Literature DB >> 27018578

Plug-and-play analysis of the human phosphoproteome by targeted high-resolution mass spectrometry.

Robert T Lawrence1, Brian C Searle1, Ariadna Llovet1, Judit Villén1.   

Abstract

Systematic approaches to studying cellular signaling require phosphoproteomic techniques that reproducibly measure the same phosphopeptides across multiple replicates, conditions, and time points. Here we present a method to mine information from large-scale, heterogeneous phosphoproteomics data sets to rapidly generate robust targeted mass spectrometry (MS) assays. We demonstrate the performance of our method by interrogating the IGF-1/AKT signaling pathway, showing that even rarely observed phosphorylation events can be consistently detected and precisely quantified.

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Year:  2016        PMID: 27018578      PMCID: PMC5915315          DOI: 10.1038/nmeth.3811

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  24 in total

1.  Ultradeep human phosphoproteome reveals a distinct regulatory nature of Tyr and Ser/Thr-based signaling.

Authors:  Kirti Sharma; Rochelle C J D'Souza; Stefka Tyanova; Christoph Schaab; Jacek R Wiśniewski; Jürgen Cox; Matthias Mann
Journal:  Cell Rep       Date:  2014-08-21       Impact factor: 9.423

2.  A probability-based approach for high-throughput protein phosphorylation analysis and site localization.

Authors:  Sean A Beausoleil; Judit Villén; Scott A Gerber; John Rush; Steven P Gygi
Journal:  Nat Biotechnol       Date:  2006-09-10       Impact factor: 54.908

3.  Single-step enrichment by Ti4+-IMAC and label-free quantitation enables in-depth monitoring of phosphorylation dynamics with high reproducibility and temporal resolution.

Authors:  Erik L de Graaf; Piero Giansanti; A F Maarten Altelaar; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2014-05-21       Impact factor: 5.911

4.  Signal Transduction Reaction Monitoring Deciphers Site-Specific PI3K-mTOR/MAPK Pathway Dynamics in Oncogene-Induced Senescence.

Authors:  Erik L de Graaf; Joanna Kaplon; Shabaz Mohammed; Lisette A M Vereijken; Daniel P Duarte; Laura Redondo Gallego; Albert J R Heck; Daniel S Peeper; A F Maarten Altelaar
Journal:  J Proteome Res       Date:  2015-06-02       Impact factor: 4.466

5.  Parallel reaction monitoring for high resolution and high mass accuracy quantitative, targeted proteomics.

Authors:  Amelia C Peterson; Jason D Russell; Derek J Bailey; Michael S Westphall; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2012-08-03       Impact factor: 5.911

6.  A sentinel protein assay for simultaneously quantifying cellular processes.

Authors:  Martin Soste; Rita Hrabakova; Stefanie Wanka; Andre Melnik; Paul Boersema; Alessio Maiolica; Timon Wernas; Marco Tognetti; Christian von Mering; Paola Picotti
Journal:  Nat Methods       Date:  2014-09-07       Impact factor: 28.547

7.  OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.

Authors:  Hannes L Röst; George Rosenberger; Pedro Navarro; Ludovic Gillet; Saša M Miladinović; Olga T Schubert; Witold Wolski; Ben C Collins; Johan Malmström; Lars Malmström; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

8.  DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics.

Authors:  Chih-Chiang Tsou; Dmitry Avtonomov; Brett Larsen; Monika Tucholska; Hyungwon Choi; Anne-Claude Gingras; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2015-01-19       Impact factor: 28.547

9.  Global survey of phosphotyrosine signaling identifies oncogenic kinases in lung cancer.

Authors:  Klarisa Rikova; Ailan Guo; Qingfu Zeng; Anthony Possemato; Jian Yu; Herbert Haack; Julie Nardone; Kimberly Lee; Cynthia Reeves; Yu Li; Yerong Hu; Zhiping Tan; Matthew Stokes; Laura Sullivan; Jeffrey Mitchell; Randy Wetzel; Joan Macneill; Jian Min Ren; Jin Yuan; Corey E Bakalarski; Judit Villen; Jon M Kornhauser; Bradley Smith; Daiqiang Li; Xinmin Zhou; Steven P Gygi; Ting-Lei Gu; Roberto D Polakiewicz; John Rush; Michael J Comb
Journal:  Cell       Date:  2007-12-14       Impact factor: 41.582

10.  Peptide-Centric Proteome Analysis: An Alternative Strategy for the Analysis of Tandem Mass Spectrometry Data.

Authors:  Ying S Ting; Jarrett D Egertson; Samuel H Payne; Sangtae Kim; Brendan MacLean; Lukas Käll; Ruedi Aebersold; Richard D Smith; William Stafford Noble; Michael J MacCoss
Journal:  Mol Cell Proteomics       Date:  2015-07-27       Impact factor: 5.911

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  36 in total

1.  Quantitation of Intact Proteins in Human Plasma Using Top-Down Parallel Reaction Monitoring-MS.

Authors:  Yuchao Chen; Pan Mao; Daojing Wang
Journal:  Anal Chem       Date:  2018-09-07       Impact factor: 6.986

2.  Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries.

Authors:  Lindsay K Pino; Seth C Just; Michael J MacCoss; Brian C Searle
Journal:  Mol Cell Proteomics       Date:  2020-04-20       Impact factor: 5.911

Review 3.  Recent advances in phosphoproteomics and application to neurological diseases.

Authors:  Justine V Arrington; Chuan-Chih Hsu; Sarah G Elder; W Andy Tao
Journal:  Analyst       Date:  2017-11-20       Impact factor: 4.616

4.  Building Spectral Libraries from Narrow-Window Data-Independent Acquisition Mass Spectrometry Data.

Authors:  Lilian R Heil; William E Fondrie; Christopher D McGann; Alexander J Federation; William S Noble; Michael J MacCoss; Uri Keich
Journal:  J Proteome Res       Date:  2022-05-12       Impact factor: 5.370

5.  Phosphoproteomic characterization of the signaling network resulting from activation of the chemokine receptor CCR2.

Authors:  Cheng Huang; Simon R Foster; Anup D Shah; Oded Kleifeld; Meritxell Canals; Ralf B Schittenhelm; Martin J Stone
Journal:  J Biol Chem       Date:  2020-04-02       Impact factor: 5.157

Review 6.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

7.  Proteome and Phosphoproteome Analysis of Brown Adipocytes Reveals That RICTOR Loss Dampens Global Insulin/AKT Signaling.

Authors:  Samuel W Entwisle; Camila Martinez Calejman; Anthony S Valente; Robert T Lawrence; Chien-Min Hung; David A Guertin; Judit Villén
Journal:  Mol Cell Proteomics       Date:  2020-03-31       Impact factor: 5.911

8.  Building ProteomeTools based on a complete synthetic human proteome.

Authors:  Daniel P Zolg; Mathias Wilhelm; Karsten Schnatbaum; Johannes Zerweck; Tobias Knaute; Bernard Delanghe; Derek J Bailey; Siegfried Gessulat; Hans-Christian Ehrlich; Maximilian Weininger; Peng Yu; Judith Schlegl; Karl Kramer; Tobias Schmidt; Ulrike Kusebauch; Eric W Deutsch; Ruedi Aebersold; Robert L Moritz; Holger Wenschuh; Thomas Moehring; Stephan Aiche; Andreas Huhmer; Ulf Reimer; Bernhard Kuster
Journal:  Nat Methods       Date:  2017-01-30       Impact factor: 28.547

9.  Reconstructing kinase network topologies from phosphoproteomics data reveals cancer-associated rewiring.

Authors:  Maruan Hijazi; Ryan Smith; Vinothini Rajeeve; Conrad Bessant; Pedro R Cutillas
Journal:  Nat Biotechnol       Date:  2020-01-20       Impact factor: 54.908

10.  CIDer: A Statistical Framework for Interpreting Differences in CID and HCD Fragmentation.

Authors:  Damien B Wilburn; Alicia L Richards; Danielle L Swaney; Brian C Searle
Journal:  J Proteome Res       Date:  2021-03-17       Impact factor: 4.466

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