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Site-Specific Quantification of Surface N-Glycoproteins in Statin-Treated Liver Cells

机译:定点处理的肝细胞中表面N-糖蛋白的定点定量

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The frequent modification of cell-surface proteins by N-linked glycans is known to be correlated with many biological processes. Aberrant glycosylation on surface proteins is associated with different cellular statuses and disease progression. However, it is extraordinarily challenging to comprehensively and site-specifically analyze glycoproteins located only on the cell surface. Currently mass spectrometry (MS)-based proteomics provides the possibility to analyze the N-glycoproteome, but effective separation and enrichment methods are required for the analysis of surface glycoproteins prior to MS measurement. The introduction of bio-orthogonal groups into proteins accelerates research in the robust visualization, identification, and quantification of proteins. Here we have comprehensively evaluated different sugar analogs in the analysis of cell-surface N-glycoproteins by combining copper-free click chemistry and MS -based proteomics. Comparison of three sugar analogs, N-azidoacetylgalactosamine (GalNAz), N-azidoacetylglucosamine (GlcNAz), and N-azidoacetylmannosamine (ManNAz), showed that metabolic labeling with GalNAz resulted in the greatest number of glycoproteins and glycosylation sites, in biological duplicate experiments. GalNAz was then employed for the quantification experiment in statin-treated HepG2 liver cells, and 280 unique N-glycosylated sites were quantified from 168 surface proteins. The quantification results demonstrated that many glycosylation sites on. surface proteins were down-regulated in statin-treated cells compared to untreated cells because statin prevents the synthesis of dolichol, which is essential for the formation of dolichol-linked precursor oligosaccharides. Several glycosylation sites in proteins that participate in the Alzheimer's disease pathway were down-regulated. This method can be extensively applied for the global analysis of the cell surface N-glycoproteome.
机译:N-连接的聚糖对细胞表面蛋白的频繁修饰与许多生物学过程有关。表面蛋白的异常糖基化与不同的细胞状态和疾病进展相关。然而,对仅位于细胞表面的糖蛋白进行全面和位点特异性的分析是非常困难的。当前基于质谱(MS)的蛋白质组学提供了分析N-糖蛋白组学的可能性,但是在MS测量之前分析表面糖蛋白需要有效的分离和富集方法。将生物正交基团引入蛋白质可加速对蛋白质进行可靠的可视化,鉴定和定量的研究。在这里,我们通过结合无铜点击化学和基于MS的蛋白质组学,在细胞表面N-糖蛋白分析中全面评估了不同的糖类似物。比较三种糖类似物N-叠氮基乙酰半乳糖胺(GalNAz),N-叠氮基乙酰葡糖胺(GlcNAz)和N-叠氮基乙酰甘露糖胺(ManNAz),在生物学重复实验中,用GalNAz进行代谢标记导致糖蛋白和糖基化位点数量最多。然后用GalNAz在他汀类药物治疗的HepG2肝细胞中进行定量实验,并从168种表面蛋白中定量了280个独特的N-糖基化位点。定量结果表明在其上有许多糖基化位点。与未处理的细胞相比,在他汀处理过的细胞中表面蛋白被下调,因为他汀类药物阻止了对多元醇的合成,这对于形成与多元醇连接的前体寡糖至关重要。参与阿尔茨海默氏病途径的蛋白质中的几个糖基化位点被下调。该方法可广泛应用于细胞表面N-糖蛋白组的整体分析。

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