ArticleMolecular & cellular proteomics : MCP2016
Large Scale Mass Spectrometry-based Identifications of Enzyme-mediated Protein Methylation Are Subject to High False Discovery Rates.
Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Tudor-based proteomic strategy pan-specifically enriches and identifies protein arginine methylation.EMBO reports · 2025Article
- Review
- Nonchromatin regulatory functions of the histone variant H2A.B in SWI/SNF genomic deposition.Science advances · 2025Article
- DynamicJournal of the American Chemical Society · 2025Article
- Decoding the protein methylome: Identification, validation, and functional insights.Bioorganic & medicinal chemistry · 2025Review
- Closing in on human methylation-the versatile family of seven-β-strand (METTL) methyltransferases.Nucleic acids research · 2024Review
- Tracking DOT1L methyltransferase activity by stable isotope labelling using a selective synthetic co-factor.Communications chemistry · 2024Article
- The protein methylation network in yeast: A landmark in completeness for a eukaryotic post-translational modification.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Decoding protein methylation function with thermal stability analysis.Nature communications · 2023Article
- Heavy Methyl SILAC Metabolic Labeling of Human Cell Lines for High-Confidence Identification of R/K-Methylated Peptides by High-Resolution Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Global profiling of arginine dimethylation in regulating protein phase separation by a steric effect-based chemical-enrichment method.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Protein methylation in mitochondria.The Journal of biological chemistry · 2022Review
- Eukaryote-Conserved Methylarginine Is Absent in Diplomonads and Functionally Compensated in Giardia.Molecular biology and evolution · 2020Article
- PRMT7 regulates RNA-binding capacity and protein stability in Leishmania parasites.Nucleic acids research · 2020Article
- HiLight-PTM: an online application to aid matching peptide pairs with isotopically labelled PTMs.Bioinformatics (Oxford, England) · 2020Article
- PRMT1-mediated methylation of the microprocessor-associated proteins regulates microRNA biogenesis.Nucleic acids research · 2020Article
- Quantitative analysis of global protein lysine methylation by mass spectrometry.Methods in enzymology · 2019Article
- Knockout of the Hmt1p Arginine Methyltransferase inMolecular & cellular proteomics : MCP · 2018Article
- Interaction modulation through arrays of clustered methyl-arginine protein modifications.Life science alliance · 2018Article
- Peptide identifications and false discovery rates using different mass spectrometry platforms.Talanta · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
All large scale LC-MS/MS post-translational methylation site discovery experiments require methylpeptide spectrum matches (methyl-PSMs) to be identified at acceptably low false discovery rates (FDRs). To meet estimated methyl-PSM FDRs, methyl-PSM filtering criteria are often determined using the target-decoy approach. The efficacy of this methyl-PSM filtering approach has, however, yet to be thoroughly evaluated. Here, we conduct a systematic analysis of methyl-PSM FDRs across a range of sample preparation workflows (each differing in their exposure to the alcohols methanol and isopropyl alcohol) and mass spectrometric instrument platforms (each employing a different mode of MS/MS dissociation). Through (13)CD3-methionine labeling (heavy-methyl SILAC) of Saccharomyces cerevisiae cells and in-depth manual data inspection, accurate lists of true positive methyl-PSMs were determined, allowing methyl-PSM FDRs to be compared with target-decoy approach-derived methyl-PSM FDR estimates. These results show that global FDR estimates produce extremely unreliable methyl-PSM filtering criteria; we demonstrate that this is an unavoidable consequence of the high number of amino acid combinations capable of producing peptide sequences that are isobaric to methylated peptides of a different sequence. Separate methyl-PSM FDR estimates were also found to be unreliable due to prevalent sources of false positive methyl-PSMs that produce high peptide identity score distributions. Incorrect methylation site localizations, peptides containing cysteinyl-S-β-propionamide, and methylated glutamic or aspartic acid residues can partially, but not wholly, account for these false positive methyl-PSMs. Together, these results indicate that the target-decoy approach is an unreliable means of estimating methyl-PSM FDRs and methyl-PSM filtering criteria. We suggest that orthogonal methylpeptide validation (e.g. heavy-methyl SILAC or its offshoots) should be considered a prerequisite for obtaining high confidence methyl-PSMs in large scale LC-MS/MS methylation site discovery experiments and make recommendations on how to reduce methyl-PSM FDRs in samples not amenable to heavy isotope labeling. Data are available via ProteomeXchange with the data identifier PXD002857.
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