Department of Gastroenterology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P.R. China.
Department of Gastroenterology, Shanghai General Hospital, Shanghai, 200060, P.R. China.
Sci Rep. 2016 Nov 22;6:37478. doi: 10.1038/srep37478.
Protein lysine acetylation and succinylation play important regulatory roles in cells, both of which or each other has a close relationship. Dichloroacetate (DCA), a well-known pyruvate dehydrogenase kinase (PDK) inhibitor, has the potential to be used as anti-cancer drugs for several tumors including colorectal cancer. However, little is known about the potential mechanism of DCA-based cancer therapy by protein posttranslational modifications (PTM) including global proteome, acetylome and succinylome. Here the combinations with stable isotope labeling (SILAC), antibody affinity enrichment and high resolution LC-MS/MS analysis were performed in human colon cancer HCT116 cells. The quantifiable proteome was annotated using bioinformatics. In total, 4,518 proteins, 1,436 acetylation sites, and 671 succinylation sites were quantified, respectively to DCA treatment. Among the quantified acetylated sites, 158 were with increased level (quantification ratio >1.5) and 145 with decreased level (quantification ratio <0.67). Meanwhile, 179 up-regulated and 114 down-regulated succinylated sites were identified. The bioinformatics analyses initially showed acetylation and succinylation were involved in a wide range of cellular functions upon DCA-based anti-cancer effects. Notably, protein-protein interaction network analyses demonstrated widespread interactions modulated by protein acetylation and succinylation. Taken together, this study may shed a light on understanding the mechanism of DCA-based cancer treatment.
蛋白质赖氨酸乙酰化和琥珀酰化在细胞中发挥着重要的调节作用,两者之间或彼此之间有着密切的关系。二氯乙酸(DCA),一种众所周知的丙酮酸脱氢酶激酶(PDK)抑制剂,有可能被用于包括结直肠癌在内的几种肿瘤的抗癌药物。然而,对于基于 DCA 的癌症治疗通过蛋白质翻译后修饰(PTM),包括全蛋白质组、乙酰化组和琥珀酰化组的潜在机制,人们知之甚少。在这里,在人结肠癌细胞 HCT116 中,使用稳定同位素标记(SILAC)、抗体亲和富集和高分辨率 LC-MS/MS 分析进行了组合。使用生物信息学对可定量的蛋白质组进行注释。在 DCA 处理后,分别定量了 4518 种蛋白质、1436 个乙酰化位点和 671 个琥珀酰化位点。在定量的乙酰化位点中,有 158 个上调(定量比>1.5),145 个下调(定量比<0.67)。同时,鉴定出 179 个上调和 114 个下调的琥珀酰化位点。生物信息学分析初步表明,乙酰化和琥珀酰化参与了 DCA 基于抗癌作用的广泛的细胞功能。值得注意的是,蛋白质-蛋白质相互作用网络分析表明,蛋白质乙酰化和琥珀酰化广泛调节相互作用。总之,这项研究可能有助于理解基于 DCA 的癌症治疗机制。