Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300RC Leiden, The Netherlands.
Department of Surgery, Leiden University Medical Center, 2300RC Leiden, The Netherlands.
Anal Chem. 2020 Mar 17;92(6):4518-4526. doi: 10.1021/acs.analchem.9b05722. Epub 2020 Mar 4.
Immunoglobulin (Ig) glycosylation is recognized for its influence on Ig turnover and effector functions. However, the large-scale profiling of Ig glycosylation in a biomedical setting is challenged by the existence of different Ig isotypes and subclasses, their varying serum concentrations, and the presence of multiple glycosylation sites per Ig. Here, a high-throughput nanoliquid chromatography (LC)- mass spectrometry (MS)-based method for simultaneous analysis of IgG and IgA glycopeptides was developed and applied on a serum sample set from 185 healthy donors. Sample preparation from minute amounts of serum was performed in 96-well plate format. Prior to trypsin digestion, IgG and IgA were enriched simultaneously, followed by a one-step denaturation, reduction, and alkylation. The obtained nanoLC-MS data were subjected to semiautomated, targeted feature integration and quality control. The combined and simplified protocol displayed high overall method repeatability, as assessed using pooled plasma and serum standards. Taking all samples together, 143 individual - and -glycopeptides were reliably quantified. These glycopeptides were attributable to 11 different peptide backbones, derived from IgG1, IgG2/3, IgG4, IgA1, IgA2, and the joining chain from dimeric IgA. Using this method, novel associations were found between IgA - and -glycosylation and age. Furthermore, previously reported associations of IgG Fc glycosylation with age in healthy individuals were confirmed. In conclusion, the new method paves the way for high-throughput multiprotein plasma glycoproteomics.
免疫球蛋白 (Ig) 糖基化因其对 Ig 周转率和效应功能的影响而受到关注。然而,在生物医学环境中对 Ig 糖基化进行大规模分析受到不同 Ig 同种型和亚型的存在、它们的血清浓度变化以及每个 Ig 存在多个糖基化位点的影响。在这里,开发了一种基于高效液相色谱 (LC) - 质谱 (MS) 的高通量方法,用于同时分析 IgG 和 IgA 糖肽,并应用于来自 185 名健康供体的血清样本集。采用 96 孔板格式从微量血清中进行样品制备。在胰蛋白酶消化之前,同时富集 IgG 和 IgA,然后进行一步变性、还原和烷基化。获得的 nanoLC-MS 数据经过半自动、靶向特征整合和质量控制。综合简化方案显示出高的整体方法重复性,使用混合血浆和血清标准品进行评估。综合所有样本,可靠地定量了 143 个个体和糖肽。这些糖肽归因于 IgG1、IgG2/3、IgG4、IgA1、IgA2 和二聚体 IgA 的连接链的 11 种不同肽骨干。使用该方法,发现了 IgA 糖基化与年龄之间的新关联。此外,还证实了先前报道的健康个体 IgG Fc 糖基化与年龄之间的关联。总之,新方法为高通量多蛋白血浆糖蛋白质组学铺平了道路。