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利用聚糖节点分析和 GC-MS 对培养细胞分泌的糖蛋白进行糖基化谱分析。

Glycosylation Profiling of Glycoproteins Secreted from Cultured Cells Using Glycan Node Analysis and GC-MS.

机构信息

School of Molecular Sciences, The Biodesign Institute-Center for Personalized Diagnostics, Arizona State University, Tempe, AZ, USA.

出版信息

Methods Mol Biol. 2021;2271:317-330. doi: 10.1007/978-1-0716-1241-5_22.

Abstract

Glycan "node" analysis is the process by which pooled glycans within complex biological samples are chemically deconstructed in a way that facilitates the analytical quantification of uniquely linked monosaccharide units (glycan "nodes"). It is based on glycan methylation analysis (a.k.a. linkage analysis) that has historically been applied to pre-isolated glycans. Thus, when using glycan node analysis, unique glycan features within whole biospecimens such as "core fucosylation," "α2-6 sialylation," "β1-6 branching," "β1-4 branching," and "bisecting GlcNAc," are captured as single analytical signals by GC-MS. Here we describe the use of this methodology in cell culture supernatant and in the analysis of IgG (alpha-1 antitrypsin) glycans. The effect of IL-6 and IL-1β cytokines on secreted hepatocyte protein glycan features is demonstrated; likewise, the impact of neuraminidase treatment of IgG is illustrated. For the majority of glycan nodes, the assay is consistent and reproducible on a day-to-day basis; because of this, relatively subtle shifts in the relative abundance of glycan features can be captured using this approach.

摘要

聚糖“节点”分析是一种将复杂生物样本中的混合聚糖进行化学解构的方法,该方法有利于对独特连接的单糖单元(聚糖“节点”)进行分析定量。它基于聚糖甲基化分析(也称为连接分析),该分析方法在历史上一直应用于预分离的聚糖。因此,当使用聚糖节点分析时,整个生物样本中的独特聚糖特征(如“核心岩藻糖基化”、“α2-6 唾液酸化”、“β1-6 分支”、“β1-4 分支”和“双连接 GlcNAc”)可以通过 GC-MS 作为单个分析信号捕获。在这里,我们描述了该方法在细胞培养上清液和 IgG(α-1 抗胰蛋白酶)聚糖分析中的应用。展示了 IL-6 和 IL-1β 细胞因子对分泌的肝细胞蛋白聚糖特征的影响;同样,也说明了神经氨酸酶处理 IgG 的影响。对于大多数聚糖节点,该测定方法在日常基础上是一致且可重复的;因此,使用这种方法可以捕捉到聚糖特征相对丰度的相对细微变化。

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