioma tumor development and highlights a novel molecular interaction between miR-200a and Wnt signaling, thereby providing insights into novel therapies for meningiomas.

2009-08-25 | GSE17792 | GEO

microRNA profiles of meningiomas

Project description:Meningiomas, one of the most common human brain tumors, are derived from arachnoidal cells associated with brain meninges, usually benign and frequently associated with neurofibromatosis type 2. Here we define a human meningioma-typical miRNA profile and characterize effects of one down-regulated miRNA, miR-200a, on tumor growth. Elevated levels of miR-200a inhibited meningioma cell growth in culture and in a tumor model in vivo. Up-regulation of miR-200a decreased expression of transcription factors, ZEB1 and SIP1, with consequently increased expression of E-cadherin, an adhesion protein associated with cell differentiation. Down-regulation of miR-200a in meningiomas and arachnoidal cells resulted in increased expression of Î² -catenin and cyclin D1 involved in cell proliferation. miR-200a was found to directly target Î² -catenin mRNA, thereby inhibiting its translation and blocking Î² -catenin-Wnt signaling, frequently involved in cancer. A direct correlation was found between down-regulation of miR-200a and up-regulation of Î²-catenin in human meningioma samples. Thus, miR-200a appears to act as a multi-functional tumor suppressor miRNA in meningiomas through effects on the E-cadherin and Î² -catenin-Wnt signaling pathways. This reveals a previously unrecognized signaling cascade involved in meningioma tumor development and highlights a novel molecular interaction between miR-200a and Wnt signaling, thereby providing insights into novel therapies for meningiomas. 14 meningioma tumor samples were compared to 3 arachnoidal tissue control samples. Two technical replicates were performed for each sample. Normalization and processing included combining the data from technical replicates. The below table contains quantile-normalized data.

2010-06-24 | E-GEOD-17792 | biostudies-arrayexpress

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

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

microRNA expression profile in endometrioid endometrial carcinoma (EEC)

Project description:The aim of the presented study was to define tissue and plasma miRNA signatures, which could potentially serve as diagnostic and prognostic markers in endometrioid endometrial cancer (EEC), and to investigate miRNA profiles in regard to clinicopathological characteristics of the tumors. Results: qPCR validation revealed regulation of 14 miRNAs in EEC tissues (miR-9, miR-141,miR-205,miR-203,miR-183,miR-200a*,miR-200b*,miR-200a,miR-200c,miR-429,miR-200b,miR-410,miR-92a,miR-1305) and 9 in plasma samples (miR-449a,miR-1290,miR-1228,miR-203,miR-200a,miR-141,miR-92a, miR-9, miR-301b). Expression of certain miRNAs showed association with FIGO stage, grade and relapse. Two miRNA signatures, miR-205/miR-410 and miR-410/miR-429/miR-92a, classified tumor tissues with higher accuracy in comparison to single miRNAs (AUC 0.972, 95% CI 0.919-0.995 and 0.991, 95% CI 0.948-1.000, resepctively). miRNA signature composed of miR-205 and miR-200a predicted relapse with AUC of 0.854 (95% CI 0.691-0.951). Tissue miRNA signatures were independent prognostic markers of overall (miR-1228/miR-200c/miR-429, HR 2.98) and progression-free survival (miR-1228/miR-429, HR 4.149). Plasma miRNA signatures classified EEC plasma samples with high accuracy. Conclusions: We conclude that miRNA signatures hold great promise for becoming non-invasive biomarkers for early EEC detection and prognosis.

2012-06-01 | GSE35794 | GEO

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

microRNA expression profile in endometrioid endometrial carcinoma (EEC)

2012-05-31 | E-GEOD-35794 | biostudies-arrayexpress

Atrial appendage miRNA-seq in non-, paroxysmal and persistent atrial fibrillation

Project description:MiRNAs regulate posttranscriptional gene expression and are widely implicated in the pathogenesis of complex diseases. We aim to elucidate miRNA regulation of the atrial mRNA signatures that associate with AF. This may provide novel mechanistical insights and candidate targets for therapies using miRNA mimics or antimiRs. We present combined miRNAs-mRNAs sequencing in atrial tissues of patient without AF (n=22), with paroxysmal AF (n=22) and with persistent AF (n=20). MiRNA and mRNA signatures followed an ordinal scale from nonAF to paroxysmal to persistent AF patients. The previously reported mRNA sequencing identified 5228 differentially expressed genes involved in epithelial to mesenchymal transition, endothelial cell proliferation and extracellular matrix remodelling involving collagens, glycoproteins and proteoglycans. We discovered 103 differentially expressed miRNAs. Key downregulated miRNAs included miR-135b-5p, miR-138-5p, miR-200a-3p, miR-200b-3p and miR-31-5p and key upregulated miRNAs were miR-144-3p, miR-15b-3p, miR-182-5p miR-18b-5p, miR-4306 and miR-206. The expression levels of differentially expressed miRNAs were negatively correlated with the expression levels of their predicted target mRNAs. The downregulated miRNAs demonstrated a more profound transcriptome effect than the upregulated miRNAs. Upregulated biological processes enriched in miRNAs targets related to epithelial and endothelial cell migration and glycosaminoglycan biosynthesis, in line with the processes discovered by the mRNA sequencing analysis. Combined analysis of miRNA and mRNA sequencing uncovered miRNAs with a broad transcriptional effect in human AF. Epithelial to mesenchymal transition and endothelial cell proliferation were processes controlled by downregulated miR-135b-5p, miR-138-5p, miR-200a-3p, miR-200b-3p and miR-31-5p, which in turn may contribute to (myo)fibroblast activation and structural remodeling.\

| EGAS00001005296 | EGA

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data