Shen Jing, Chen Wenzhang, Yin Xuefeng, Yu Yingnian
Department of Pathology and Pathophysiology, Zhejiang University School of Medicine, Hangzhou 310058, China.
J Proteome Res. 2008 Jul;7(7):2999-3009. doi: 10.1021/pr800133q. Epub 2008 Jun 13.
We have previously shown that N-methyl- N'-nitro- N-nitrosoguanidine (MNNG), a well-known DNA alkylating agent and carcinogen, can induce multiple cellular responses with dynamic characteristics, including such responses as nontargeted mutations (NTM) at undamaged bases in DNA, up-regulation of low fidelity DNA polymerases, clustering of epidermal growth factor receptor (EGFR) and interference with its downstream signaling pathway. A dose-related analysis also revealed that different concentrations of MNNG can trigger diverse proteome changes associated with different cytotoxic effects. To further understand the dynamic cellular responses and hazardous effects caused by environmental carcinogen, a proteomic time-course study of whole cellular proteins from human amniotic epithelial cells after MNNG treatment was performed. Analysis at three different time points (3, 12 and 24 h after exposure) revealed that the major changes were taking place around 3 and 12 h after exposure. Using MALDI-TOF MS coupled with a micro solid-phase extraction (SPE) device, 90% ( n = 70) differentially expressed proteins were identified. Functional assignment revealed that many important pathways were affected, including the protein biosynthesis pathway and Ran GTPase system. We also carried out a network analysis of these proteins and the data suggest a central role for some key regulators in different pathways.
我们之前已经表明,N-甲基-N'-硝基-N-亚硝基胍(MNNG)是一种著名的DNA烷化剂和致癌物,它能诱导多种具有动态特征的细胞反应,包括DNA中未受损碱基的非靶向突变(NTM)、低保真DNA聚合酶的上调、表皮生长因子受体(EGFR)的聚集以及对其下游信号通路的干扰。剂量相关分析还表明,不同浓度的MNNG可引发与不同细胞毒性效应相关的多种蛋白质组变化。为了进一步了解环境致癌物引起的动态细胞反应和有害影响,我们对MNNG处理后的人羊膜上皮细胞全细胞蛋白质进行了蛋白质组时间进程研究。在三个不同时间点(暴露后3、12和24小时)进行的分析表明,主要变化发生在暴露后3至12小时左右。使用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)结合微固相萃取(SPE)装置,鉴定出了90%(n = 70)的差异表达蛋白质。功能分析表明,许多重要通路受到影响,包括蛋白质生物合成通路和Ran GTPase系统。我们还对这些蛋白质进行了网络分析,数据表明一些关键调节因子在不同通路中发挥着核心作用。