Ontology highlight
ABSTRACT:
PROVIDER: PRJNA131253 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE23383: miRNAs in ovarian cancer: A systems approach (miRNA data) GSE23391: miRNAs in ovarian cancer: A systems approach (mRNA data) GSE27431: miRNAs in ovarian cancer: A systems approach (MAS5, plier, GCRMA) Refer to individual Series
2011-07-28 | E-GEOD-23392 | biostudies-arrayexpress
Project description:miRNAs in ovarian cancer: A systems approach (miRNA data)
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Project description:miRNAs in ovarian cancer: A systems approach (mRNA data)
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Project description:miRNAs in ovarian cancer: A systems approach (MAS5, plier, GCRMA)
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Project description:Deregulated expression of miRNAs contributes to ovarian cancer. This study is aimed to identify which miRNAs are differentially expressed in Ovarian cancer compared to endometriosis
2015-07-30 | GSE71477 | GEO
Project description:Cancer stem cells (CSCs) are considered to play a central role in the cancer progression, metastasis and the development of drug resistance. MicroRNAs (miRNAs) have important roles in regulating CSC properties and are considered to be potential therapeutic targets. Diverse aberrantly expressed miRNAs have been reported in ovarian cancer cells. However, there have been few reports about miRNAs that were associated with stemness and progression of ovarian cancer. In this study, we enriched ovarian CSCs by using sphere culture of two ovarian cancer cell lines Kuramochi and SKOV3, and screened crucial miRNAs associated with characteristics and maintenance of CSCs by using miRNA nanoString nCounter assay.
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Project description:The aim of this study was to identify a set of miRNAs which are associated with chemotherapy resistance in ovarian cancer, and to evaluate if these miRNAs are enrich in small nanovesicles, called exosomes, released from ovarian cancer cells.
2021-05-25 | GSE114920 | GEO
Project description:MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. We report the results of a systems analysis of miRNA regulation in ovarian cancer. We found that 33 miRNAs are up-regulated and 9 down-regulated in CEPI relative to OSE (p<0.01, ≥2 fold change). Of these, 12 were previously annotated miRNAs (Sanger miRBase) of which 9 are up-regulated and 3 are down-regulated in CEPI relative to OSE. Current models predict that changes in levels of miRNAs will be inversely correlated with changes in the levels of targeted mRNAs due to miRNA regulation. This predicted inverse correlation held for only ~9% of predicted target mRNAs. Computational analyses indicate the unexpected low inverse correlation may be at least partially explained by variation in the number of miRNA binding sites within the 3’ UTRs of targeted mRNAs and by miRNA-mediated changes in levels of transcription factors that can exert overriding trans-regulatory controls on target loci. miRNAs were collected from three laser captured microdissected ovarian cancer epithelial (CEPI) samples. The miRNA expression pattern was compared with three healthy ovarian surface epithelia samples as controls using a custom-manufactured Affymetrix GeneChip® array.
2011-07-28 | E-GEOD-23383 | biostudies-arrayexpress
Project description:We compared miRNAs expression in mucinous ovarian cancer cell between treated with siPRKRA and contrl siRNA. We hypothesize that PRKRA regulates chemosensitivity in mucinous ovarian cancer. Therefore, we aim to idetify the PRKRA-mediated miRNA which regulate chemosensitivity in mucinous ovarian cancer.
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2020-11-20 | GSE161784 | GEO