Literature DB >> 17086517

Proteolytic 18O-labeling strategies for quantitative proteomics.

Masaru Miyagi1, K C Sekhar Rao.   

Abstract

A number of proteomic techniques have been developed to quantify proteins in biological systems. This review focuses on the quantitative proteomic technique known as "proteolytic 18O-labeling." This technique utilizes a protease and H(2)18O to produce labeled peptides, with subsequent chromatographic and mass spectrometric analysis to identify and quantify (relative) the proteins from which the peptides originated. The technique determines the ratio of individual protein's expression level between two samples relative to each other, and can be used to quantitatively examine protein expression (comparative proteomics) and post-translational modifications, and to study protein-protein interactions. The present review discusses various aspects of the 18O-labeling technique, including: its history, the advantages and disadvantages of the proteolytic 18O-labeling technique compared to other techniques, enzymatic considerations, the problem of variable incorporation of 18O atoms into peptides with a discussion on recent advancements of the technique to overcome it, computational tools to interpret the data, and a review of the biological applications. Copyright 2006 Wiley Periodicals, Inc.

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Year:  2007        PMID: 17086517     DOI: 10.1002/mas.20116

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  44 in total

1.  Light induced and circadian effects on retinal photoreceptor cell crystallins.

Authors:  Daniel Organisciak; Ruth Darrow; Linda Barsalou; Christine Rapp; Benjamin McDonald; Paul Wong
Journal:  Photochem Photobiol       Date:  2010-11-23       Impact factor: 3.421

Review 2.  Recent advances in neuroproteomics.

Authors:  Erika C Andrade; Dilja D Krueger; Angus C Nairn
Journal:  Curr Opin Mol Ther       Date:  2007-06

Review 3.  Protein abundance ratios for global studies of prokaryotes.

Authors:  Qiangwei Xia; Erik L Hendrickson; Tiansong Wang; Richard J Lamont; John A Leigh; Murray Hackett
Journal:  Proteomics       Date:  2007-08       Impact factor: 3.984

Review 4.  Methods and approaches for the comprehensive characterization and quantification of cellular proteomes using mass spectrometry.

Authors:  Shama P Mirza; Michael Olivier
Journal:  Physiol Genomics       Date:  2007-12-27       Impact factor: 3.107

5.  Use of 18O labels to monitor deamidation during protein and peptide sample processing.

Authors:  Xiaojuan Li; Jason J Cournoyer; Cheng Lin; Peter B O'Connor
Journal:  J Am Soc Mass Spectrom       Date:  2008-03-05       Impact factor: 3.109

6.  18O labeling over a coffee break: a rapid strategy for quantitative proteomics.

Authors:  Shama P Mirza; Andrew S Greene; Michael Olivier
Journal:  J Proteome Res       Date:  2008-05-30       Impact factor: 4.466

7.  Comparability analysis of protein therapeutics by bottom-up LC-MS with stable isotope-tagged reference standards.

Authors:  Anton V Manuilov; Czeslaw H Radziejewski; David H Lee
Journal:  MAbs       Date:  2011-07-01       Impact factor: 5.857

8.  Proteomic changes in the photoreceptor outer segment upon intense light exposure.

Authors:  Dagmar Hajkova; Yoshikazu Imanishi; Vikram Palamalai; K C Sekhar Rao; Chao Yuan; Quanhu Sheng; Haixu Tang; Rong Zeng; Ruth M Darrow; Daniel T Organisciak; Masaru Miyagi
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

9.  Streptomyces erythraeus trypsin for proteomics applications.

Authors:  Jianying Z Kiser; Marc Post; Benlian Wang; Masaru Miyagi
Journal:  J Proteome Res       Date:  2009-04       Impact factor: 4.466

10.  Enhanced interferon signaling pathway in oral cancer revealed by quantitative proteome analysis of microdissected specimens using 16O/18O labeling and integrated two-dimensional LC-ESI-MALDI tandem MS.

Authors:  Lang-Ming Chi; Chien-Wei Lee; Kai-Ping Chang; Sheng-Po Hao; Hang-Mao Lee; Ying Liang; Chuen Hsueh; Chia-Jung Yu; I-Neng Lee; Yin-Ju Chang; Shih-Ying Lee; Yuan-Ming Yeh; Yu-Sun Chang; Kun-Yi Chien; Jau-Song Yu
Journal:  Mol Cell Proteomics       Date:  2009-03-18       Impact factor: 5.911

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