FAIMS Enhances the Detection of PTM Crosstalk Sites

Protein post-translational modifications (PTMs) enable cells to rapidly change in response to biological stimuli. With hundreds of different PTMs, understanding these control mechanisms is complex. To date, efforts have focused on investigating the effect of a single PTM on protein function. Yet, many proteins contain multiple PTMs. Moreover, one PTM can alter the prevalence of another, a phenomenon termed PTM crosstalk. Understanding PTM crosstalk is critical; however, its detection is challenging since PTMs occur substoichiometrically. Here, we develop an enrichment-free, label-free proteomics method that utilizes high-field asymmetric ion mobility spectrometry (FAIMS) to enhance the detection of PTM crosstalk. We show that by searching for multiple combinations of dynamic PTMs on peptide sequences, a 6-fold increase in candidate PTM crosstalk sites is identified compared with that of standard liquid chromatography-tandem mass spectrometry (LC-MS/MS) workflows. Additionally, by cycling through FAIMS compensation voltages within a single LC-FAIMS-MS/MS run, we show that our LC-FAIMS-MS/MS workflow can increase multi-PTM-containing peptide identifications without additional increases in run times. With 159 novel candidate crosstalk sites identified, we envisage LC-FAIMS-MS/MS to play an important role in expanding the repertoire of multi-PTM identifications. Moreover, it is only by detecting PTM crosstalk that we can “see” the full picture of how proteins are regulated.

[1]  Mario Leutert,et al.  Decoding Post-Translational Modification Crosstalk With Proteomics , 2021, Molecular & cellular proteomics : MCP.

[2]  M. Westphall,et al.  Global Phosphoproteome Analysis Using High-Field Asymmetric Waveform Ion Mobility Spectrometry on a Hybrid Orbitrap Mass Spectrometer. , 2020, Analytical chemistry.

[3]  Na Liu,et al.  The cross-talk between methylation and phosphorylation in lymphoid-specific helicase drives cancer stem-like properties , 2020, Signal Transduction and Targeted Therapy.

[4]  Gaurav Agarwal,et al.  GlyGen: Computational and Informatics Resources for Glycoscience. , 2020, Glycobiology.

[5]  Helmut Krcmar,et al.  ProteomicsDB: a multi-omics and multi-organism resource for life science research , 2019, Nucleic Acids Res..

[6]  P. Eyers,et al.  Strong anion exchange‐mediated phosphoproteomics reveals extensive human non‐canonical phosphorylation , 2019, The EMBO journal.

[7]  R. Pieters,et al.  Study of cross talk between phosphatases and OGA on a ZO-3-derived peptide , 2019, Amino Acids.

[8]  S. Lemeer,et al.  Phosphopeptide Fragmentation and Site Localization by Mass Spectrometry: An Update , 2018, Analytical chemistry.

[9]  Hsien-Da Huang,et al.  dbPTM in 2019: exploring disease association and cross-talk of post-translational modifications , 2018, Nucleic Acids Res..

[10]  Martin Eisenacher,et al.  The PRIDE database and related tools and resources in 2019: improving support for quantification data , 2018, Nucleic Acids Res..

[11]  A. Heck,et al.  Crosstalk between phosphorylation and O‐GlcNAcylation: friend or foe , 2018, The FEBS journal.

[12]  Susan E. Abbatiello,et al.  Comprehensive Single-Shot Proteomics with FAIMS on a Hybrid Orbitrap Mass Spectrometer. , 2018, Analytical chemistry.

[13]  Cathy H. Wu,et al.  iPTMnet: an integrated resource for protein post-translational modification network discovery , 2017, Nucleic Acids Res..

[14]  Albert J R Heck,et al.  Elucidating crosstalk mechanisms between phosphorylation and O-GlcNAcylation , 2017, Proceedings of the National Academy of Sciences.

[15]  Arwin J. Brouwer,et al.  Peptide microarray analysis of the cross‐talk between O‐GlcNAcylation and tyrosine phosphorylation , 2017, FEBS letters.

[16]  D. Schild,et al.  Nucks1 synergizes with Trp53 to promote radiation lymphomagenesis in mice , 2016, Oncotarget.

[17]  Jun Zhong,et al.  Common errors in mass spectrometry‐based analysis of post‐translational modifications , 2016, Proteomics.

[18]  H. Cooper,et al.  FAIMS and Phosphoproteomics of Fibroblast Growth Factor Signaling: Enhanced Identification of Multiply Phosphorylated Peptides. , 2015, Journal of proteome research.

[19]  A. Levey,et al.  Quantitative phosphoproteomics of Alzheimer's disease reveals cross‐talk between kinases and small heat shock proteins , 2015, Proteomics.

[20]  Bin Zhang,et al.  PhosphoSitePlus, 2014: mutations, PTMs and recalibrations , 2014, Nucleic Acids Res..

[21]  Philip C. Andrews,et al.  Bioinformatic and Proteomic Analysis of Bulk Histones Reveals PTM Crosstalk and Chromatin Features , 2014, Journal of proteome research.

[22]  René P Zahedi,et al.  The next level of complexity: Crosstalk of posttranslational modifications , 2014, Proteomics.

[23]  Albert J R Heck,et al.  Identification of enriched PTM crosstalk motifs from large-scale experimental data sets. , 2014, Journal of proteome research.

[24]  S. Fields,et al.  Global analysis of phosphorylation and ubiquitylation cross-talk in protein degradation , 2013, Nature Methods.

[25]  J. Yates,et al.  Protein analysis by shotgun/bottom-up proteomics. , 2013, Chemical reviews.

[26]  Yong J. Kil,et al.  Byonic: Advanced Peptide and Protein Identification Software , 2012, Current protocols in bioinformatics.

[27]  Hanno Steen,et al.  Post‐translational modification: nature's escape from genetic imprisonment and the basis for dynamic information encoding , 2012, Wiley interdisciplinary reviews. Systems biology and medicine.

[28]  Hsien-Da Huang,et al.  dbSNO: a database of cysteine S-nitrosylation , 2012, Bioinform..

[29]  T. Köcher,et al.  Universal and confident phosphorylation site localization using phosphoRS. , 2011, Journal of proteome research.

[30]  A. Leitner,et al.  Tools for analyzing the phosphoproteome and other phosphorylated biomolecules: a review. , 2011, Analytica chimica acta.

[31]  Richard D. Smith,et al.  Separation of peptide isomers with variant modified sites by high-resolution differential ion mobility spectrometry. , 2010, Analytical chemistry.

[32]  G. Hart,et al.  Cross-talk between GlcNAcylation and phosphorylation: Site-specific phosphorylation dynamics in response to globally elevated O-GlcNAc , 2008, Proceedings of the National Academy of Sciences.

[33]  T. Hunter The age of crosstalk: phosphorylation, ubiquitination, and beyond. , 2007, Molecular cell.

[34]  G. Hart,et al.  O-GlcNAc modification in diabetes and Alzheimer's disease. , 2007, Molecular bioSystems.

[35]  B. O’Malley,et al.  SRC-3 Coactivator Functional Lifetime Is Regulated by a Phospho-Dependent Ubiquitin Time Clock , 2007, Cell.

[36]  M. Mann,et al.  Proteomic analysis of post-translational modifications , 2003, Nature Biotechnology.