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基于重水代谢标记和肽串联质谱的蛋白质组动力学

Proteome Dynamics from Heavy Water Metabolic Labeling and Peptide Tandem Mass Spectrometry.

作者信息

Borzou Ahmad, Sadygov Vugar R, Zhang William, Sadygov Rovshan G

机构信息

Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University of Blvd, Galveston, TX 77555.

Clear Creek High School, 2305 E. Main St., League City, TX 77573.

出版信息

Int J Mass Spectrom. 2019 Nov;445. doi: 10.1016/j.ijms.2019.116194. Epub 2019 Jul 27.

DOI:10.1016/j.ijms.2019.116194
PMID:32055233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7017751/
Abstract

Protein homeostasis (proteostasis) is a result of a dynamic equilibrium between protein synthesis and degradation. It is important for healthy cell/organ functioning and is often associated with diseases such as neurodegenerative diseases and non-Alcoholic Fatty Liver disease. Heavy water metabolic labeling, combined with liquid-chromatography and mass spectrometry (LC-MS), is a powerful approach to study proteostasis in high throughput. Traditionally, intact peptide signals are used to estimate stable isotope incorporation in time-course experiments. The time-course of label incorporation is used to extract protein decay rate constant (DRC). Intact peptide signals, computed from integration in chromatographic time and mass-to-charge ratio (m/z) domains, usually, provide an accurate estimate of label incorporation. However, sample complexity (co-elution), limited dynamic range, and low signal-to-noise ratio (S/N) may adversely interfere with the peptide signals. These artifacts complicate the DRC estimations by distorting peak shape in chromatographic time and m/z domains. Fragment ions, on the other hand, are less prone to these artifacts and are potentially well suited in aiding DRC estimations. Here, we show that the label incorporation encoded into the isotope distributions of fragment ions reflect the isotope enrichment during the metabolic labeling with heavy water. We explore the label incorporation statistics for devising practical approaches for DRC estimations.

摘要

蛋白质稳态(蛋白质动态平衡)是蛋白质合成与降解之间动态平衡的结果。它对于健康的细胞/器官功能很重要,并且常与神经退行性疾病和非酒精性脂肪肝病等疾病相关。重水代谢标记与液相色谱和质谱联用(LC-MS),是一种用于高通量研究蛋白质稳态的强大方法。传统上,在时间进程实验中,完整肽信号用于估计稳定同位素掺入情况。标记掺入的时间进程用于提取蛋白质降解速率常数(DRC)。从色谱时间和质荷比(m/z)域积分计算得到的完整肽信号通常能准确估计标记掺入情况。然而,样品复杂性(共洗脱)、有限的动态范围和低信噪比(S/N)可能会对肽信号产生不利干扰。这些假象通过扭曲色谱时间和m/z域中的峰形,使DRC估计变得复杂。另一方面,碎片离子受这些假象的影响较小,可能非常适合辅助DRC估计。在这里,我们表明,编码在碎片离子同位素分布中的标记掺入反映了重水代谢标记期间的同位素富集情况。我们探索标记掺入统计数据,以设计DRC估计的实用方法。