Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Road, Athens, Georgia 30602, United States.
Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States.
ACS Chem Biol. 2020 Oct 16;15(10):2692-2701. doi: 10.1021/acschembio.0c00453. Epub 2020 Sep 4.
Various biological processes at the cellular level are regulated by glycosylation which is a highly microheterogeneous post-translational modification (PTM) on proteins and lipids. The dynamic nature of glycosylation can be studied through metabolic incorporation of non-natural sugars into glycan epitopes and their detection using bio-orthogonal probes. However, this approach possesses a significant drawback due to nonspecific background reactions and ambiguity of non-natural sugar metabolism. Here, we report a probe-free strategy for their direct detection by glycoproteomics and glycomics using mass spectrometry (MS). The method dramatically simplifies the detection of non-natural functional group bearing monosaccharides installed through promiscuous sialic acid, -acetyl-d-galactosamine (GalNAc) and -acetyl-d-glucosamine (GlcNAc) biosynthetic pathways. Multistage enrichment of glycoproteins by cellular fractionation, subsequent ZIC-HILIC (zwitterionic-hydrophilic interaction chromatography) based glycopeptide enrichment, and a spectral enrichment algorithm for the MS data processing enabled direct detection of non-natural monosaccharides that are incorporated at low abundance on the N/O-glycopeptides along with their natural counterparts. Our approach allowed the detection of both natural and non-natural sugar bearing glycopeptides, N- and O-glycopeptides, differentiation of non-natural monosaccharide types on the glycans and also their incorporation efficiency through quantitation. Through this, we could deduce interconversion of monosaccharides during their processing through glycan salvage pathway and subsequent incorporation into glycan chains. The study of glycosylation dynamics through this method can be conducted in high throughput, as few sample processing steps are involved, enabling understanding of glycosylation dynamics under various external stimuli and thereby could bolster the use of metabolic glycan engineering in glycosylation functional studies.
各种细胞水平的生物学过程都受到糖基化的调节,糖基化是蛋白质和脂质上高度微异质的翻译后修饰(PTM)。糖基化的动态性质可以通过将非天然糖掺入聚糖表位并使用生物正交探针进行检测来研究。然而,由于非特异性背景反应和非天然糖代谢的模糊性,这种方法存在很大的缺点。在这里,我们报告了一种无探针策略,通过使用质谱(MS)的糖蛋白质组学和糖组学直接检测它们。该方法极大地简化了通过混杂的唾液酸、 -乙酰-d-半乳糖胺(GalNAc)和 -乙酰-d-葡萄糖胺(GlcNAc)生物合成途径安装的带有非天然官能团的单糖的直接检测。通过细胞分级分离对糖蛋白进行多级富集,随后进行基于 ZIC-HILIC(两性离子-亲水性相互作用色谱)的糖肽富集,以及用于 MS 数据处理的光谱富集算法,可直接检测到低丰度掺入 N/O-糖肽上的非天然单糖及其天然对应物。我们的方法允许检测带有天然和非天然糖的糖肽、N-和 O-糖肽,区分聚糖上非天然单糖的类型,以及通过定量检测它们的掺入效率。通过这种方法,我们可以推断出在聚糖回收途径中对单糖进行加工以及随后掺入糖链的过程中的单糖转化。通过这种方法研究糖基化动力学可以进行高通量研究,因为涉及的样品处理步骤很少,从而可以理解各种外部刺激下的糖基化动力学,从而可以增强代谢糖工程在糖基化功能研究中的应用。