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50. Pengfei Li, Zhifang Hao, Huanhuan Liu, Bojing Zhu, Liuyi Dang, Chen Ma, Yintai Xu, Yiyan Zhang, Daidi Fan, Shisheng Sun*. Quantitative Proteomics Analysis of Berberine-Treated Colon Cancer Cells Reveals Potential Therapy Targets. Biology (Basel). 2021, 10 (3): 250.
点击次数:
影响因子:5.079
DOI码:10.3390/biology10030250
关键字:berberine; colon cancer; potential targets; proteomics.
摘要:Colon cancer is one of the most lethal malignancies worldwide. Berberine has been found to exert potential anti-colon cancer activity in vitro and in vivo, although the detailed regulatory mechanism is still unclear. This study aims to identify the underlying crucial proteins and regulatory networks associated with berberine treatment of colon cancer by using proteomics as well as publicly available transcriptomics and tissue array data. Proteome profiling of berberine-treated colon cancer cells demonstrated that among 5130 identified proteins, the expression of 865 and 675 proteins were changed in berberine-treated HCT116 and DLD1 cells, respectively. Moreover, 54 differently expressed proteins that overlapped in both cell lines were mainly involved in mitochondrial protein synthesis, calcium mobilization, and metabolism of fat-soluble vitamins. Finally, GTPase ERAL1 and mitochondrial ribosomal proteins including MRPL11, 15, 30, 37, 40, and 52 were identified as hub proteins of berberine-treated colon cancer cells. These proteins have higher transcriptional and translational levels in colon tumor samples than that of colon normal samples, and were significantly down-regulated in berberine-treated colon cancer cells. Genetic dependency analysis showed that silencing the gene expression of seven hub proteins could inhibit the proliferation of colon cancer cells. This study sheds a light for elucidating the berberine-related regulatory signaling pathways in colon cancer, and suggests that ERAL1 and several mitochondrial ribosomal proteins might be promising therapeutic targets for colon cancer.
论文类型:期刊论文
学科门类:理学
一级学科:生物学
是否译文:否
收录刊物:SCI
上一条:51. Pengfei Li#, Zhifang Hao#, Jingyu Wu, Chen Ma, Yintai Xu, Jun Li, Rongxia Lan, Bojing Zhu, Pengyu Ren, Daidi Fan, Shisheng Sun*. Comparative Proteomic Analysis of Polarized Human THP-1 and Mouse RAW264. 7 Macrophages. Frontiers in immunology. 2021, 12: 700009.
下一条:49. Jianbo Pan#, Yingwei Hu#, Shisheng Sun#, Lijun Chen, Michael Schnaubelt, David Clark, Minghui Ao, Zhen Zhang, Daniel Chan, Jiang Qian, Hui Zhang*. Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer. Nature communications. 2020, 11 (1): 6139.