Evidence map›Paper›PMID 26699799›Full record

ArticleMolecular & cellular proteomics : MCP2016

Large Scale Mass Spectrometry-based Identifications of Enzyme-mediated Protein Methylation Are Subject to High False Discovery Rates.

Gene Hart-Smith, Daniel Yagoub, Aidan P Tay, Russell Pickford, Marc R Wilkins

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. DynamicJournal of the American Chemical Society · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. 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 · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Protein methylation in mitochondria.The Journal of biological chemistry · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Knockout of the Hmt1p Arginine Methyltransferase inMolecular & cellular proteomics : MCP · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gene Hart-SmithFrom the ‡New South Wales Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, and g.hart-smith@unsw.edu.au.
Daniel YagoubFrom the ‡New South Wales Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, and.
Aidan P TayFrom the ‡New South Wales Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, and.
Russell Pickford‖Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, New South Wales 2052, Australia.
Marc R WilkinsFrom the ‡New South Wales Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

False Positive ReactionsMethylationPeptidesProteomicsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTandem Mass SpectrometryPeptidesSaccharomyces cerevisiae Proteins

Identifiers

PMID26699799
PMCPMC4813715

What Socratic holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.