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

Overview of attention for article published in OncoTargets and therapy, July 2017
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Title
RNA sequencing identifies gene expression profile changes associated with β-estradiol treatment in U2OS osteosarcoma cells
Published in
OncoTargets and therapy, July 2017
DOI 10.2147/ott.s135396
Pubmed ID
Authors

Bin Chen, Zude Liu, Jidong Zhang, Hantao Wang, Bo Yu

Abstract

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 (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 β-catenin and morphogenesis in U2OS osteosarcoma cells.

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Mendeley readers

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The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Student > Ph. D. Student 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Chemistry 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 July 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#2,078
of 3,016 outputs
Outputs of similar age
#286,158
of 326,871 outputs
Outputs of similar age from OncoTargets and therapy
#60
of 72 outputs
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