Literature DB >> 19241031

Manual validation of peptide sequence and sites of tyrosine phosphorylation from MS/MS spectra.

Amy M Nichols1, Forest M White.   

Abstract

Mass spectrometry-based analysis of protein phosphorylation has become increasingly powerful over the past decade and has been applied to many different biological systems. One of the most significant concerns facing the phosphoproteomics community and the proteomics field as a whole is the quality and accuracy of the data generated in these large scale efforts. For protein identification in a given sample, the solution has been to require multiple peptides per protein, eliminating "one-hit-wonders" (proteins identified on the basis of a single peptide assignment) which may increase false positives in the data set. Unfortunately, most of the phosphoproteomics data fall into the latter category, as each phosphorylation site will most likely be represented by a single tryptic peptide. Here we provide a detailed protocol describing our manual validation efforts to assure accurate peptide and phosphorylation site assignment for individual MS/MS spectra. In this procedure we use a combination of tools to assign b-, y-, neutral loss, and internal fragment ions, with the goal of assigning all significant ions in the MS/MS spectrum. Confident peptide and phosphorylation site assignment requires good coverage of the peptide with minimal unassigned fragment ions. Using this approach it is possible to maximize the quality of the phospho-proteomics data while minimizing database contamination associated with false positive identifications.

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Year:  2009        PMID: 19241031     DOI: 10.1007/978-1-59745-493-3_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  23 in total

1.  Confident phosphorylation site localization using the Mascot Delta Score.

Authors:  Mikhail M Savitski; Simone Lemeer; Markus Boesche; Manja Lang; Toby Mathieson; Marcus Bantscheff; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2010-11-06       Impact factor: 5.911

2.  Identification of phosphoproteins associated with human neutrophil granules following chemotactic peptide stimulation.

Authors:  Gregory C Luerman; David W Powell; Silvia M Uriarte; Timothy D Cummins; Michael L Merchant; Richard A Ward; Kenneth R McLeish
Journal:  Mol Cell Proteomics       Date:  2010-11-19       Impact factor: 5.911

3.  Quantitative phosphoproteomic analysis of T cell receptor signaling in diabetes prone and resistant mice.

Authors:  Leo K Iwai; Christophe Benoist; Diane Mathis; Forest M White
Journal:  J Proteome Res       Date:  2010-06-04       Impact factor: 4.466

4.  Dynamic Phosphorylation of Apoptosis Signal Regulating Kinase 1 (ASK1) in Response to Oxidative and Electrophilic Stress.

Authors:  Carlos Morales Betanzos; Joel D Federspiel; Amy M Palubinsky; BethAnn McLaughlin; Daniel C Liebler
Journal:  Chem Res Toxicol       Date:  2016-11-30       Impact factor: 3.739

5.  Combination antibody treatment down-regulates epidermal growth factor receptor by inhibiting endosomal recycling.

Authors:  Jamie B Spangler; Jason R Neil; Sivan Abramovitch; Yosef Yarden; Forest M White; Douglas A Lauffenburger; K Dane Wittrup
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-07       Impact factor: 11.205

6.  A general molecular affinity strategy for global detection and proteomic analysis of lysine methylation.

Authors:  Kaitlyn E Moore; Scott M Carlson; Nathan D Camp; Peggie Cheung; Richard G James; Katrin F Chua; Alejandro Wolf-Yadlin; Or Gozani
Journal:  Mol Cell       Date:  2013-04-11       Impact factor: 17.970

Review 7.  Phosphoproteomics and cancer research.

Authors:  Keith Ashman; Elena López Villar
Journal:  Clin Transl Oncol       Date:  2009-06       Impact factor: 3.405

8.  Identification of phosphorylation sites within the signaling adaptor APPL1 by mass spectrometry.

Authors:  Randi L Gant-Branum; Joshua A Broussard; Ablatt Mahsut; Donna J Webb; John A McLean
Journal:  J Proteome Res       Date:  2010-03-05       Impact factor: 4.466

9.  Computer aided manual validation of mass spectrometry-based proteomic data.

Authors:  Timothy G Curran; Bryan D Bryson; Michael Reigelhaupt; Hannah Johnson; Forest M White
Journal:  Methods       Date:  2013-03-13       Impact factor: 3.608

Review 10.  Quantifying oncogenic phosphotyrosine signaling networks through systems biology.

Authors:  Amanda M Del Rosario; Forest M White
Journal:  Curr Opin Genet Dev       Date:  2010-01-13       Impact factor: 5.578

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