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利用重质量同位素标记物进行重水代谢标记中的蛋白质周转率研究。

Using Heavy Mass Isotopomers for Protein Turnover in Heavy Water Metabolic Labeling.

机构信息

Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555, United States.

出版信息

J Proteome Res. 2021 Apr 2;20(4):2035-2041. doi: 10.1021/acs.jproteome.0c00873. Epub 2021 Mar 4.

Abstract

Metabolic labeling followed by LC-MS-based proteomics is a powerful tool to study proteome dynamics in high-throughput experiments both and High mass resolution and accuracy allow differentiation in isotope profiles and the quantification of partially labeled peptide species. Metabolic labeling duration introduces a time domain in which the gradual incorporation of labeled isotopes is recorded. Different stable isotopes are used for labeling. Labeling with heavy water has advantages because it is cost-effective and easy to use. The protein degradation rate constant has been modeled using exponential decay models for the relative abundances of mass isotopomers. The recently developed closed-form equations were applied to study the analytic behavior of the heavy mass isotopomers in the time domain of metabolic labeling. The predictions from the closed-form equations are compared with the practices that have been used to extract degradation rate constants from the time-course profiles of heavy mass isotopomers. It is shown that all mass isotopomers, except for the monoisotope, require data transformations to obtain the exponential depletion, which serves as a basis for the rate constant model. Heavy mass isotopomers may be preferable choices for modeling high-mass peptides or peptides with a high number of labeling sites. The results are also applicable to stable isotope labeling with other atom-based labeling agents.

摘要

代谢标记后结合基于 LC-MS 的蛋白质组学是一种强大的工具,可用于在高通量实验中研究蛋白质组动力学, 高质量分辨率和准确性允许区分同位素分布,并对部分标记的肽种类进行定量。代谢标记持续时间引入了一个时间域,其中记录了标记同位素的逐渐掺入。不同的稳定同位素用于标记。重水标记具有优势,因为它具有成本效益且易于使用。使用指数衰减模型对相对丰度的质量同量异位素进行了蛋白质降解速率常数建模。最近开发的封闭形式方程被应用于研究代谢标记时间域中重质同位素同量异位素的分析行为。封闭形式方程的预测与从重质同位素同量异位素的时程曲线中提取降解速率常数的实践进行了比较。结果表明,除单同位素外,所有质量同量异位素都需要进行数据转换才能获得指数衰减,这是速率常数模型的基础。重质同位素同量异位素可能是建模高质量肽或具有多个标记位点的肽的首选选择。结果也适用于基于其他原子的标记试剂的稳定同位素标记。

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