Bioinformatics analysis of differentially expressed genes in hepatocellular carcinoma cells exposed to Swertiamarin
Tang, Haoran1; Ke, Yang2; Ren, Zongfang3; Lei, Xuefen4; Xiao, Shufeng2; Bao, Tianhao5; Shi, Zhitian2; Zou, Renchao2; Wu, Tiangen2; Zhou, Jian2; Geng, Chang-An6; Wang, Lin2; Chen, Jijun6
通讯作者Wang, Lin(linwang0705@126.com) ; Chen, Jijun(chenjj@mail.kib.ac.cn)
2019
发表期刊JOURNAL OF CANCER
ISSN1837-9664
卷号10期号:26页码:6526-6534
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.
关键词swertiamarin microarray HepG2 cells hepatocellular cancer Jun Stat3
DOI10.7150/jca.33666
收录类别SCI ; SCI
语种英语
WOS记录号WOS:000512664800006
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.kib.ac.cn/handle/151853/70822
专题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.Kunming Med Univ, Dept Gastroenterol Surg, Affiliated Hosp 2, Kunming, Yunnan, Peoples R China
2.Kunming Med Univ, Dept Hepatobiliary Surg, Affiliated Hosp 2, Kunming, Yunnan, Peoples R China
3.Kunming Med Univ, Dept Crit Care Med, Affiliated Hosp 2, Kunming, Yunnan, Peoples R China
4.Kunming Med Univ, Dept Oncol, Affiliated Hosp 2, Kunming, Yunnan, Peoples R China
5.Kunming Med Univ, Mental Hlth Ctr, Kunming, Yunnan, Peoples R China
6.Chinese Acad Sci, Kunming Inst Bot, State Key Lab Phytochem & Plant Resources West Ch, Kunming 650201, Yunnan, Peoples R China
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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.
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