Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA128569 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:A microarray analysis was performed to compare the global gene expression profile between C-CPE treated- and untreated- SKOV-3 ovarian cancer cells.
2010-06-23 | GSE22421 | GEO
Project description:A microarray analysis was performed to compare the global gene expression profile between C-CPE treated- and untreated- SKOV-3 ovarian cancer cells. SKOV-3 cells were treated with or without C-CPE for 72 hours, and total RNA was extracted and microarray was perfomed to compare the gene profiling changes between C-CPE treated- and untreated- cells. The experiment was performed in triplicate.
2010-06-23 | E-GEOD-22421 | biostudies-arrayexpress
Project description:A microarray analysis was performed to compare the global gene expression profile between CLDN4-overexpressing (Control) and CLDN4-silencing SKOV-3 ovarian cancer cells.
2010-12-15 | GSE22493 | GEO
Project description:A microarray analysis was performed to compare the global gene expression profile between CLDN4-overexpressing (Control) and CLDN4-silencing SKOV-3 ovarian cancer cells. CLDN4 gene was knocked down by CLDN4 siRNA lentivirus. Total RNA was extracted and microarray was perfomed to compare the gene profiling changes between CLDN4-overexpressing (Control) and CLDN4-silencing cells. The experiment was performed in triplicate.
2010-12-15 | E-GEOD-22493 | biostudies-arrayexpress
Project description:Comparisons of the global gene profile between CLDN4-overexpressing and CLDN4-silencing ovarian cancer cells.
| PRJNA128653 | ENA
Project description:We sequenced the global transcriptome of human ovarian cancer cell line treated Vs untreated to identify the pathways and genes that are regulating the metabolite-induced invasion in ovarian cancer cells.
2017-08-15 | GSE87087 | GEO
Project description:With the onset of resistance, ovarian cancer cells display almost unpredictable adaptive potential. This may derive from genetic ancestry of the tumor cells and can be additionally tailored by post translational protein modifications (PTMs). The latter are profoundly shaped by the physical and chemical cues of the cancer microenvironment which, for ovarian cancer, is primarily the abdominal cavity. In this study, we took advantage of high-end proteome and phosphoproteome analyses combined with multiparametric morphometric profiling for the description of the proteome signatures of high-grade serous carcinomas (OVCAR-3) and non-serous carcinomas (SKOV-3) ovarian cancer cells. For the functional experiments, we applied two different protocols, representing typical stimuli of the peritoneal cavity and of the growing tumor mass: on the one side hypoxia (oxygen 1%) which develops within the tumor mass or is experienced during migration/extravasation in non-vascularized tissues. For comparison, fluid shear stress (2.8 dyn/cm2, orbital shaker method) which characterizes the tumor surface in peritoneal cavity or metastases spread in the bloodstream. After 3 hours incubation, treatment groups were clearly distinguishable by PCA analysis. Whereas basal proteome profile of SKOV-3 and OVCAR-3 cells appeared almost unchanged, phosphoproteome analysis revealed multiple regulations. These affected primarily cellular structure and proliferative potential and consolidated after 24h treatment. Albeit maintaining their individuality, hypoxia modified cell metabolism and morphology of both OVCAR-3 and SKOV-3: upon oxygen reduction cell size increased in concerted regulation of pathways related to Rho-GTPases and/or cytoskeletal elements (proteome and phosphoproteome). Also shear stress stimulation sharpened the response profile of SKOV-3 and OVCAR-3: this retraced their pathophysiological behavior and actively modified structural proteins as well as metabolism (e.g. delta(14)-sterol reductase, Kinesin-like proteins (KIF-22/20A) and Actin-related protein 2/3 complex). In conclusion, we characterized a biochemical and structural fingerprinting describing the adaptive potential of ovarian cancer cells to physical/chemical stressors typical for the abdominal cavity.
2022-01-13 | PXD027466 | Pride
Project description:Plant-derived secondary metabolites found in animal feed sources are beneficial for nutrition and health. Cowpea is a protein and phenolic-rich forage used as feed resource in animal system. The objective of this study was to understand the effect of cowpea secondary metabolites on gene expression in cows blood in vitro. Whole blood collected from Holstein Friesian cows (n=5) were treated with 10 ug/ml of cowpea leaf phenolic extract and untreated samples served as control. Total RNA was isolated and pooled together for microarray analysis. The Agilent one color bovine (v2) 4x44KÂ array was used and preliminary gene expression profiles generated using Cy3 labeled cDNA from CPE-stimulated and untreated samples. Gene expression analysis revealed a total of 3170 differentially expressed genes- 1716 up regulated and 1454 down regulated genes respectively. Pathway analysis identified CPE treatment association with innate immune response pathways including Toll-like receptor (TLR) signaling pathway, the Wnt signaling pathway, inflammation response pathway, and increased expression of the transcription factor NFKB1 were observed. Treatment with CPE decreased the expression of proinflammatory cytokines IL1A, IL1B and IL21. Quantitative real time PCR was performed to validate some gene members of the Toll-like receptor, inflammation response and Wnt signaling pathways. In vitro treatment with CPE impacted global gene expression profile in cow blood and results obtained in this study shows the potential immuno-modulatory properties of cowpea feed phenolic in cows. The global gene expression of the effect of cowpea phenolic extract (CPE) was measured in bovine peripheral blood.The experiment involved two groups; cowpea phenolic extract (CPE) treated samples vs untreated control group. Pooled RNA samples from each group was hybridized on Agilent one color bovine (v2) 4x44KÂ microarray slides. Two slides were prepared each with 4 array compartment.
2015-11-21 | E-GEOD-75239 | biostudies-arrayexpress
Project description:Analysis of change in transcriptosome after HBO1 knockdown in SKOV-3 ovarian cancer cell line
2019-02-01 | GSE89921 | GEO
Project description:Plant-derived secondary metabolites found in animal feed sources are beneficial for nutrition and health. Cowpea is a protein and phenolic-rich forage used as feed resource in animal system. The objective of this study was to understand the effect of cowpea secondary metabolites on gene expression in cows blood in vitro. Whole blood collected from Holstein Friesian cows were treated with 10 ug/ml of cowpea leaf phenolic extract and untreated samples served as control. Total RNA was isolated and pooled together for microarray analysis. The Agilent one color bovine (v2) 4x44K array was used and preliminary gene expression profiles generated using Cy3 labeled cDNA from CPE-stimulated and untreated samples. Gene expression analysis revealed a total of 3170 differentially expressed genes- 1716 up regulated and 1454 down regulated genes respectively. Pathway analysis identified CPE treatment association with innate immune response pathways including Toll-like receptor (TLR) signaling pathway, the Wnt signaling pathway, inflammation response pathway, and increased expression of the transcription factor NFKB1 were observed. Treatment with CPE decreased the expression of proinflammatory cytokines IL1A, IL1B and IL21. Quantitative real time PCR was performed to validate some gene members of the Toll-like receptor, inflammation response and Wnt signaling pathways. In vitro treatment with CPE impacted global gene expression profile in cow blood and results obtained in this study shows the potential immuno-modulatory properties of cowpea feed phenolic in cows.
2015-11-21 | GSE75239 | GEO