Literature DB >> 23685481

A large synthetic peptide and phosphopeptide reference library for mass spectrometry-based proteomics.

Harald Marx1, Simone Lemeer, Jan Erik Schliep, Lucrece Matheron, Shabaz Mohammed, Jürgen Cox, Matthias Mann, Albert J R Heck, Bernhard Kuster.   

Abstract

We present a peptide library and data resource of >100,000 synthetic, unmodified peptides and their phosphorylated counterparts with known sequences and phosphorylation sites. Analysis of the library by mass spectrometry yielded a data set that we used to evaluate the merits of different search engines (Mascot and Andromeda) and fragmentation methods (beam-type collision-induced dissociation (HCD) and electron transfer dissociation (ETD)) for peptide identification. We also compared the sensitivities and accuracies of phosphorylation-site localization tools (Mascot Delta Score, PTM score and phosphoRS), and we characterized the chromatographic behavior of peptides in the library. We found that HCD identified more peptides and phosphopeptides than did ETD, that phosphopeptides generally eluted later from reversed-phase columns and were easier to identify than unmodified peptides and that current computational tools for proteomics can still be substantially improved. These peptides and spectra will facilitate the development, evaluation and improvement of experimental and computational proteomic strategies, such as separation techniques and the prediction of retention times and fragmentation patterns.

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Year:  2013        PMID: 23685481     DOI: 10.1038/nbt.2585

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  48 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

Review 2.  Modification site localization scoring: strategies and performance.

Authors:  Robert J Chalkley; Karl R Clauser
Journal:  Mol Cell Proteomics       Date:  2012-02-11       Impact factor: 5.911

Review 3.  Analytical strategies for phosphoproteomics.

Authors:  Tine E Thingholm; Ole N Jensen; Martin R Larsen
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

4.  Large-scale proteomics analysis of the human kinome.

Authors:  Felix S Oppermann; Florian Gnad; Jesper V Olsen; Renate Hornberger; Zoltán Greff; György Kéri; Matthias Mann; Henrik Daub
Journal:  Mol Cell Proteomics       Date:  2009-04-15       Impact factor: 5.911

Review 5.  The phosphoproteomics data explosion.

Authors:  Simone Lemeer; Albert J R Heck
Journal:  Curr Opin Chem Biol       Date:  2009-07-19       Impact factor: 8.822

6.  Combinatorial libraries of synthetic peptides as a model for shotgun proteomics.

Authors:  Brian C Bohrer; Yong Fuga Li; James P Reilly; David E Clemmer; Richard D DiMarchi; Predrag Radivojac; Haixu Tang; Randy J Arnold
Journal:  Anal Chem       Date:  2010-08-01       Impact factor: 6.986

7.  The detection, correlation, and comparison of peptide precursor and product ions from data independent LC-MS with data dependant LC-MS/MS.

Authors:  Scott J Geromanos; Johannes P C Vissers; Jeffrey C Silva; Craig A Dorschel; Guo-Zhong Li; Marc V Gorenstein; Robert H Bateman; James I Langridge
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

8.  Robust phosphoproteome enrichment using monodisperse microsphere-based immobilized titanium (IV) ion affinity chromatography.

Authors:  Houjiang Zhou; Mingliang Ye; Jing Dong; Eleonora Corradini; Alba Cristobal; Albert J R Heck; Hanfa Zou; Shabaz Mohammed
Journal:  Nat Protoc       Date:  2013-02-07       Impact factor: 13.491

9.  Mascot-derived false positive peptide identifications revealed by manual analysis of tandem mass spectra.

Authors:  Yue Chen; Junmei Zhang; Gang Xing; Yingming Zhao
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

10.  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

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  46 in total

1.  Comprehensive and reproducible phosphopeptide enrichment using iron immobilized metal ion affinity chromatography (Fe-IMAC) columns.

Authors:  Benjamin Ruprecht; Heiner Koch; Guillaume Medard; Max Mundt; Bernhard Kuster; Simone Lemeer
Journal:  Mol Cell Proteomics       Date:  2014-11-13       Impact factor: 5.911

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

Authors:  Gene Hart-Smith; Daniel Yagoub; Aidan P Tay; Russell Pickford; Marc R Wilkins
Journal:  Mol Cell Proteomics       Date:  2015-12-23       Impact factor: 5.911

3.  LuciPHOr: algorithm for phosphorylation site localization with false localization rate estimation using modified target-decoy approach.

Authors:  Damian Fermin; Scott J Walmsley; Anne-Claude Gingras; Hyungwon Choi; Alexey I Nesvizhskii
Journal:  Mol Cell Proteomics       Date:  2013-08-05       Impact factor: 5.911

4.  Proteomics: Peptides aplenty.

Authors:  Allison Doerr
Journal:  Nat Methods       Date:  2013-07       Impact factor: 28.547

5.  Transferred subgroup false discovery rate for rare post-translational modifications detected by mass spectrometry.

Authors:  Yan Fu; Xiaohong Qian
Journal:  Mol Cell Proteomics       Date:  2013-11-07       Impact factor: 5.911

6.  GAPP: A Proteogenomic Software for Genome Annotation and Global Profiling of Post-translational Modifications in Prokaryotes.

Authors:  Jia Zhang; Ming-Kun Yang; Honghui Zeng; Feng Ge
Journal:  Mol Cell Proteomics       Date:  2016-09-14       Impact factor: 5.911

7.  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

8.  The Hippo Pathway Transducers YAP1/TEAD Induce Acquired Resistance to Trastuzumab in HER2-Positive Breast Cancer.

Authors:  Paula González-Alonso; Sandra Zazo; Ester Martín-Aparicio; Melani Luque; Cristina Chamizo; Marta Sanz-Álvarez; Pablo Minguez; Gonzalo Gómez-López; Ion Cristóbal; Cristina Caramés; Jesús García-Foncillas; Pilar Eroles; Ana Lluch; Oriol Arpí; Ana Rovira; Joan Albanell; Sander R Piersma; Connie R Jimenez; Juan Madoz-Gúrpide; Federico Rojo
Journal:  Cancers (Basel)       Date:  2020-04-29       Impact factor: 6.639

9.  Stable-isotope-labeled histone peptide library for histone post-translational modification and variant quantification by mass spectrometry.

Authors:  Shu Lin; Samuel Wein; Michelle Gonzales-Cope; Gabriel L Otte; Zuo-Fei Yuan; Leila Afjehi-Sadat; Tobias Maile; Shelley L Berger; John Rush; Jennie R Lill; David Arnott; Benjamin A Garcia
Journal:  Mol Cell Proteomics       Date:  2014-07-07       Impact factor: 5.911

10.  Ion mobility tandem mass spectrometry enhances performance of bottom-up proteomics.

Authors:  Dominic Helm; Johannes P C Vissers; Christopher J Hughes; Hannes Hahne; Benjamin Ruprecht; Fiona Pachl; Arkadiusz Grzyb; Keith Richardson; Jason Wildgoose; Stefan K Maier; Harald Marx; Mathias Wilhelm; Isabelle Becher; Simone Lemeer; Marcus Bantscheff; James I Langridge; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2014-08-08       Impact factor: 5.911

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