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简单扩展电子转移高能量碰撞解离中的质量范围可提高 N-糖肽鉴定的可信度。

Simply Extending the Mass Range in Electron Transfer Higher Energy Collisional Dissociation Increases Confidence in N-Glycopeptide Identification.

机构信息

Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences , University of Utrecht , Padualaan 8 , 3584 CH Utrecht , The Netherlands.

Netherlands Proteomics Center , Padualaan 8 , 3584 CH Utrecht , The Netherlands.

出版信息

Anal Chem. 2019 Aug 20;91(16):10401-10406. doi: 10.1021/acs.analchem.9b02125. Epub 2019 Jul 31.

Abstract

Glycopeptide-centric mass spectrometry has become a popular approach for studying protein glycosylation. However, current approaches still utilize fragmentation schemes and ranges originally optimized and intended for the analysis of typically much smaller unmodified tryptic peptides. Here, we show that by merely increasing the tandem mass spectrometry / range from 2000 to 4000 during electron transfer higher energy collisional dissociation (EThcD) fragmentation, a wealth of highly informative c and z ion fragment ions are additionally detected, facilitating improved identification of glycopeptides. We demonstrate the benefit of this extended mass range on various classes of glycopeptides containing phosphorylated, fucosylated, and/or sialylated N-glycans. We conclude that the current software solutions for glycopeptide identification also require further improvements to realize the full potential of extended mass range glycoproteomics. To stimulate further developments, we provide data sets containing all classes of glycopeptides (high mannose, hybrid, and complex) measured with standard (2000) and extended (4000) / range that can be used as test cases for future development of software solutions enhancing automated glycopeptide analysis.

摘要

糖肽为中心的质谱分析已成为研究蛋白质糖基化的一种流行方法。然而,目前的方法仍然利用最初为分析通常小得多的未修饰胰蛋白酶肽而优化和设计的片段化方案和范围。在这里,我们表明,通过仅在电子转移更高能量碰撞解离(EThcD)碎裂过程中,将串联质谱/范围从 2000 增加到 4000,还可以额外检测到大量非常有用的 c 和 z 离子片段离子,从而有助于改善糖肽的鉴定。我们证明了这种扩展质量范围在各种含有磷酸化、岩藻糖基化和/或唾液酸化 N-聚糖的糖肽类中的益处。我们得出结论,用于糖肽鉴定的当前软件解决方案还需要进一步改进,以实现扩展质量范围糖组学的全部潜力。为了激发进一步的发展,我们提供了包含使用标准(2000)和扩展(4000)/范围测量的所有类型糖肽(高甘露糖、杂合和复杂)的数据集,这些数据集可作为未来用于增强自动化糖肽分析的软件解决方案的开发的测试用例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/579f/6706795/4a62b894c7a0/ac-2019-02125p_0001.jpg

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