Li Pengfei, Hao Zhifang, Liu Huanhuan, Zhu Bojing, Dang Liuyi, Ma Chen, Xu Yintai, Zhang Yiyan, Fan Daidi, Sun Shisheng
College of Life Sciences, Northwest University, Xi'an 710069, China.
Shaanxi Key Laboratory of Degradable Biomedical Materials, School of Chemical Engineering, Northwest University, Xi'an 710069, China.
Biology (Basel). 2021 Mar 23;10(3):250. doi: 10.3390/biology10030250.
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.
结肠癌是全球最致命的恶性肿瘤之一。尽管具体的调控机制仍不清楚,但已发现小檗碱在体外和体内均具有潜在的抗结肠癌活性。本研究旨在通过蛋白质组学以及公开可用的转录组学和组织阵列数据,确定与小檗碱治疗结肠癌相关的关键蛋白和调控网络。对小檗碱处理的结肠癌细胞进行蛋白质组分析表明,在鉴定出的5130种蛋白质中,小檗碱处理的HCT116和DLD1细胞中分别有865种和675种蛋白质的表达发生了变化。此外,在两种细胞系中重叠的54种差异表达蛋白主要参与线粒体蛋白质合成、钙动员和脂溶性维生素代谢。最后,GTP酶ERAL1和线粒体核糖体蛋白(包括MRPL11、15、30、37、40和52)被确定为小檗碱处理的结肠癌细胞的核心蛋白。这些蛋白在结肠肿瘤样本中的转录和翻译水平高于结肠正常样本,并且在小檗碱处理的结肠癌细胞中显著下调。基因依赖性分析表明,沉默七种核心蛋白的基因表达可抑制结肠癌细胞的增殖。本研究为阐明结肠癌中与小檗碱相关的调控信号通路提供了线索,并表明ERAL1和几种线粒体核糖体蛋白可能是结肠癌有前景的治疗靶点。