Wang Xiaoshi, Yuan Zuo-Fei, Fan Jing, Karch Kelly R, Ball Lauren E, Denu John M, Garcia Benjamin A
From the ‡Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104;
§Department of Biomolecular Chemistry, University of Wisconsin, Madison, Wisconsin 53715;
Mol Cell Proteomics. 2016 Jul;15(7):2462-75. doi: 10.1074/mcp.O115.049627. Epub 2016 Apr 25.
Over the past decades, protein O-GlcNAcylation has been found to play a fundamental role in cell cycle control, metabolism, transcriptional regulation, and cellular signaling. Nevertheless, quantitative approaches to determine in vivo GlcNAc dynamics at a large-scale are still not readily available. Here, we have developed an approach to isotopically label O-GlcNAc modifications on proteins by producing (13)C-labeled UDP-GlcNAc from (13)C6-glucose via the hexosamine biosynthetic pathway. This metabolic labeling was combined with quantitative mass spectrometry-based proteomics to determine protein O-GlcNAcylation turnover rates. First, an efficient enrichment method for O-GlcNAc peptides was developed with the use of phenylboronic acid solid-phase extraction and anhydrous DMSO. The near stoichiometry reaction between the diol of GlcNAc and boronic acid dramatically improved the enrichment efficiency. Additionally, our kinetic model for turnover rates integrates both metabolomic and proteomic data, which increase the accuracy of the turnover rate estimation. Other advantages of this metabolic labeling method include in vivo application, direct labeling of the O-GlcNAc sites and higher confidence for site identification. Concentrating only on nuclear localized GlcNAc modified proteins, we are able to identify 105 O-GlcNAc peptides on 42 proteins and determine turnover rates of 20 O-GlcNAc peptides from 14 proteins extracted from HeLa nuclei. In general, we found O-GlcNAcylation turnover rates are slower than those published for phosphorylation or acetylation. Nevertheless, the rates widely varied depending on both the protein and the residue modified. We believe this methodology can be broadly applied to reveal turnovers/dynamics of protein O-GlcNAcylation from different biological states and will provide more information on the significance of O-GlcNAcylation, enabling us to study the temporal dynamics of this critical modification for the first time.
在过去几十年中,人们发现蛋白质O-连接的N-乙酰葡糖胺化在细胞周期调控、代谢、转录调控和细胞信号传导中发挥着重要作用。然而,大规模测定体内GlcNAc动态变化的定量方法仍然难以获得。在此,我们开发了一种方法,通过己糖胺生物合成途径从(13)C6-葡萄糖产生(13)C标记的UDP-GlcNAc,对蛋白质上的O-GlcNAc修饰进行同位素标记。这种代谢标记与基于定量质谱的蛋白质组学相结合,以确定蛋白质O-GlcNAcylation的周转率。首先,利用苯硼酸固相萃取和无水二甲基亚砜开发了一种高效的O-GlcNAc肽富集方法。GlcNAc的二醇与硼酸之间的近化学计量反应显著提高了富集效率。此外,我们的周转率动力学模型整合了代谢组学和蛋白质组学数据,提高了周转率估计的准确性。这种代谢标记方法的其他优点包括体内应用、O-GlcNAc位点的直接标记以及位点鉴定的更高可信度。仅专注于核定位的GlcNAc修饰蛋白,我们能够在42种蛋白质上鉴定出105个O-GlcNAc肽,并确定从HeLa细胞核中提取的14种蛋白质中20个O-GlcNAc肽的周转率。一般来说,我们发现O-GlcNAcylation的周转率比已发表的磷酸化或乙酰化的周转率要慢。然而,这些速率因蛋白质和修饰的残基而异。我们相信这种方法可以广泛应用于揭示不同生物状态下蛋白质O-GlcNAcylation的周转率/动态变化,并将提供更多关于O-GlcNAcylation重要性的信息,使我们首次能够研究这种关键修饰的时间动态变化。