MCP Agilent Technologies
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
 QUICK SEARCH:   [advanced]


     


A more recent version of this article appeared on April 1, 2008.
This Article
Right arrow Full Text (PDF)
Right arrow Supplemental Data
Right arrow All Versions of this Article:
M700383-MCP200v1
7/4/645    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Glossary
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Marcantonio, M.
Right arrow Articles by Thibault, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Marcantonio, M.
Right arrow Articles by Thibault, P.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Submitted on August 13, 2007
Revised on October 29, 2007
Accepted on November 14, 2007

Combined enzymatic and data mining approaches for comprehensive phosphoproteome analyses; application to cell signaling events of interferon- stimulated macrophages

Maria Marcantonio, Matthias Trost, Mathieu Courcelles, Michel Desjardins, and Pierre Thibault

Dept. Chemistry and IRIC, Universite de Montreal, Montreal, Quebec H3C 3J7

Corresponding Author: pierre.thibault{at}umontreal.ca

Protein phosphorylation is a central cell signaling event that underlies a broad spectrum of key physiological processes. Advances in affinity chromatography and mass spectrometry are now providing the ability to identify and quantitate thousands of phosphorylation sites simultaneously. In spite of these remarkable advances, comprehensive phosphoproteome analyses still present sizable analytical challenges in view of suppression effects affecting positive ion detection of phosphopeptides and the variable quality of MS/MS spectra limiting sequence assignment and identification of modification sites. This work presents an integrated enzymatic and data mining approach enabling the comprehensive detection of native and putative phosphopeptides following alkaline phosphatase digestion of TiO2-enriched cell extracts. The correlation of retention times of more than 750 phospho- and dephosphopeptide pairs from J774 macrophage cell extracts indicated that removal of the phosphate groups can impart a gain or a loss in hydrophobicity that is partly explained by the formation of salt bridge with proximal amino groups. Dephosphorylation also led to an average 2-fold increase in MS sensitivity which facilitated peptide sequencing. More importantly, alkaline phosphatase digestion enhanced the overall population of putative phosphopeptides from TiO2-enriched cell extracts providing a unique approach to profile multi-phosphorylated cognates that would have remained otherwise undetected. The application of this approach is demonstrated for differential phosphoproteome analyses of mouse macrophages exposed to interferon-gamma for 5 min. TiO2 enrichment enabled the identification of 1144 phosphopeptides from 433 different proteins of which 125 phosphopeptides showed a 2-fold change upon interferon-gamma . The use of alkaline phosphatase nearly doubled the number of putative phosphopeptides assignments leading to the observation of key interferon-gamma signaling events involved in vesicle trafficking, production of reactive oxygen species and mRNA translation.


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Mol. Cell. ProteomicsHome page
M. O. Collins, L. Yu, I. Campuzano, S. G. N. Grant, and J. S. Choudhary
Phosphoproteomic Analysis of the Mouse Brain Cytosol Reveals a Predominance of Protein Phosphorylation in Regions of Intrinsic Sequence Disorder
Mol. Cell. Proteomics, July 1, 2008; 7(7): 1331 - 1348.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
 All ASBMB Journals   Journal of Biological Chemistry 
 Journal of Lipid Research   ASBMB Today 
Copyright © 2007 by the American Society for Biochemistry and Molecular Biology.