Annotation of a Serum N-Glycan Library for Rapid Identification of Structures

被引:106
作者
Aldredge, Danielle [1 ]
An, Hyun Joo [2 ]
Tang, Ning [3 ]
Waddell, Keith [3 ]
Lebrilla, Carlito B. [1 ,4 ]
机构
[1] Univ Calif Davis, Dept Chem, Davis, CA 95616 USA
[2] Chungnam Natl Univ, Grad Sch Analyt Sci & Technol, Taejon 305764, South Korea
[3] Agilent Technol, Santa Clara, CA 95051 USA
[4] Univ Calif Davis, Dept Biochem & Mol Med, Davis, CA 95616 USA
关键词
N-linked glycan; glycan structures; isomers; nano HPLC-Chip TOF MS; online detection; retention time; database/library; PERFORMANCE LIQUID-CHROMATOGRAPHY; MASS-SPECTROMETRY; LINKED OLIGOSACCHARIDES; PROTEIN GLYCOSYLATION; GLYCOMICS; GLYCOPEPTIDES; BIOMARKERS; SEPARATION; STRATEGY; PROFILE;
D O I
10.1021/pr2011439
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Glycosylation is one of the most common posttranslational modifications of proteins and has been shown to change with various pathological states including cancer. Global glycan profiling of human serum based on mass spectrometry has already led to several promising markers for diseases. The changes in glycan structure can result in altered monosaccharide composition as well as in the linkages between the monosaccharides. High-throughput glycan structural elucidation is not possible because of the lack of a glycan template to expedite identification. In an effort toward rapid profiling and identification of glycans, we have constructed a library of structures for the serum glycome to aid in the rapid identification of serum glycans. N-Glycans from human serum glycoproteins are used as a standard and compiled into a library with exact structure (composition and linkage), liquid chromatography retention time, and accurate mass. Development of the library relies on highly reproducible nanoLC-MS retention times. Tandem MS and exoglycosidase digestions were used for structural elucidation. The library currently contains over 300 entries with 50 structures completely elucidated and over 60 partially elucidated structures. This database is steadily growing and will be used to rapidly identify glycans in unknown biological samples.
引用
收藏
页码:1958 / 1968
页数:11
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