Bioinformatics analysis of differentially expressed genes in hepatocellular carcinoma cells exposed to Swertiamarin

doi:10.7150/jca.33666

CORC > 昆明植物研究所 > 中国科学院昆明植物研究所 > 植物化学与西部植物资源持续利用国家重点实验室

	Bioinformatics analysis of differentially expressed genes in hepatocellular carcinoma cells exposed to Swertiamarin
	Tang, Haoran 2; Ke, Yang 3; Ren, Zongfang 4; Lei, Xuefen 5; Xiao, Shufeng 3; Bao, Tianhao 6; Shi, Zhitian 3; Zou, Renchao 3; Wu, Tiangen 3; Zhou, Jian 3
刊名	JOURNAL OF CANCER
	2019
卷号	10 期号:26 页码:6526-6534
关键词	swertiamarin microarray HepG2 cells hepatocellular cancer Jun Stat3
ISSN号	1837-9664
DOI	10.7150/jca.33666
通讯作者	Wang, Lin(linwang0705@126.com) ; Chen, Jijun(chenjj@mail.kib.ac.cn)
英文摘要	Aim: To explore gene expression profiling in hepatocellular carcinoma (HCC) cells exposed to swertiamarin. Methods: Cell viability, apoptosis and invasion were examined in HepG2 cells after swertiamarin treatment. Tumor growth of SK-Hep-1 cells xenografted in nude mice was monitored after swertiamarin treatment. Total RNA was isolated from HepG2 cells treated with swertiamarin for microarray analysis. The data of microarray were analyzed by bioinformatics. Results: Swertiamarin treatment decreased the viability and invasion while increased the apoptosis of HepG2 cells, and significantly inhibited the growth of SK-Hep-1 cells xenografted in nude mice. Pathway and biological process analysis of differentially expressed genes (DEGs) in swertiamarin treated HepG2 cells showed that PI3k-Akt was the most significant regulated pathway. 47 targets of swertiamarin were predicted by CGBVS while 21 targets were predicted by 3NN. Notably, 8 targets were predicted as the targets of swertiamarin by both programs, including two prominent targets JUN and STAT3. A large range of DEGs induced by swertiamarin could be regulated by JUN and STAT3. Conclusion: Swertiamarin treatment led to significant changes in the expression of a variety of genes that modulate cell survival, cell cycle progression, apoptosis, and invasion. Moreover, most of these genes can be clustered into pathway networks such as PI3K, JUN, STAT3, which are predicted targets of swertiamarin. Further confirmation of these targets will reveal the anti-tumor mechanisms of swertiamarin and facilitate the development of swertiamarin as a novel agent for cancer prevention and treatment.
WOS研究方向	Oncology
语种	英语
WOS记录号	WOS:000512664800006
内容类型	期刊论文
源URL	[http://ir.kib.ac.cn/handle/151853/70821]
专题	昆明植物研究所_植物化学与西部植物资源持续利用国家重点实验室
通讯作者	Wang, Lin; Chen, Jijun
作者单位	1.Chinese Acad Sci, Kunming Inst Bot, State Key Lab Phytochem & Plant Resources West Ch, Kunming 650201, Yunnan, Peoples R China 2.Kunming Med Univ, Dept Gastroenterol Surg, Affiliated Hosp 2, Kunming, Yunnan, Peoples R China 3.Kunming Med Univ, Dept Hepatobiliary Surg, Affiliated Hosp 2, Kunming, Yunnan, Peoples R China 4.Kunming Med Univ, Dept Crit Care Med, Affiliated Hosp 2, Kunming, Yunnan, Peoples R China 5.Kunming Med Univ, Dept Oncol, Affiliated Hosp 2, Kunming, Yunnan, Peoples R China 6.Kunming Med Univ, Mental Hlth Ctr, Kunming, Yunnan, Peoples R China
推荐引用方式 GB/T 7714	Tang, Haoran,Ke, Yang,Ren, Zongfang,et al. Bioinformatics analysis of differentially expressed genes in hepatocellular carcinoma cells exposed to Swertiamarin[J]. JOURNAL OF CANCER,2019,10(26):6526-6534.
APA	Tang, Haoran.,Ke, Yang.,Ren, Zongfang.,Lei, Xuefen.,Xiao, Shufeng.,...&Chen, Jijun.(2019).Bioinformatics analysis of differentially expressed genes in hepatocellular carcinoma cells exposed to Swertiamarin.JOURNAL OF CANCER,10(26),6526-6534.
MLA	Tang, Haoran,et al."Bioinformatics analysis of differentially expressed genes in hepatocellular carcinoma cells exposed to Swertiamarin".JOURNAL OF CANCER 10.26(2019):6526-6534.