Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MicroRNAs in ovarian cancer cell spheroids

ABSTRACT: microRNAs in ovarian cancer cell spheroids

PROVIDER: PRJNA564047 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Gene profile in ovarian cancer cell spheroids

Project description:Gene profile in ovarian cancer cell spheroids

| PRJNA564046 | ENA

Genomic characterization of ovarian cancer spheroids

Project description:Spheroids are 3D multi-cell aggregates formed in non-addherent culture conditions. In ovarian cancer (OC), they serve as a vehicle for cancer cell dissemination in the peritoneal cavity. We investigated genes and networks upregulated in three dimensional (3D) versus two-dimensional (2D) culture conditions by Affymetrix gene expression profiling and identified ALDH1A1, a cancer stem cell marker as being upregulated in OC spheroids. Network analysis confirmed ALDH1A1 upregulation in spheroids in direct connection with elements of the beta-catenin pathway. A parallel increase in the expression levels of beta-catenin and ALDH1A1 was demonstrated in spheroids vs. monolayers an in successive spheroid generations by using OC cell liness and primary OC cells. The percentage of Aldefluor positive cells was significantly higher in spheroids vs. monolayers in IGROV1, A2780, SKOV3, and primary OC cells. B-catenin knock-down decreased ALDH1A1 expression and chromatin immunoprecipitation demonstrated that beta-catenin directly binds to the ALDH1A1 promoter. Both siRNA mediated beta-catenin knock-down and a novel ALDH1A1 small molecule enzymatic inhibitor described here for the first time, decreased the number of OC spheroids (p<0.001) and cell viability. These data strongly support the role of beta-catenin regulated ALDH1A1 in the maintenance of OC spheroids and of a stem cell phenotype and propose new ALDH1A1 inhibitors targeting this cell population. Different gene profiles were observed in ovarian cancer spheroids versus ovarian cancer monolayers. Nine samples were analyzed in triplicate. Each group is a reference.

2014-01-03 | E-GEOD-53759 | biostudies-arrayexpress

Effect of platelets on ovarian cancer cell spheroids

Project description:The effect of platelets on malignant cell growth was assessed on high-grade serous ovarian cancer cells grown in spheroids.

2021-05-13 | GSE155546 | GEO

Effect of platelets on ovarian cancer cell spheroids

Project description:Effect of platelets on ovarian cancer cell spheroids

| PRJNA650234 | ENA

Genomic characterization of ovarian cancer spheroids

Project description:Spheroids are 3D multi-cell aggregates formed in non-addherent culture conditions. In ovarian cancer (OC), they serve as a vehicle for cancer cell dissemination in the peritoneal cavity. We investigated genes and networks upregulated in three dimensional (3D) versus two-dimensional (2D) culture conditions by Affymetrix gene expression profiling and identified ALDH1A1, a cancer stem cell marker as being upregulated in OC spheroids. Network analysis confirmed ALDH1A1 upregulation in spheroids in direct connection with elements of the β-catenin pathway. A parallel increase in the expression levels of β-catenin and ALDH1A1 was demonstrated in spheroids vs. monolayers an in successive spheroid generations by using OC cell liness and primary OC cells. The percentage of Aldefluor positive cells was significantly higher in spheroids vs. monolayers in IGROV1, A2780, SKOV3, and primary OC cells. B-catenin knock-down decreased ALDH1A1 expression and chromatin immunoprecipitation demonstrated that β-catenin directly binds to the ALDH1A1 promoter. Both siRNA mediated β-catenin knock-down and a novel ALDH1A1 small molecule enzymatic inhibitor described here for the first time, decreased the number of OC spheroids (p<0.001) and cell viability. These data strongly support the role of β-catenin regulated ALDH1A1 in the maintenance of OC spheroids and of a stem cell phenotype and propose new ALDH1A1 inhibitors targeting this cell population.

2014-01-03 | GSE53759 | GEO

microRNAs in ovarian cancer cell spheroids

Project description:Cancer stem cells can self-renew, proliferate into differentiated cells, or enter a quiescent state and are regarded to cause chemoresistance and recurrence. Fresh tumor cells from three ovarian cancer patients were cultured to isolated spheroid-forming cells (SFC; cancer stem-like cells). The miRNAs that exhibited significant differential expression between SFCs and adherent cells were identified using miRNAs microarrays.

2019-09-06 | GSE136925 | GEO

The whole transcriptome expression profiling comparison between the ovarian cancer spheroids and monolayer cells

Project description:To discover the core gene expression features of ovarian cancer spheroids The compared the whole transcript expression profiling between 5 pairs of spheroids and monolayer cancer cells, including the RMG1, MCAS and Ov432 plus two cases of serous ovarian cancer ascites cells.

2017-08-31 | GSE60252 | GEO

Transcription profiling of human ovarian cancer cell lines grown as multicellular spheroids and treated with three chemotherapy drugs

Project description:Gene expression profiling of ovarian cancer spheroids upon treatment with three chemotherapy drugs

2008-05-06 | E-MEXP-1319 | biostudies-arrayexpress

Transcriptional profiling of ovarian cancer spheroids reveals genes and related biological pathways associated with cisplatin resistance

Project description:Characterization of differential gene expression due to cisplatin resistance in human ovarian cancer spheroids by microarray analysis. In this dataset, we include the expression data obtained from cisplatin-sensitive and cisplatin-resistant human ovarian cancer spheroids. These data are used to obtain 1316 genes that are differentially expressed in response to cisplatin resistance.

2015-12-01 | GSE45553 | GEO

Single cell-derived spheroids capture the self-renewing subpopulations of metastatic ovarian cancer

Project description:Single cell-derived spheroids capture the self-renewing subpopulations of metastatic ovarian cancer

| PRJEB72214 | ENA