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Definitive screening design optimization of mass spectrometry parameters for sensitive comparison of filter and SPE purified INLIGHT plasma N-glycans

机译:质谱参数的确定性筛选设计优化用于灵敏比较过滤器和SPE纯化的INLIGHT血浆N-聚糖

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摘要

High-throughput, quantitative processing of N-linked glycans would facilitate large-scale studies correlating the glycome with disease and open the field to basic and applied researchers. We sought to meet these goals by coupling Filter-Aided-N-Glycan Separation (FANGS) to the individuality normalization when labeling with glycan hydrazide tags (INLIGHT™) for analysis of plasma. A quantitative comparison of this method was conducted against solid phase extraction (SPE), a ubiquitous and trusted method for glycan purification. We demonstrate that FANGS-INLIGHT purification was not significantly different from SPE in terms of glycan abundances, variability, functional classes, or molecular weight distributions. Furthermore, to increase the depth of glycome coverage, we executed a definitive screening design of experiments (DOE) to optimize the MS parameters for glycan analyses. We optimized MS parameters across five N-glycan responses using a standard glycan mixture, translated these to plasma and achieved up to a three-fold increase in ion abundances.
机译:N连接聚糖的高通量定量处理将促进大规模研究,将糖蛋白与疾病相关联,并向基础和应用研究人员开放该领域。当通过糖化酰肼标签(INLIGHT™)标记进行血浆分析时,我们通过将滤膜辅助N-聚糖分离(FANGS)与个性化标准化相结合来实现这些目标。对该方法与固相萃取(SPE)进行了定量比较,固相萃取是一种普遍存在且值得信赖的聚糖纯化方法。我们证明,在聚糖丰度,可变性,功能类别或分子量分布方面,FANGS-INLIGHT纯化与SPE并无显着差异。此外,为了增加糖蛋白覆盖的深度,我们执行了确定的实验筛选设计(DOE),以优化聚糖分析的MS参数。我们使用标准的聚糖混合物在五个N-聚糖响应中优化了MS参数,将这些参数转换为血浆并实现了离子丰度的三倍增加。

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