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
Corresponding AuthorWang, Lin(linwang0705@126.com) ; Chen, Jijun(chenjj@mail.kib.ac.cn)
2019
Source PublicationJOURNAL OF CANCER
ISSN1837-9664
Volume10Issue:26Pages:6526-6534
AbstractAim: 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.
Keywordswertiamarin microarray HepG2 cells hepatocellular cancer Jun Stat3
DOI10.7150/jca.33666
Indexed BySCI ; SCI
Language英语
WOS Research AreaOncology
WOS SubjectOncology
WOS IDWOS:000512664800006
Citation statistics
Document Type期刊论文
Identifierhttp://ir.kib.ac.cn/handle/151853/70822
Collection植物化学与西部植物资源持续利用国家重点实验室
Corresponding AuthorWang, Lin; Chen, Jijun
Affiliation1.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
Recommended Citation
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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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