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使用同位素TMPP标记肽评估蛋白质定量的准确性。

Evaluation of the accuracy of protein quantification using isotope TMPP-labeled peptides.

作者信息

Shen Hongyan, An Mingrui, Zou Xiao, Zhao Xuyang, Wang Qingsong, Xing Guowen, Ji Jianguo

机构信息

State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, P. R. China.

Institute of Organic Chemistry, College of Chemistry, Beijing Normal University, Beijing, P. R. China.

出版信息

Proteomics. 2015 Sep;15(17):2903-9. doi: 10.1002/pmic.201400495. Epub 2015 Jun 11.

Abstract

N-succinimidyloxycarbonylmethyl tris(2,4,6-trimethoxyphenyl) phosphonium bromide (TMPP-Ac-OSu) reacts rapidly, mildly, and specifically with the N-terminals of proteins and peptides. Thus, it can be developed as an ideal isotope-coded tag to be used in quantitative proteomics. Here, we present a strategy for light and heavy TMPP-based quantitative proteomic analysis, in which peptides in a mixture can be quantified using an on-tip TMPP derivatization approach. To demonstrate the accuracy of this strategy, light and heavy TMPP-labeled peptides were combined at different ratios and subsequently analyzed by LC-MS/MS. The MS spectra and scatter plots show that peptide and protein ratios were both consistent with the mixed ratios. We observed a linear correlation between protein ratios and the predicted ratios. In comparison with SILAC method, the TMPP labeling method produced similarly accurate quantitative results with low CVs. In conclusion, our results suggest that this isotope-coded TMPP method achieved accurate quantification and compatibility with IEF-based separation. With the inherent advantages of TMPP derivatization, we believe that it holds great promise for future applications in quantitative proteomics analysis.

摘要

N-琥珀酰亚胺氧基羰基甲基三(2,4,6-三甲氧基苯基)溴化鏻(TMPP-Ac-OSu)能快速、温和且特异性地与蛋白质和肽的N端发生反应。因此,它可被开发成为用于定量蛋白质组学的理想同位素编码标签。在此,我们提出了一种基于TMPP的轻、重同位素定量蛋白质组学分析策略,其中混合物中的肽可通过原位TMPP衍生化方法进行定量。为证明该策略的准确性,将轻、重TMPP标记的肽以不同比例混合,随后通过LC-MS/MS进行分析。质谱图和散点图表明,肽和蛋白质的比例均与混合比例一致。我们观察到蛋白质比例与预测比例之间存在线性相关性。与SILAC方法相比,TMPP标记方法产生了类似的准确定量结果,且变异系数较低。总之,我们的结果表明,这种同位素编码的TMPP方法实现了准确的定量以及与基于IEF的分离的兼容性。鉴于TMPP衍生化的固有优势,我们相信它在未来的定量蛋白质组学分析应用中具有巨大潜力。

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