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通过质量同位素异构体比率选择利用重水标记测定蛋白质周转率的改进方法。

Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio Selection.

作者信息

Currie Jordan, Ng Dominic C M, Pandi Boomathi, Black Alexander, Manda Vyshnavi, Durham Cheyanne, Pavelka Jay, Lam Maggie P Y, Lau Edward

机构信息

Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.

Consortium for Fibrosis Research and Translation, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.

出版信息

J Proteome Res. 2025 Apr 4;24(4):1992-2005. doi: 10.1021/acs.jproteome.4c01012. Epub 2025 Mar 18.

DOI:10.1021/acs.jproteome.4c01012
PMID:40100644
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11977540/
Abstract

The synthesis and degradation rates of proteins form an essential component of gene expression control. Heavy water labeling has been used in conjunction with mass spectrometry to measure protein turnover rates, but the optimal analytical approaches to derive turnover rates from the mass isotopomer patterns of deuterium-labeled peptides continue to be a subject of research. Here, we describe a method that comprises (1) a nearest lookup of numerically approximated peptide isotope envelopes, coupled to (2) the selection of optimal mass isotopomer pairs based on peptide sequence rules, to calculate the molar fraction of new peptide synthesis in heavy water labeling mass spectrometry experiments. We validated our approach using an experimental calibration standard comprising mixtures of fully unlabeled and fully labeled proteomes. We then reanalyzed 17 proteome-wide turnover experiments from four mouse organs across multiple data sets and showed that the combined nearest-lookup and rule-based mass isotopomer ratio selection method increases the coverage of well-fitted peptides in protein turnover experiments by up to 58 ± 13%. The workflow is implemented in the Riana software tool for protein turnover analysis and may avail ongoing efforts to study the synthesis and degradation kinetics of proteins in animals on a proteome-wide scale.

摘要

蛋白质的合成与降解速率是基因表达调控的重要组成部分。重水标记已与质谱联用用于测量蛋白质周转率,但从氘标记肽的质量同位素异构体模式推导周转率的最佳分析方法仍是一个研究课题。在此,我们描述了一种方法,该方法包括:(1)对数值近似的肽同位素包络进行最近邻查找,以及(2)基于肽序列规则选择最佳质量同位素异构体对,以计算重水标记质谱实验中新肽合成的摩尔分数。我们使用由完全未标记和完全标记蛋白质组的混合物组成的实验校准标准验证了我们的方法。然后,我们重新分析了来自四个小鼠器官的17个全蛋白质组周转率实验的多个数据集,结果表明,结合最近邻查找和基于规则的质量同位素异构体比率选择方法,可使蛋白质周转率实验中拟合良好的肽的覆盖率提高多达58±13%。该工作流程在用于蛋白质周转率分析的Riana软件工具中实现,可能有助于在全蛋白质组范围内研究动物体内蛋白质的合成和降解动力学的现有工作。

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本文引用的文献

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A large-scale LC-MS dataset of murine liver proteome from time course of heavy water metabolic labeling.大尺度 LC-MS 数据集:来自氘水代谢标记的鼠肝蛋白质组时程研究。
Sci Data. 2023 Sep 19;10(1):635. doi: 10.1038/s41597-023-02537-w.
2
Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling.通过重水代谢标记对两种质量同位素异构体的标记富集进行定量,可提高体内蛋白质周转率的蛋白质组覆盖率。
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UniProt:2023 年的通用蛋白质知识库。
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Proteomic signatures of acute oxidative stress response to paraquat in the mouse heart.急性百草枯诱导的小鼠心脏氧化应激反应的蛋白质组学特征。
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Partial Isotope Profiles Are Sufficient for Protein Turnover Analysis Using Closed-Form Equations of Mass Isotopomer Dynamics.采用质量同位素分馏动力学闭式方程,部分同位素分布图谱足以用于蛋白质周转率分析。
Anal Chem. 2020 Nov 3;92(21):14747-14753. doi: 10.1021/acs.analchem.0c03343. Epub 2020 Oct 21.
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Philosopher: a versatile toolkit for shotgun proteomics data analysis.哲学家:用于鸟枪法蛋白质组学数据分析的多功能工具包。
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