Uncovering protein glycosylation dynamics and heterogeneity using deep quantitative glycoprofiling (DQGlyco)

Clément M. Potel, Mira Lea Burtscher, Martin Garrido-Rodriguez, Amber Brauer-Nikonow, Isabelle Becher, Cecile Le Sueur, Athanasios Typas, Michael Zimmermann, Mikhail M. Savitski
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Abstract

Protein glycosylation regulates essential cellular processes such as signaling, adhesion and cell–cell interactions; however, dysregulated glycosylation is associated with diseases such as cancer. Here we introduce deep quantitative glycoprofiling (DQGlyco), a robust method that integrates high-throughput sample preparation, highly sensitive detection and precise multiplexed quantification to investigate protein glycosylation dynamics at an unprecedented depth. Using DQGlyco, we profiled the mouse brain glycoproteome, identifying 177,198 unique N-glycopeptides—25 times more than previous studies. We quantified glycopeptide changes in human cells treated with a fucosylation inhibitor and characterized surface-exposed glycoforms. Furthermore, we analyzed tissue-specific glycosylation patterns in mice and demonstrated that a defined gut microbiota substantially remodels the mouse brain glycoproteome, shedding light on the link between the gut microbiome and brain protein functions. Additionally, we developed a novel strategy to evaluate glycoform solubility, offering new insights into their biophysical properties. Overall, the in-depth profiling offered by DQGlyco uncovered extensive complexity in glycosylation regulation.

Abstract Image

利用深度定量糖谱分析(DQGlyco)揭示蛋白质糖基化动力学和异质性
蛋白质糖基化调节必要的细胞过程,如信号传导、粘附和细胞-细胞相互作用;然而,糖基化失调与癌症等疾病有关。在这里,我们介绍了深度定量糖谱分析(DQGlyco),这是一种强大的方法,集高通量样品制备,高灵敏度检测和精确的多重定量于一体,以前所未有的深度研究蛋白质糖基化动力学。使用DQGlyco,我们分析了小鼠脑糖蛋白组,鉴定了177,198个独特的n -糖肽,比以前的研究多25倍。我们量化了用聚焦化抑制剂处理的人细胞中的糖肽变化,并表征了表面暴露的糖型。此外,我们分析了小鼠组织特异性糖基化模式,并证明确定的肠道微生物群实质上重塑了小鼠脑糖蛋白组,揭示了肠道微生物群与脑蛋白功能之间的联系。此外,我们开发了一种新的策略来评估糖型溶解度,为其生物物理特性提供了新的见解。总的来说,DQGlyco提供的深入分析揭示了糖基化调控的广泛复杂性。
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