Dataset Information

RNA sequencing identifies gene expression profile changes associated with ?-estradiol treatment in U2OS osteosarcoma cells.

ABSTRACT: This study was conducted to identify gene expression profile changes associated with ?-estradiol (E2) treatment in U2OS osteosarcoma cells by high-throughput RNA sequencing (RNA-seq). Two U2OS cell samples treated with E2 (15 ?mol/L) and two untreated control U2OS cell samples were subjected to RNA-seq. Differentially expressed genes (DEGs) between the groups were identified, and main biological process enrichment was performed using gene ontology (GO) analysis. A protein-protein interaction (PPI) network was constructed using Cytoscape based on the Human Protein Reference Database. Finally, NFKB1 expression was confirmed by quantitative real-time polymerase chain reaction (qRT-PCR). The map ratios of the four sequenced samples were >65%. In total, 128 upregulated and 92 downregulated DEGs were identified in E2 samples. After GO enrichment, the downregulated DEGs, such as AKT1, were found to be mainly enriched in cell cycle processes, whereas the upregulated DEGs, such as NFKB1, were involved in the regulation of gene expression. Moreover, AKT1 (degree =117) and NFKB1 (degree =72) were key nodes with the highest degrees in the PPI network. Similarly, the results of qRT-PCR confirmed that E2 upregulated NFKB1 expression. The results suggest that E2 upregulates the expression of NFKB1, ATF7IP, and HDAC5, all of which are involved in the regulation of gene expression and transcription, but downregulates that of TCF7L2, ALCAM, and AKT, which are involved in Wnt receptor signaling through ?-catenin and morphogenesis in U2OS osteosarcoma cells.

SUBMITTER: Chen B

PROVIDER: S-EPMC5513876 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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RNA sequencing identifies gene expression profile changes associated with β-estradiol treatment in U2OS osteosarcoma cells.

Chen Bin B Liu Zude Z Zhang Jidong J Wang Hantao H Yu Bo B

OncoTargets and therapy 20170711

This study was conducted to identify gene expression profile changes associated with β-estradiol (E2) treatment in U2OS osteosarcoma cells by high-throughput RNA sequencing (RNA-seq). Two U2OS cell samples treated with E2 (15 μmol/L) and two untreated control U2OS cell samples were subjected to RNA-seq. Differentially expressed genes (DEGs) between the groups were identified, and main biological process enrichment was performed using gene ontology (GO) analysis. A protein-protein interaction (PP ...[more]

PMID: 28744146

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Project description:The molecular circadian clock, which controls rhythmic 24-hour oscillation of genes, proteins, and metabolites, is disrupted across many human cancers. Deregulated expression of MYC oncoprotein has been shown to alter expression of molecular clock genes, leading to a disruption of molecular clock oscillation across cancer types. However, it remained unclear how this loss of molecular clock oscillation impacted global gene expression and metabolism in cancer, and what benefit cancer cells might gain from suppressing clock oscillation. We hypothesized that MYC suppresses oscillation of gene expression and metabolism to instead upregulate pathways involved in biosynthesis in a static, non-oscillatory fashion. To test this, we utilized cells from distinct cancer types with inducible MYC or the closely related N-MYC to determine, using detailed time-series RNA-sequencing and metabolomics, the extent to which MYC activation disrupts global oscillation of genes, gene expression, programs, and metabolites. We focused our analyses on genes, pathways, and metabolites that changed in common across multiple cancer cell line models. We report here that MYC disrupted over 85% of oscillating genes, while instead promoting enhanced ribosomal and mitochondrial biogenesis and suppressed cell attachment pathways. Notably, when MYC is activated, biosynthetic programs that were formerly circadian flipped to being upregulated in an oscillation-free manner. Further, activation of MYC ablates the oscillation of nutrient transporter glycosylation while greatly upregulating transporter expression, cell surface localization, and intracellular amino acid pools. Finally, we report that MYC disrupts metabolite oscillations and the temporal segregation of amino acid metabolism from nucleotide metabolism. Our results demonstrate that MYC disruption of the molecular circadian clock releases metabolic and biosynthetic processes from circadian control, which may provide a distinct advantage to cancer cells.

Dataset Information

RNA sequencing identifies gene expression profile changes associated with ?-estradiol treatment in U2OS osteosarcoma cells.

Publications

RNA sequencing identifies gene expression profile changes associated with β-estradiol treatment in U2OS osteosarcoma cells.

Similar Datasets

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