National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center , Beijing Institute of Lifeomics , Beijing 102206 , P. R. China.
Department of Pathology, Zhongshan Hospital , Fudan University , Shanghai 200032 , P. R. China.
Anal Chem. 2020 Feb 18;92(4):2896-2901. doi: 10.1021/acs.analchem.9b05276. Epub 2020 Jan 30.
Core fucosylation (CF) is a special form of N-glycosylation and plays an important role in pathological and biological processes. Increasing efforts in this area are focused on the identification of CF glycosites, whereas evidence showed that the stoichiometry of CF occupancy is functionally important. Here, an integrated strategy based on "Glycan-Simplification and Paired-Peaks-extraction" (GSPPE) for detecting large-scale stoichiometries of CF was developed. After HILIC enrichment of intact glycopeptides, sequential cleavages by endoglycosidases H and endoglycosidases F3 were performed to generate simplified glycopeptide forms (SGFs), i.e., peptide-GlcNAc (pep-HN) and peptide-GlcNAc-Fucose (pep-CF). These paired SGFs were found to be eluted consecutively on a reversed-phase chromatography column, which allowed us to obtain peak areas of SGF pairs, even if only one of the peaks was captured by the mass spectrometer (MS), by introducing the Paired-Peaks-Extraction algorithm. Thus, the missing value dilemma of random data-dependent MS/MS acquisition was reduced and the stoichiometry of site-specific CF could be calculated. We systematically evaluated the feasibility of this strategy using standard glycoproteins and then explored urinary samples from healthy individuals and hepatocellular carcinoma (HCC) patients. In total, 1449 highly reliable core fucose glycosites and their corresponding CF stoichiometries were obtained. Dozens of glycosites that differed significantly in the urine of healthy individuals and HCC patients were disclosed. The developed approach and program presented here may promote studies on core fucosylation and lead to a deeper understanding of their dysregulation in physiological- or pathological processes.
核心岩藻糖基化(CF)是一种特殊的 N-糖基化形式,在病理和生物学过程中发挥着重要作用。该领域的研究重点越来越集中在 CF 糖基化位点的鉴定上,而有证据表明 CF 占据的化学计量比在功能上很重要。在这里,我们开发了一种基于“聚糖简化和配对峰提取”(GSPPE)的综合策略,用于检测 CF 的大规模化学计量比。在 HILIC 富集完整糖肽后,依次用内切糖苷酶 H 和内切糖苷酶 F3 进行切割,生成简化糖肽形式(SGF),即肽-GlcNAc(pep-HN)和肽-GlcNAc-岩藻糖(pep-CF)。这些配对的 SGF 被发现在反相色谱柱上连续洗脱,这使得我们能够通过引入配对峰提取算法,即使只有一个峰被质谱仪(MS)捕获,也可以获得 SGF 对的峰面积。因此,减少了随机数据依赖的 MS/MS 采集的缺失值困境,并可以计算出特定 CF 位点的化学计量比。我们使用标准糖蛋白系统地评估了该策略的可行性,然后探索了来自健康个体和肝细胞癌(HCC)患者的尿液样本。总共获得了 1449 个高度可靠的核心岩藻糖基化位点及其相应的 CF 化学计量比。揭示了健康个体和 HCC 患者尿液中差异显著的数十个糖基化位点。这里提出的方法和程序可能会促进核心岩藻糖基化的研究,并深入了解其在生理或病理过程中的失调。