N-glycosylation proteome of endoplasmic reticulum in mouse liver by ConA affinity chromatography coupled with LTQ-FT mass spectrometry

被引:2
|
作者
Song LiNa [1 ]
Wang JingLan [1 ]
Liu JinFeng [1 ]
Lu Zhuang [1 ,3 ]
Sui ShaoHui [1 ]
Jia Wei [1 ]
Yang Bing [1 ]
Chi Hao [2 ]
Wang LeHeng [2 ]
He SiMin [2 ]
Yu WenFeng [1 ]
Meng LingYan [1 ]
Chen Shuo [1 ]
Peng Xu [1 ]
Liang Yimin [1 ]
Cai Yun [1 ]
Qian XiaoHong [1 ]
机构
[1] Beijing Inst Radiat Med, Beijing Proteome Res Ctr, State Key Lab Prote, Beijing 102206, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
[3] Beijing Inst Biotechnol, Beijing 100081, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
glycosylation; rER; lectin affinity chromatography; ConA; LTQ-FT MS; LECTIN AFFINITY; CAENORHABDITIS-ELEGANS; TRYPTIC GLYCOPEPTIDES; LINKED GLYCANS; SIALIC-ACID; HUMAN SERUM; GLYCOPROTEOMICS; IDENTIFICATION; PROTEINS; SITES;
D O I
10.1007/s11426-010-0133-9
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Glycosylation is the most versatile and one of the most significant protein post-translational modifications. It is generally classified into three categories according to the amino acid to which the glycan is attached: N-glycosylation, O-glycosylation and C-glycosylation. Synthesis of N-glycoproteins occurs in the rough endoplasmic reticulum (rER), and all N-glycoproteins synthesized in rER have uniform glycan endings with mannose (Man) and glucose (Glc). A systematic strategy was developed to comprehensively profile N-glycoproteins in complex biological samples. The lectin Concanvalin A (ConA), which has a high affinity for glycans ending with Man, was used to extract the N-glycoproteins synthesized or located in the rER, and identified the N-glycoproteins and their glycosylation sites by LTQ-FT MS. The analysis was repeated three times at both the biological sample and mass spectrometry levels. In total, 323 glycosylation sites on 212 N-glycoproteins were identified in the mouse liver. Of these, 131 were known N-glycoproteins in the Swissprot database. The identified N-glycoproteins were classified according to their cell location by the Swissprot database and GO software. The identified N-glycoproteins in this study would serve as a good complement to the N-glycoprotein database for the mouse liver.
引用
收藏
页码:768 / 777
页数:10
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