Currie Jordan, Ng Dominic C M, Pandi Boomathi, Black Alexander, Manda Vyshnavi, Durham Cheyanne, Pavelka Jay, Lam Maggie P Y, Lau Edward
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.
J Proteome Res. 2025 Apr 4;24(4):1992-2005. doi: 10.1021/acs.jproteome.4c01012. Epub 2025 Mar 18.
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.
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。