Literature DB >> 26704149

Opening a SWATH Window on Posttranslational Modifications: Automated Pursuit of Modified Peptides.

Andrew Keller1, Samuel L Bader1, Ulrike Kusebauch1, David Shteynberg1, Leroy Hood1, Robert L Moritz2.   

Abstract

Posttranslational modifications of proteins play an important role in biology. For example, phosphorylation is a key component in signal transduction in all three domains of life, and histones can be modified in such a variety of ways that a histone code for gene regulation has been proposed. Shotgun proteomics is commonly used to identify posttranslational modifications as well as chemical modifications from sample processing. However, it favors the detection of abundant peptides over the repertoire presented, and the data analysis usually requires advance specification of modification masses and target amino acids, their number constrained by available computational resources. Recent advances in data independent acquisition mass spectrometry technologies such as SWATH-MS enable a deeper recording of the peptide contents of samples, including peptides with modifications. Here, we present a novel approach that applies the power of SWATH-MS analysis to the automated pursuit of modified peptides. With the new SWATHProphet(PTM) functionality added to the open source SWATHProphet software, precursor ions consistent with a modification are identified along with the mass and localization of the modification in the peptide sequence in a sensitive and unrestricted manner without the need to anticipate the modifications in advance. Using this method, we demonstrate the detection of a wide assortment of modified peptides, many unanticipated, in samples containing unpurified synthetic peptides and human urine, as well as in phospho-enriched human tissue culture cell samples.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 26704149      PMCID: PMC4813695          DOI: 10.1074/mcp.M115.054478

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


  38 in total

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2.  Unbiased detection of posttranslational modifications using mass spectrometry.

Authors:  Maria Fälth Savitski; Mikhail M Savitski
Journal:  Methods Mol Biol       Date:  2010

3.  A novel approach for untargeted post-translational modification identification using integer linear optimization and tandem mass spectrometry.

Authors:  Richard C Baliban; Peter A DiMaggio; Mariana D Plazas-Mayorca; Nicolas L Young; Benjamin A Garcia; Christodoulos A Floudas
Journal:  Mol Cell Proteomics       Date:  2010-01-26       Impact factor: 5.911

4.  Automated Validation of Results and Removal of Fragment Ion Interferences in Targeted Analysis of Data-independent Acquisition Mass Spectrometry (MS) using SWATHProphet.

Authors:  Andrew Keller; Samuel L Bader; David Shteynberg; Leroy Hood; Robert L Moritz
Journal:  Mol Cell Proteomics       Date:  2015-02-24       Impact factor: 5.911

5.  Homoserine in urine in patients with neuroblastoma.

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Review 6.  Post-translational modifications and the Warburg effect.

Authors:  T Hitosugi; J Chen
Journal:  Oncogene       Date:  2013-10-07       Impact factor: 9.867

7.  Open MS/MS spectral library search to identify unanticipated post-translational modifications and increase spectral identification rate.

Authors:  Ding Ye; Yan Fu; Rui-Xiang Sun; Hai-Peng Wang; Zuo-Fei Yuan; Hao Chi; Si-Min He
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

8.  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

Review 9.  Regulation of mRNA trafficking by nuclear pore complexes.

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Journal:  Genes (Basel)       Date:  2014-09-02       Impact factor: 4.096

Review 10.  Protein post-translational modifications and regulation of pluripotency in human stem cells.

Authors:  Yu-Chieh Wang; Suzanne E Peterson; Jeanne F Loring
Journal:  Cell Res       Date:  2013-11-12       Impact factor: 25.617

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  14 in total

1.  Mapping Biological Networks from Quantitative Data-Independent Acquisition Mass Spectrometry: Data to Knowledge Pipelines.

Authors:  Erin L Crowgey; Andrea Matlock; Vidya Venkatraman; Justyna Fert-Bober; Jennifer E Van Eyk
Journal:  Methods Mol Biol       Date:  2017

2.  Site-specific analysis of changes in the glycosylation of proteins in liver cirrhosis using data-independent workflow with soft fragmentation.

Authors:  Miloslav Sanda; Lihua Zhang; Nathan J Edwards; Radoslav Goldman
Journal:  Anal Bioanal Chem       Date:  2016-11-07       Impact factor: 4.142

Review 3.  Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome: Where There Is a Will, There Is a Way.

Authors:  Justyna Fert-Bober; Christopher I Murray; Sarah J Parker; Jennifer E Van Eyk
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

4.  The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays.

Authors:  Jochen M Schwenk; Gilbert S Omenn; Zhi Sun; David S Campbell; Mark S Baker; Christopher M Overall; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2017-10-10       Impact factor: 4.466

5.  Proteomic studies of bone and skeletal health outcomes.

Authors:  Carrie M Nielson; Jon M Jacobs; Eric S Orwoll
Journal:  Bone       Date:  2019-04-04       Impact factor: 4.398

Review 6.  Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.

Authors:  Jesse G Meyer; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2017-05       Impact factor: 3.940

7.  Highlights of the Biology and Disease-driven Human Proteome Project, 2015-2016.

Authors:  Jennifer E Van Eyk; Fernando J Corrales; Ruedi Aebersold; Ferdinando Cerciello; Eric W Deutsch; Paola Roncada; Jean-Charles Sanchez; Tadashi Yamamoto; Pengyuan Yang; Hui Zhang; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2016-09-20       Impact factor: 4.466

8.  Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS.

Authors:  George Rosenberger; Yansheng Liu; Hannes L Röst; Christina Ludwig; Alfonso Buil; Ariel Bensimon; Martin Soste; Tim D Spector; Emmanouil T Dermitzakis; Ben C Collins; Lars Malmström; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2017-06-12       Impact factor: 54.908

9.  Comparative Analyses of Data Independent Acquisition Mass Spectrometric Approaches: DIA, WiSIM-DIA, and Untargeted DIA.

Authors:  Frank Koopmans; Jenny T C Ho; August B Smit; Ka Wan Li
Journal:  Proteomics       Date:  2018-01       Impact factor: 3.984

Review 10.  Monitoring of Plant Protein Post-translational Modifications Using Targeted Proteomics.

Authors:  Borjana Arsova; Michelle Watt; Björn Usadel
Journal:  Front Plant Sci       Date:  2018-08-17       Impact factor: 5.753

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