“ChopNSpice,” a Mass Spectrometric Approach That Allows Identification of Endogenous Small Ubiquitin-like Modifier-conjugated Peptides

Conjugation of small ubiquitin-like modifier (SUMO) to substrates is involved in a large number of cellular processes. Typically, SUMO is conjugated to lysine residues within a SUMO consensus site; however, an increasing number of proteins are sumoylated on non-consensus sites. To appreciate the fun...

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Published inMolecular & cellular proteomics Vol. 8; no. 12; pp. 2664 - 2675
Main Authors Hsiao, He-Hsuan, Meulmeester, Erik, Frank, Benedikt T.C., Melchior, Frauke, Urlaub, Henning
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.12.2009
American Society for Biochemistry and Molecular Biology
The American Society for Biochemistry and Molecular Biology
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Summary:Conjugation of small ubiquitin-like modifier (SUMO) to substrates is involved in a large number of cellular processes. Typically, SUMO is conjugated to lysine residues within a SUMO consensus site; however, an increasing number of proteins are sumoylated on non-consensus sites. To appreciate the functional consequences of sumoylation, the identification of SUMO attachment sites is of critical importance. Discovery of SUMO acceptor sites is usually performed by a laborious mutagenesis approach or using MS. In MS, identification of SUMO acceptor sites in higher eukaryotes is hampered by the large tryptic fragments of SUMO1 and SUMO2/3. MS search engines in combination with known databases lack the possibility to search MSMS spectra for larger modifications, such as sumoylation. Therefore, we developed a simple and straightforward database search tool (“ChopNSpice”) that successfully allows identification of SUMO acceptor sites from proteins sumoylated in vivo and in vitro. By applying this approach we identified SUMO acceptor sites in, among others, endogenous SUMO1, SUMO2, RanBP2, and Ubc9.
Bibliography:These authors contributed equally to this work.
Supported by grants from the European Union (Rubicon Network of Excellence) and Deutsche Forschungsgemeinschaft.
ISSN:1535-9476
1535-9484
DOI:10.1074/mcp.M900087-MCP200