Automated identification of SUMOylation sites using mass spectrometry and SUMmOn pattern recognition software

被引:88
作者
Pedrioli, Patrick G. A.
Raught, Brian
Zhang, Xiang-Dong
Rogers, Richard
Aitchison, John
Matunis, Michael
Aebersold, Ruedi
机构
[1] Univ Toronto, Hlth Network, Ontario Canc Inst, Toronto, ON M5G 1L7, Canada
[2] McLaughlin Ctr Mol Med, Toronto, ON M5G 1L7, Canada
[3] Inst Syst Biol, Seattle, WA 98103 USA
[4] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Biochem & Mol Biol, Baltimore, MD 21205 USA
[5] ETH, Swiss Fed Inst Technol, Inst Mol Syst Biol, CH-8093 Zurich, Switzerland
[6] Univ Zurich, Fac Nat Sci, CH-8006 Zurich, Switzerland
关键词
D O I
10.1038/NMETH891
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Tandem mass spectrometry (MS/MS) allows for the rapid identification of many types of post-translational modifications (PTMs), especially those that can be detected by a diagnostic mass shift in one or more peptide fragment ions (for example, phosphorylation). But some PTMs (for example, SUMOs and other ubiquitin-like modifiers) themselves produce multiple fragment ions; combined with fragments from the modified target peptide, a complex overlapping fragmentation pattern is thus generated, which is uninterpretable by standard peptide sequencing software. Here we introduce SUMmOn, an automated pattern recognition tool that detects diagnostic PTM fragment ion series within complex MS/MS spectra, to identify modified peptides and modification sites within these peptides. Using SUMmOn, we demonstrate for the first time that human SUMO-1 multimerizes in vitro primarily via three N-terminal lysines, Lys7, Lys16 and Lys17. Notably, our method is theoretically applicable to any type of modification or chemical moiety generating a unique fragment ion pattern.
引用
收藏
页码:533 / 539
页数:7
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