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一种用于解析NIH/3T3小鼠胚胎成纤维细胞中致癌性H-Ras蛋白网络的蛋白质组学方法。

A proteomic approach for unraveling the oncogenic H-Ras protein networks in NIH/3T3 mouse embryonic fibroblast cells.

作者信息

Park Jung Wook, Kim Seyoon, Lim Kook Jin, Simpson Richard J, Kim Yu Sam, Bahk Young Yil

机构信息

Department of Biochemistry, College of Science, Yonsei University, Seoul, Korea.

出版信息

Proteomics. 2006 Feb;6(4):1175-86. doi: 10.1002/pmic.200500405.

Abstract

To elucidate the oncogenic H-Ras network, we have established various stable and inducible oncogenic H-Ras-expressing NIH/3T3 mouse embryonic fibroblast cell clones, which express G12V H-Ras and G12R H-Ras proteins under the influence of a strong cytomegalovirus promoter and under the tight control of expression by an antibiotic, doxycycline, respectively. Here we provide a catalogue of proteome profiles in total cell lysates derived from oncogenic H-Ras-expressing NIH/3T3 cells. In this biological context, we compared total proteome changes by the combined methods of 2-DE, quantitative image analysis and MALDI-TOF MS analysis using both a stable expression system as well as an inducible expression system. There were a large number of common targets for oncogenic H-Ras, which were identified in both cell lines and consisted of 64 proteins (36 up-regulated and 28 down-regulated). Differentially regulated expression was further confirmed for some subsets of candidates by Western blot analysis using specific antibodies. Taken together, the results presented here show that comparative analysis of the proteome from the oncogenic H-Ras-expressing cells yielded interpretable data to elucidate protein networks directly and/or indirectly.

摘要

为阐明致癌性H-Ras网络,我们建立了多种稳定和可诱导表达致癌性H-Ras的NIH/3T3小鼠胚胎成纤维细胞克隆,这些克隆分别在强巨细胞病毒启动子的影响下以及在抗生素强力霉素的严格表达控制下表达G12V H-Ras和G12R H-Ras蛋白。在此,我们提供了源自表达致癌性H-Ras的NIH/3T3细胞的总细胞裂解物中的蛋白质组图谱目录。在这种生物学背景下,我们使用稳定表达系统以及诱导表达系统,通过二维电泳、定量图像分析和基质辅助激光解吸电离飞行时间质谱分析的组合方法比较了总蛋白质组的变化。致癌性H-Ras有大量共同靶点,在两种细胞系中均被鉴定出来,共64种蛋白质(36种上调和28种下调)。通过使用特异性抗体的蛋白质印迹分析,进一步证实了一些候选蛋白亚组的差异调节表达。综上所述,此处呈现的结果表明,对表达致癌性H-Ras细胞的蛋白质组进行比较分析产生了可解释的数据以直接和/或间接阐明蛋白质网络。

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