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如何深入挖掘?糖肽中 mucin core-1 型的改进富集方法。

How to dig deeper? Improved enrichment methods for mucin core-1 type glycopeptides.

机构信息

Proteomics Research Group, Biological Research Center of Hungarian Academy of Sciences, Szeged, H-6701, Szeged, POB 521, Hungary.

出版信息

Mol Cell Proteomics. 2012 Jul;11(7):O111.016774. doi: 10.1074/mcp.O111.016774. Epub 2012 Mar 5.

Abstract

Two different workflows were tested in order to develop methods that provide deeper insight into the secreted O-glycoproteome. Bovine serum samples were subjected to lectin affinity-chromatography both at the protein- and peptide-level in order to selectively isolate glycopeptides with the most common, mucin core-1 sugar. This enrichment step was implemented with either protein-level mixed-bed ion-exchange chromatography or with peptide-level electrostatic repulsion hydrophilic interaction chromatography. Both methods led to at least 65% of the identified products being glycopeptides, in comparison to ≈ 25% without the additional chromatography steps [Darula, Z., and Medzihradszky, K. F. (2009) Affinity enrichment and characterization of mucin core-1 type glycopeptides from bovine serum. Mol. Cell. Proteomics 8, 2515-2526]. In order to improve not only the isolation but also the characterization of the glycopeptides exoglycosidases were used to eliminate carbohydrate extensions from the directly peptide-bound GalNAc units. Consequent tandem MS analysis of the mixtures using higher-energy collision-dissociation and electron-transfer dissociation led to the identification of 124 glycosylation sites in 51 proteins. While the electron-transfer dissociation data provided the bulk of the information for both modified sequence and modification site assignment, the higher-energy collision-dissociation data frequently yielded confirmation of the peptide identity, and revealed the presence of some core-2 or core-3 oligosaccharides. More than two-thirds of the sites as well as the proteins have never been reported modified.

摘要

为了深入了解分泌型 O-糖蛋白组,我们测试了两种不同的工作流程。我们分别在蛋白质和肽水平上对牛血清样品进行凝集素亲和层析,以选择性地分离具有最常见的粘蛋白核心 1 糖的糖肽。这种富集步骤分别通过蛋白质水平的混合床离子交换层析或肽水平的静电排斥亲水性相互作用层析来实现。与不进行额外的色谱步骤相比,这两种方法都至少将 65%的鉴定产物鉴定为糖肽,而不进行额外的色谱步骤时约为 25%[Darula,Z.,和 Medzihradszky,K. F.(2009)从牛血清中亲和富集和鉴定粘蛋白核心 1 型糖肽。Mol. Cell. Proteomics 8, 2515-2526]。为了不仅改善糖肽的分离,还改善其表征,我们使用外切糖苷酶从直接肽结合的 GalNAc 单元中消除碳水化合物延伸。随后使用更高能量碰撞解离和电子转移解离对混合物进行串联 MS 分析,鉴定出 51 种蛋白质中的 124 个糖基化位点。虽然电子转移解离数据为修饰序列和修饰位点分配提供了大部分信息,但更高能量碰撞解离数据经常能够确认肽的身份,并揭示存在一些核心 2 或核心 3 寡糖。超过三分之二的位点和蛋白质从未被报道过修饰。

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本文引用的文献

1
Human urinary glycoproteomics; attachment site specific analysis of N- and O-linked glycosylations by CID and ECD.
Mol Cell Proteomics. 2012 Apr;11(4):M111.013649. doi: 10.1074/mcp.M111.013649. Epub 2011 Dec 14.
2
Mining the O-glycoproteome using zinc-finger nuclease-glycoengineered SimpleCell lines.
Nat Methods. 2011 Oct 9;8(11):977-82. doi: 10.1038/nmeth.1731.
3
A systematic study of site-specific GalNAc-type O-glycosylation modulating proprotein convertase processing.
J Biol Chem. 2011 Nov 18;286(46):40122-32. doi: 10.1074/jbc.M111.287912. Epub 2011 Sep 20.
5
Modification site localization scoring integrated into a search engine.
Mol Cell Proteomics. 2011 Jul;10(7):M111.008078. doi: 10.1074/mcp.M111.008078. Epub 2011 Apr 13.
6
Location, location, location: new insights into O-GalNAc protein glycosylation.
Trends Cell Biol. 2011 Mar;21(3):149-58. doi: 10.1016/j.tcb.2010.11.004. Epub 2010 Dec 8.
8
Clustered O-glycans of IgA1: defining macro- and microheterogeneity by use of electron capture/transfer dissociation.
Mol Cell Proteomics. 2010 Nov;9(11):2545-57. doi: 10.1074/mcp.M110.001834. Epub 2010 Sep 7.

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