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Improved Peptide Search for Identification of SUMO and Sequence-Based Modifiers, in MaxSBM
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Abstract
Abstract Post-translational modifications (PTMs), such as SUMOylation and ubiquitination, regulate key cellular processes by covalently attaching to lysine residues. While mass spectrometry allows site-specific identification of PTMs, most existing search engines are optimized for small, non-fragmenting modifications and struggle to detect large, fragmenting protein-based modifiers. We refer to these as Sequence-Based Modifiers (SBMs). To overcome this limitation, we developed an SBM-specific search strategy within MaxQuant that accounts for the fragmentation behavior of SBMs during peptide identification. Using publicly available datasets, we validated our approach for SUMO2/3. Our analysis identified distinct diagnostic features and characteristic mass shifts associated with SBM fragmentation, referred to in this study as d-ions (diagnostic ions) and p-ions. By leveraging these features, our method improved the identification of SUMOylated peptides from human cell lines by 13%, SUMOylation sites in mouse embryonic cells by 18%, and in mouse adipocytes by 25%. Our search method improved spectral annotation of SBMs by up to 9% increase in the median Andromeda score. Taken together, we highlight the potential of our SBM search to enhance the discovery of protein-based modifications. Highlights Development of a MaxQuant module tailored for identifying Sequence-Based Modifiers (SBMs), including SUMO2/3 Incorporation of SBM-specific fragmentation patterns into search algorithms Enhanced biological discovery through improved PTM identification from mass spectrometry datasets In Brief Here, we introduce MaxSBM, an optimized framework for interpreting complex sequence-based modifiers (SBMs), particularly SUMO, within MaxQuant. Our approach incorporates SBM-specific d- and p-ion series into peptide scoring and annotation. By extending the theoretical spectral space to include fragments bearing partial SUMO (or other SBM) peptide remnants, MaxSBM provides a more comprehensive spectral annotation which enhances peptide scoring, resulting in increased identification rates at a higher confidence. Beyond methodological refinement, we validated MaxSBM via reanalysis of several physiological SUMO datasets, ultimately unlocking new insights via mapping of previously obscured modification sites.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Varadi, M., Bertoni, D., Magana, P., Paramval, U., Pidruchna, I., Radhakrishnan, M., Tsenkov, M., Nair, S., Mirdita, M., Yeo, J., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkad1011 · Cited by 2,052 · cited 2×
“Structural analysis of the SUMO sites was done with the AlphaFold predicted database of protein structures (59, 60).”
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Metadata
- Authors
- Lennartsson, C., Kyriakidou, P., Nielsen, M. L., Olsen, J. V., Cox, J., & Hendriks, I. A.
- Affiliations
- University of Copenhagen (DK)
- Max Planck Institute of Biochemistry (DE)
- Corresponding author
- Hendriks, Ivo Alexander
- ORCID
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2026-06
- Volume
- 25
- Issue
- 6
- Pages
- 101589
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC13292685
- OpenAlex
- W4413900229
- Cited by
- 0
- References
- 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Novo Nordisk Foundation Center for Protein Research (NNF24SA0098829)
- Danish Cancer Society (R146-A9159-16-S2)
- Danmarks Frie Forskningsfond (8020-00220B, 0135-00096B)
- Novo Nordisk Fonden
- Horizon 2020 Framework Programme (EPIC-XS-823839)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ubiquitin and proteasome pathways
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Keywords
- SUMOylation, MaxQuant, peptide identification, post-translational modification, SUMO2/3, fragmentation patterns, diagnostic ions, spectral annotation
- MeSH terms
- Amino Acid Sequence, Animals, Humans, Peptides, Protein Processing, Post-Translational, Ubiquitins, Adipocytes, Small Ubiquitin-Related Modifier Proteins, Proteomics, Mice, Sumoylation
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