Cheng Chu-Wen, Chou Chi-Chi, Hsieh Hsiao-Wu, Tu Zhijay, Lin Chun-Hung, Nycholat Corwin, Fukuda Minoru, Khoo Kay-Hooi
†Institute of Biochemical Sciences, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
‡Institute of Biological Chemistry, Academia Sinica, 128, Academia Road Sec 2, Nankang, Taipei 115, Taiwan.
Anal Chem. 2015 Jun 16;87(12):6380-8. doi: 10.1021/acs.analchem.5b01409. Epub 2015 Jun 5.
We have previously developed the enabling techniques for sulfoglycomics based on mass spectrometry (MS) analysis of permethylated glycans, which preserves the attractive features of more reliable MS/MS sequencing compared with that performed on native glycans, while providing an easy way to separate and hence enrich the sulfated glycans. Unlike LC-MS/MS analysis of native glycans in negative ion mode that has been more widely in use, the characteristics and potential benefits of similar applications based on permethylated sulfated glycans have not been fully investigated. We report here the important features of reverse phase-based nanoLC-MS/MS analysis of permethylated sulfated glycans in negative ion mode and demonstrate that complementary sets of diagnostic fragment ions afforded can allow rapid identification of various fucosylated, sialylated, sulfated glycotopes and definitive determination of the location of sulfate in a way difficult to achieve by other means. A parallel acquisition of both higher collision energy and trap-based MS(2) coupled with a product dependent MS(3) is conceivably the most productive sulfoglycomic workflow currently possible and the manually curated fragmentation characteristics presented here will allow future developments in automating data analysis.
我们之前基于对全甲基化聚糖的质谱(MS)分析开发了糖磺组学的支撑技术,与对天然聚糖进行的分析相比,该技术保留了更可靠的MS/MS测序的诱人特性,同时提供了一种分离并因此富集硫酸化聚糖的简便方法。与更广泛使用的负离子模式下天然聚糖的LC-MS/MS分析不同,基于全甲基化硫酸化聚糖的类似应用的特性和潜在优势尚未得到充分研究。我们在此报告负离子模式下基于反相的全甲基化硫酸化聚糖的纳米LC-MS/MS分析的重要特征,并证明所提供的互补诊断碎片离子集能够快速鉴定各种岩藻糖基化、唾液酸化、硫酸化糖位,并以其他方法难以实现的方式确定硫酸根的位置。同时采集更高碰撞能量和基于阱的MS(2)以及与产物相关的MS(3),可以说是目前最有效的糖磺组学工作流程,此处展示的人工整理的碎裂特征将有助于未来自动化数据分析的发展。