Use of a glycosylation site database to improve glycopeptide identification from complex mixtures

被引：19
|
作者：
Chalkley, Robert J. [1 ]
Baker, Peter R. [1 ]
机构：
[1] Univ Calif San Francisco, Dept Pharmaceut Chem, 600 16th St, San Francisco, CA 94143 USA
来源：
ANALYTICAL AND BIOANALYTICAL CHEMISTRY | 2017年 / 409卷 / 02期
关键词：
Glycopeptides; Mass spectrometry; Glycopeptide data analysis; Protein Prospector; N-glycosylation; O-glycosylation; TANDEM MASS-SPECTROMETRY; PROTEOMICS; DISSOCIATION; LEVEL;
D O I：
10.1007/s00216-016-9981-2
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
New mass spectrometry instrumentation, particularly those with electron transfer dissociation fragmentation, has made the analysis of complex glycopeptide mixtures accessible. However, software tools need to be optimized for interpretation of this type of data. Glycopeptide identification is challenging due to the number of different peptide and sugar moieties that can be combined, leading to a large number of potential compositions to consider. In this manuscript, different strategies for reducing the number of peptides and glycopeptides considered in database searching are compared. Adaptation of the software Protein Prospector to support the use of a reference modification site database doubled the number of glycopeptide IDs. The potential of this as an improved analysis strategy is discussed.
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页码：571 / 577
页数：7
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