Discipline of Pathology, School of Medical Sciences, The University of Sydney , Sydney 2006, Australia.
J Proteome Res. 2013 Dec 6;12(12):5791-800. doi: 10.1021/pr400783j. Epub 2013 Nov 1.
A combined glycomics and glycoproteomics strategy was developed for the site-specific analysis of N-linked glycosylation heterogeneity from a complex mammalian protein mixture. Initially, global characterization of the N-glycome was performed using porous graphitized carbon liquid chromatography-tandem mass spectrometry (PGC-LC-MS/MS) and the data used to create an N-glycan modification database. In the next step, tryptic glycopeptides were enriched using zwitterionic hydrophilic interaction liquid chromatography (Zic-HILIC) and fractionated by reversed-phase liquid chromatography (RPLC; pH 7.9). The resulting fractions were each separated into two equal aliquots. The first set of aliquots were treated with peptide-N-glycosidase F (PNGase F) to remove N-glycans and the former N-glycopeptides analyzed by nano-RPLC-MS/MS (pH 2.7) and identified by Mascot database search. This enabled the creation of a glycopeptide-centric concatenated database for each fraction. The second set of aliquots was analyzed directly by nanoRPLC-MS/MS (pH 2.7), employing fragmentation by CID and HCD. The assignment of glycan compositions to peptide sequences was achieved by searching the N-glycopeptide HCD MS/MS spectra against the glycopeptide-centric concatenated databases employing the N-glycan modification database. CID spectra were used to assign glycan structures identified in the glycomic analysis to peptide sequences. This multidimensional approach allowed confident identification of 863 unique intact N-linked glycopeptides from 161 rat brain glycoproteins.
采用糖组学和糖蛋白质组学相结合的策略,对复杂哺乳动物蛋白质混合物中的 N 连接糖基化异质性进行了定点分析。首先,采用多孔石墨化碳液相色谱-串联质谱(PGC-LC-MS/MS)对 N-糖组进行了全面表征,并利用这些数据创建了 N-糖基化修饰数据库。在下一步中,使用两性离子亲水相互作用液相色谱(Zic-HILIC)对胰蛋白酶糖肽进行了富集,并通过反相液相色谱(RPLC;pH7.9)进行了分离。所得馏分各分为两个等分份。第一组等分份用肽-N-糖苷酶 F(PNGase F)处理以去除 N-聚糖,并对前 N-糖肽进行纳米 RPLC-MS/MS(pH2.7)分析,并通过 Mascot 数据库搜索进行鉴定。这使得每个馏分都创建了一个以糖肽为中心的串联数据库。第二组等分份直接通过纳米 RPLC-MS/MS(pH2.7)进行分析,采用 CID 和 HCD 进行片段化。通过将 N-糖肽 HCD MS/MS 谱与以糖肽为中心的串联数据库进行搜索,利用 N-糖基化修饰数据库,将聚糖组成分配给肽序列。CID 谱用于将糖组学分析中鉴定的聚糖结构分配给肽序列。这种多维方法能够从 161 种大鼠脑糖蛋白中鉴定出 863 种独特的完整 N 连接糖肽。