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同位素标记与选择性富集一体化策略用于质谱法定量分析 N-糖组。

Integrated Pipeline of Isotopic Labeling and Selective Enriching for Quantitative Analysis of N-Glycome by Mass Spectrometry.

出版信息

Anal Chem. 2019 Jan 15;91(2):1486-1493. doi: 10.1021/acs.analchem.8b04525. Epub 2018 Dec 27.

DOI:10.1021/acs.analchem.8b04525
PMID:30557003
Abstract

Quantitative N-glycomics can reveal abnormal expression of N-glycan in diseases. However, mass spectrometry (MS)-based N-glycome quantitative analysis is still technically challenging. To achieve the quantitation of N-glycome with high accuracy and sensitivity, it is required to efficiently label the N-glycans with isotopic tags and selectively enrich N-glycans to avoid suppression from other substances. Herein, we developed an integrated pipeline that combines isotopically fluorous tag labeling and fluorous solid-phase extraction to quantitatively analyze the N-glycome by MS. In this strategy, the N-glycans were labeled with light and heavy aminoxy-functionalized fluorous tags (PFBHA and PFBHA- d) through the oxime click reaction. Then through the fluorous solid-phase extraction, the fluorous tag labeled N-glycan could be purified from contaminants like salts and proteins for the following quantitative analysis by mass spectrometry. This new approach enables selective purification (molar ratio of glycan to protein at 1:100) and accurate ( R > 0.99) and reproducible (coefficient of variation (CV)) < 25%, n = 6) quantitation of N-glycans within 2 orders of magnitude. Uniquely, diagnostic ions (D and [D-221]) were generated in tandem MS analysis after fluorous tags labeling, which could be used to deduce the composition of the 6-antenna and to distinguish isomers. Finally, this strategy was successfully applied to analyze the N-glycan changes in human serum associated with hepatocellular carcinoma (HCC). Fifteen N-glycan compositions with bisecting GlcNAc, sialic acid, and core fucosylation showed significant differences in HCC serum.

摘要

定量 N-糖组学可以揭示疾病中 N-聚糖的异常表达。然而,基于质谱 (MS) 的 N-糖组定量分析仍然具有技术挑战性。为了实现高精度和高灵敏度的 N-糖组定量分析,需要有效地用同位素标记物标记 N-聚糖,并选择性地富集 N-聚糖,以避免其他物质的抑制。在此,我们开发了一种集成的工作流程,该流程结合了同位素氟标记和氟固相萃取,通过 MS 对 N-糖组进行定量分析。在该策略中,N-聚糖通过肟点击反应分别用轻、重氨基氧基功能化氟标记物(PFBHA 和 PFBHA-d)进行标记。然后通过氟固相萃取,氟标记的 N-聚糖可以从盐和蛋白质等污染物中分离出来,以便随后进行质谱定量分析。这种新方法能够选择性地纯化(糖与蛋白质的摩尔比为 1:100)和准确(R > 0.99)和重现性好(变异系数 (CV) < 25%,n = 6)在 2 个数量级范围内对 N-聚糖进行定量。独特的是,在氟标记后进行串联 MS 分析时会产生诊断离子(D 和 [D-221]),这些离子可用于推断 6-天线的组成,并区分异构体。最后,该策略成功应用于分析与肝细胞癌 (HCC) 相关的人血清中的 N-聚糖变化。在 HCC 血清中,15 种具有双分支 GlcNAc、唾液酸和核心岩藻糖基化的 N-聚糖组成有显著差异。

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