首页> 外文学位 >Characterization of inter-alpha-trypsin inhibitor heavy chain h4 glycoprotein microheterogeneity using glycopeptide cid tandem mass spectra and glycan database searching.
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Characterization of inter-alpha-trypsin inhibitor heavy chain h4 glycoprotein microheterogeneity using glycopeptide cid tandem mass spectra and glycan database searching.

机译:间α-胰蛋白酶抑制剂重链h4糖蛋白微异质性的表征使用糖肽串联质谱和聚糖数据库搜索。

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摘要

Collision-induced dissociation tandem mass spectrometry (CID MS/MS) is an effective tool for site-specific analysis of glycopeptides and a powerful means of studying glycoprotein microheterogeneity. However, manual interpretation of CID MS/MS datasets can be time-consuming. We propose a strategy for automated data analysis that matches N-glycopeptide spectra to peptide-glycan pairs by searching glycan structure databases. We test this strategy on serial proteolytic digests of Inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), a liver-secreted glycoprotein with biomarker potential. We perform glycosidase-assisted LC-MS/MS analyses of HILIC-enriched glycopeptides from recombinant and serum-derived ITIH4 followed by automated glycopeptide analysis. The automated analysis matched 193 recombinant ITIH4 N-glycopeptide spectra representing 57 distinct peptide-glycan pairs with a false discovery rate (FDR) of 5.4%. Next, we applied our search strategy to the analysis of O-glycopeptides, and matched 26 O-glycopeptide spectra representing six distinct peptide-glycan pairs with an FDR of 1.1%. Recombinant and serum-derived ITIH4 primarily contain N-glycopeptides with complex glycan structures; recombinant ITIH4 glycoforms are less sialylated and more fucosylated compared to serum. O-glycopeptides carry core-1 O-glycans; however, sites of attachment differ between the recombinant and serum-derived material. The newly identified O-glycoforms are isoform-specific. Analysis of detached, permethylated N- and O-glycans confirms the glycopeptide observations. We also confirm that the four ITIH4 N-X-S/T sequons (N81, N207, N517 and N577) are glycosylated by treating ITIH4 tryptic/GluC and tryptic/chymotryptic glycopeptides with PNGaseF in the presence of 18O water. A fifth glycosylation site was discovered at N274 with the rare NVV motif. While occupancy of N-X-S/T sequons of ITIH4 is high (>80%) in both recombinant and serum-derived protein, glycan microheterogeneity of ITIH4 from the two sources differs. Our results demonstrate that exoglycosidase-assisted LC-MS/MS of glycopeptides combined with automated analysis using glycan structure database searching is a powerful workflow for studying glycosylation microheterogeneity. Using this workflow we observe site-specific differences in ITIH4 glycosylation, including differences in sialylation, branching, and core- and outer arm fucosylation between two biologically distinct sources of ITIH4. This study is significant because this automated workflow can be used to evaluate differences in protein glycosylation - in the future, this workflow can be extended to investigate disease-associated changes in glycosylation.
机译:碰撞诱导解离串联质谱(CID MS / MS)是糖肽位点特异性分析的有效工具,是研究糖蛋白微异质性的有力手段。但是,手动解释CID MS / MS数据集可能很耗时。我们提出了一种自动数据分析的策略,该策略通过搜索聚糖结构数据库将N-糖肽谱与肽-糖对匹配。我们在Inter-alpha-胰蛋白酶抑制剂重链H4(ITIH4)(具有生物标志物潜力的肝脏分泌糖蛋白)的系列蛋白水解消化物中测试此策略。我们对来自重组和血清来源的ITIH4的富含HILIC的糖肽进行糖苷酶辅助的LC-MS / MS分析,然后进行自动化的糖肽分析。自动化分析匹配了193个重组ITIH4 N-糖肽谱,这些光谱代表57个不同的肽-聚糖对,错误发现率(FDR)为5.4%。接下来,我们将搜索策略应用于O-糖肽的分析,并匹配了26个O-糖肽光谱,这些光谱代表6个不同的肽-聚糖对,FDR为1.1%。重组的和血清来源的ITIH4主要含有具有复杂聚糖结构的N-糖肽。与血清相比,重组ITIH4糖型的唾液酸化程度更低,而岩藻糖基化程度更高。 O-糖肽带有核心1 O-聚糖。但是,重组物和血清来源的材料之间的连接位点不同。新近鉴定出的O-糖型具有同工型特异性。对分离的,过甲基化的N和O聚糖的分析证实了糖肽的观察结果。我们还通过在18O水存在下用PNGaseF处理ITIH4胰蛋白酶/ GluC和胰蛋白酶/胰凝乳蛋白酶的糖肽来确认四个ITIH4 N-X-S / T序列(N81,N207,N517和N577)被糖基化。在N274处发现了第五个糖基化位点,具有罕见的NVV基序。尽管在重组蛋白和血清来源的蛋白中ITIH4的N-X-S / T序列的占有率很高(> 80%),但两种来源的ITIH4的聚糖微异质性却有所不同。我们的结果表明,糖苷外切糖苷酶辅助的LC-MS / MS与使用聚糖结构数据库搜索的自动分析相结合是研究糖基化微异质性的强大工作流程。使用此工作流程,我们观察到了ITIH4糖基化的位点特异性差异,包括两个生物学上不同的ITIH4来源之间的唾液酸化,分支以及核心和外臂岩藻糖基化的差异。这项研究意义重大,因为该自动化工作流程可用于评估蛋白质糖基化的差异-将来,该工作流程可扩展为研究疾病相关糖基化的变化。

著录项

  • 作者

    Chandler, Kevin Brown.;

  • 作者单位

    Georgetown University.;

  • 授予单位 Georgetown University.;
  • 学科 Chemistry Biochemistry.;Biology Bioinformatics.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 186 p.
  • 总页数 186
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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