Literature DB >> 26699799

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

Gene Hart-Smith1, Daniel Yagoub2, Aidan P Tay2, Russell Pickford3, Marc R Wilkins2.   

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.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 26699799      PMCID: PMC4813715          DOI: 10.1074/mcp.M115.055384

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  56 in total

1.  Enhanced methylarginine characterization by post-translational modification-specific targeted data acquisition and electron-transfer dissociation mass spectrometry.

Authors:  Gene Hart-Smith; Jason K K Low; Melissa A Erce; Marc R Wilkins
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2.  The Saccharomyces cerevisiae poly(A)-binding protein is subject to multiple post-translational modifications, including the methylation of glutamic acid.

Authors:  Jason K K Low; Gene Hart-Smith; Melissa A Erce; Marc R Wilkins
Journal:  Biochem Biophys Res Commun       Date:  2013-12-08       Impact factor: 3.575

3.  Identification of acetylation and methylation sites of histone H3 from chicken erythrocytes by high-accuracy matrix-assisted laser desorption ionization-time-of-flight, matrix-assisted laser desorption ionization-postsource decay, and nanoelectrospray ionization tandem mass spectrometry.

Authors:  Kangling Zhang; Hui Tang; Lan Huang; James W Blankenship; Patrick R Jones; Fan Xiang; Peter M Yau; Alma L Burlingame
Journal:  Anal Biochem       Date:  2002-07-15       Impact factor: 3.365

4.  delta-N-methylarginine is a novel posttranslational modification of arginine residues in yeast proteins.

Authors:  P Zobel-Thropp; J D Gary; S Clarke
Journal:  J Biol Chem       Date:  1998-11-06       Impact factor: 5.157

5.  Identification of four novel types of in vitro protein modifications.

Authors:  Gang Xing; Junmei Zhang; Yue Chen; Yingming Zhao
Journal:  J Proteome Res       Date:  2008-09-04       Impact factor: 4.466

6.  Differentiation between peptides containing acetylated or tri-methylated lysines by mass spectrometry: an application for determining lysine 9 acetylation and methylation of histone H3.

Authors:  Kangling Zhang; Peter M Yau; Bhaskar Chandrasekhar; Ron New; Richard Kondrat; Brian S Imai; Morton E Bradbury
Journal:  Proteomics       Date:  2004-01       Impact factor: 3.984

Review 7.  Protein arginine methylation in mammals: who, what, and why.

Authors:  Mark T Bedford; Steven G Clarke
Journal:  Mol Cell       Date:  2009-01-16       Impact factor: 17.970

8.  Large-scale global identification of protein lysine methylation in vivo.

Authors:  Xing-Jun Cao; Anna M Arnaudo; Benjamin A Garcia
Journal:  Epigenetics       Date:  2013-04-17       Impact factor: 4.528

9.  Expanding the yeast protein arginine methylome.

Authors:  Michael Plank; Roman Fischer; Vincent Geoghegan; Philip D Charles; Rebecca Konietzny; Oreste Acuto; Catherine Pears; Christopher J Schofield; Benedikt M Kessler
Journal:  Proteomics       Date:  2015-07-02       Impact factor: 3.984

10.  Proteome-wide post-translational modification statistics: frequency analysis and curation of the swiss-prot database.

Authors:  George A Khoury; Richard C Baliban; Christodoulos A Floudas
Journal:  Sci Rep       Date:  2011-09-13       Impact factor: 4.379

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  16 in total

1.  Spectral Library Based Analysis of Arginine Phosphorylations in Staphylococcus aureus.

Authors:  Sabryna Junker; Sandra Maaβ; Andreas Otto; Stephan Michalik; Friedrich Morgenroth; Ulf Gerth; Michael Hecker; Dörte Becher
Journal:  Mol Cell Proteomics       Date:  2017-11-28       Impact factor: 5.911

Review 2.  Nonhistone Lysine Methylation in the Regulation of Cancer Pathways.

Authors:  Scott M Carlson; Or Gozani
Journal:  Cold Spring Harb Perspect Med       Date:  2016-11-01       Impact factor: 6.915

3.  Quantitative analysis of global protein lysine methylation by mass spectrometry.

Authors:  Peder J Lund; Stephanie M Lehman; Benjamin A Garcia
Journal:  Methods Enzymol       Date:  2019-08-12       Impact factor: 1.600

4.  Updating In Vivo and In Vitro Phosphorylation and Methylation Sites of Voltage-Gated Kv7.2 Potassium Channels.

Authors:  Fatma Asli Erdem; Isabella Salzer; Seok Heo; Wei-Qiang Chen; Gangsoo Jung; Gert Lubec; Stefan Boehm; Jae-Won Yang
Journal:  Proteomics       Date:  2017-10       Impact factor: 3.984

5.  Peptide identifications and false discovery rates using different mass spectrometry platforms.

Authors:  Krishna D B Anapindi; Elena V Romanova; Bruce R Southey; Jonathan V Sweedler
Journal:  Talanta       Date:  2018-01-31       Impact factor: 6.057

6.  Determining the Mitochondrial Methyl Proteome in Saccharomyces cerevisiae using Heavy Methyl SILAC.

Authors:  Katelyn E Caslavka Zempel; Ajay A Vashisht; William D Barshop; James A Wohlschlegel; Steven G Clarke
Journal:  J Proteome Res       Date:  2016-10-18       Impact factor: 4.466

7.  Knockout of the Hmt1p Arginine Methyltransferase in Saccharomyces cerevisiae Leads to the Dysregulation of Phosphate-associated Genes and Processes.

Authors:  Samantha Z Chia; Yu-Wen Lai; Daniel Yagoub; Sophie Lev; Joshua J Hamey; Chi Nam Ignatius Pang; Desmarini Desmarini; Zhiliang Chen; Julianne T Djordjevic; Melissa A Erce; Gene Hart-Smith; Marc R Wilkins
Journal:  Mol Cell Proteomics       Date:  2018-09-11       Impact factor: 5.911

8.  Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions.

Authors:  Colin W Brown; Viswanadham Sridhara; Daniel R Boutz; Maria D Person; Edward M Marcotte; Jeffrey E Barrick; Claus O Wilke
Journal:  BMC Genomics       Date:  2017-04-17       Impact factor: 3.969

9.  Global mapping of CARM1 substrates defines enzyme specificity and substrate recognition.

Authors:  Evgenia Shishkova; Hao Zeng; Fabao Liu; Nicholas W Kwiecien; Alexander S Hebert; Joshua J Coon; Wei Xu
Journal:  Nat Commun       Date:  2017-05-24       Impact factor: 14.919

10.  Root morphogenic pathways in Eucalyptus grandis are modified by the activity of protein arginine methyltransferases.

Authors:  Krista L Plett; Anita E Raposo; Stephen Bullivant; Ian C Anderson; Sabine C Piller; Jonathan M Plett
Journal:  BMC Plant Biol       Date:  2017-03-09       Impact factor: 4.215

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