Dataset Information

OVCAR-3 Cells: Control vs. FBA-TPQ treated

ABSTRACT: The study was designed to determine the biological effects of novel marine alkaloid analog, FBA-TPQ on human ovarian cancer cells for its anti-tumor potential and the underlying mechanisms as a novel chemotherapeutic agent. Transcriptional profiling of human ovarian cancer cells comparing control vehicle-treated OVCAR-3(a human ovarian cancer cell line) cells with OVCAR-3 cells treated with 1000nM FBA-TPQ for 24 hours. Goal was to determine the effects of FBA-TPQ on global OVCAR-3 cells gene expression.

ORGANISM(S): Homo sapiens

PROVIDER: GSE25317 | GEO | 2011/11/12

SECONDARY ACCESSION(S): PRJNA134955

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Recently, multicellular spheroids were isolated from a well-established epithelial ovarian cancer cell line, OVCAR-3, and were propagated in vitro. These spheroid derived cells displayed numerous hallmarks of cancer stem cells, which are chemo and radioresistant cells thought to be a significant cause of cancer recurrence and resultant mortality. Gene set enrichment analysis of expression data from the OVCAR-3 cells and the spheroid-derived putative cancer stem cells identified several metabolic pathways enriched in differentially expressed genes. Before this, there had been little previous knowledge or investigation of systems-scale metabolic differences between cancer cells and cancer stem cells, and no knowledge of such differences in ovarian cancer stem cells. To determine if there were substantial metabolic changes corresponding with these transcriptional differences, we used two-dimensional gas chromatography coupled to mass spectrometry to measure the metabolite profiles of the two cell lines. These two cell lines exhibited significant metabolic differences in both intracellular and extracellular metabolite measurements. Principal components analysis, an unsupervised dimensional reduction technique, showed complete separation between the two cell types based on their metabolite profiles. Pathway analysis of intracellular metabolomics data revealed close overlap with metabolic pathways identified from gene expression data, with four out of six pathways found enriched in gene-level analysis also enriched in metabolite-level analysis. Some of those pathways contained multiple metabolites that were individually statistically significantly different between the two cell lines, with one of the most broadly and consistently different pathways, arginine and proline metabolism, suggesting an interesting hypothesis about cancerous and stem-like metabolic phenotypes in this pair of cell lines. Overall, we demonstrate for the first time that metabolism in an ovarian cancer stem cell line is distinct from that of more differentiated isogenic cancer cells, supporting the potential importance of metabolism in the differences between cancer cells and cancer stem cells.

Dataset Information

OVCAR-3 Cells: Control vs. FBA-TPQ treated

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure