Ovarian Cancer MicroRNA
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus Rattus norvegicus Homo sapiens
PROVIDER: GSE10150 | GEO | 2008/06/30
SECONDARY ACCESSION(S): PRJNA108223
REPOSITORIES: GEO
Similar Datasets
Project description:Comparison of various ovarian tumors and ovarian cell lines. Keywords: Various ovarian tumors and cell lines. Samples from ovarian tumors and ovarian cell lines were examined for their microRNA expression patterns.
2008-06-29 | E-GEOD-10150 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) represent a class of small non-coding RNAs that control gene expression by targeting mRNAs and triggering either translation repression or RNA degradation. Emerging evidence suggests the potential involvement of altered regulation of miRNA in the pathogenesis of cancers, and these genes are thought to function as both tumor suppressors and oncogenes. Using microRNA microarrays, we identify several miRNAs aberrantly expressed in human ovarian cancer tissues and cell lines. miR-221 stands out as a highly elevated miRNA in ovarian cancer, while miR-21 and several members of the let-7 family are found downregulated. Public databases were used to reveal potential targets for the highly differentially expressed miRNAs. In order to experimentally identify transcripts whose stability may be affected by the differentially expressed miRNAs, we transfected precursor miRNAs into human cancer cell lines and used oligonucleotide microarrays to examine changes in the mRNA levels. Keywords: Expression data from various ovarian cancer cell lines transfected with pre-microRNA.
2008-08-29 | GSE12615 | GEO
Project description:Schaner, M., et al. Mol Biol Cell. 2003 Nov;14(11):4376-86. Figure 1 Ovarian Cell Lines Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
2006-02-25 | GSE4197 | GEO
Project description:Schaner M., et al.; Mol Biol Cell. 2003 Nov;14(11):4376-86. Figure 1 Unsupervised hierarchical clustering of ovarian cell lines and ovarian cancers. Cell lines were not co-clustered with the tumor specimens, because these cell lines have a very prominent proliferation cluster (Perou et al., 1999; Ross et al., 2000) that significantly influences the clustering of the tumor samples if the two sample sets are not analyzed separately. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
2006-02-25 | GSE4198 | GEO
Project description:Comparison of ovarian cancer tissue and normal ovarian tissue to identify miRNA profiling.
2019-03-20 | GSE119055 | GEO
Project description:To investigate the microRNA profiles of ovarian clear cell carcinoma (OCCC), microRNA sequencing was performed using formalin-fixed, paraffin-embedded (FFPE) and fresh-frozen clinical samples. Moreover, patient-derived xenograft (PDX) tumors and cell lines were also investigated.
2022-04-16 | GSE200852 | GEO
Project description:MicroRNA profiling in resistance ovarian cell lines
| PRJNA623595 | ENA
Project description:Background: Tumor microenvironment is well known to have a key role in tumor development. Extracellular vesicles are capable in cell signaling transduction and important in regulation of tumor microenvironment. Objective: To investigate whether peritoneal fluid–derived extracellular vesicles help regulate the tumor microenvironment in the malignant transformation of endometriosis. Methods: Samples of peritoneal fluid were taken from women with benign gynecological disease, endometriosis, or endometriosis-associated ovarian cancer. Small extracellular vesicles in the samples were isolated via ultracentrifugation and characterized by western blotting, transmission electron microscopy, and nanoparticle tracking. A global microRNA (miRNA) expression profile array was used to analyze miRNA abundance in peritoneal fluid–derived small extracellular vesicles. Candidate miRNAs were quantified by reverse transcription PCR to assess their potential role in cell migration. Results: A total of 22 miRNAs were identified from the analysis of miRNAs in peritoneal fluid–derived small extracellular vesicles from patients with endometriosis or endometriosis-associated ovarian cancer. We confirmed that each miRNA was expressed in various ovarian cell lines. The miRNA miR-302f was consistently highly expressed in both clinical specimens and ovarian cell lines from patients with endometriosis, yet expression was relatively low in specimens and cell lines from patients with endometriosis-associated ovarian cancer. A bio-functional assay revealed that miR-302f regulates cell migration. Finally, the possible target mRNAs of miR-302f were identified in the Gene Expression Omnibus database. Conclusions: These data may provide a basis for the development of novel therapeutic strategies for endometriosis-associated ovarian cancer patients by downregulating PDGFRA abundance in cancer cells via overexpression of miR-302f.
2026-01-14 | GSE307729 | GEO
Project description:H3K27Ac of Ovarian Cancer Cell Lines
| PRJNA657252 | ENA
Project description:Ovarian cancer is a highly malignant gynecological tumor. Multidrug resistance (MDR) in tumors is a major reason for chemotherapy failure. Keratin 14 (KRT14), a member of the keratin family, plays a significant role across various cancers. Elevated KRT14 expression has been observed in ovarian cancer tissues compared to normal ovarian tissues, and this differential expression is associated with poorer progression-free survival in patients undergoing platinum and taxol-based chemotherapy. Furthermore, KRT14 expression is heightened in migratory ovarian cancer cells, where it plays a crucial role at the invasive interface, facilitating ovarian cancer cell invasion. The role of KRT14 in regulating MDR is not known. In this study, we aimed to investigate the effects and mechanisms of KRT14 in human cisplatin-resistant ovarian cancer cell lines SK-OV-3/DDP and A2780/DDP.
2025-04-17 | GSE276216 | GEO