Transcriptome analysis of phycocyanin inhibitory effects on SKOV-3 cell proliferation

被引:35
|
作者
Ying, Jun [1 ]
Wang, Jian [1 ,2 ]
Ji, Huijuan [1 ,2 ]
Lin, Chaoqing [1 ,2 ]
Pan, Ruowang [3 ]
Zhou, Li [1 ]
Song, Yulong [4 ,5 ]
Zhang, Enyong [3 ]
Ren, Ping [1 ]
Chen, Jishun [1 ]
Liu, Qian [1 ]
Xu, Teng [1 ]
Yi, Huiguang [1 ]
Li, Jinsong [1 ]
Bao, Qiyu [1 ]
Hu, Yunliang [1 ,2 ]
Li, Peizhen [1 ]
机构
[1] Wenzhou Med Univ, Sch Lab Med & Life Sci, Inst Biomed Informat, Wenzhou 325035, Peoples R China
[2] Wenzhou Med Univ, Affiliated Hosp 2, Wenzhou 325000, Peoples R China
[3] PLA, Hosp 118, Wenzhou 325000, Peoples R China
[4] Chinese Acad Sci, Inst Hydrobiol, Wuhan, Peoples R China
[5] Univ Chinese Acad Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Phycocyanin; SKOV-3; cell; Cell proliferation; RNA-seq; qRT-PCR; C-PHYCOCYANIN; IN-VITRO; CANCER; EXPRESSION; APOPTOSIS; GENE; THERAPY;
D O I
10.1016/j.gene.2016.03.023
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Phycocyanin (PC) from Spirulina platensis has inhibitory effects on tumor cell growth. In this research, the transcriptome study was designed to investigate the underlying molecular mechanisms of PC inhibition on human ovarian cancer cell SKOV-3 proliferation. The PC IC50 was 216.6 mu M and 163.8 mu M for 24 h and 48 h exposure, respectively, as determined by CCK-8 assay. The morphological changes of SKOV-3 cells after PC exposure were recorded using HE staining. Cells arrested in G(2)/M stages as determined by flow cytometry. The transcriptome analysis showed that 2031 genes (with > three-fold differences) were differentially expressed between the untreated and the PC-treated cells, including 1065 up-regulated and 966 down-regulated genes. Gene ontology and KEGG pathway analysis identified 18 classical pathways that were remarkably enriched, such as neurotrophin signaling pathway, VEGF signaling pathway and P53 signaling pathway. ciPCR results further showed that PTPN12, S100A2, RPL26, and LAMA3 increased while HNRNPA1P10 decreased in PC-treated cells. Molecules and genes in those pathways may be potential targets to develop treatments for ovarian cancer. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:58 / 64
页数:7
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