Literature DB >> 17684036

Relative quantification of peptide phosphorylation in a complex mixture using 18O labeling.

Julia R Smith1, Michael Olivier, Andrew S Greene.   

Abstract

We have developed a method to determine the degree of phosphorylation of a peptide in a complex mixture without enrichment or operation of the mass spectrometer in negative ion mode. Yeast lysate containing known amounts of synthetic peptides (VPQLEIVPNSAEERLHSMK and VPQLEIVPN[pS]AEERLHSMK) was labeled with (16)O and (18)O during hydrolysis. After treatment of one sample with a cocktail of phosphatases, the two samples were pooled. The intensity of the dephosphorylated peptide peaks was used to infer the degree of phosphorylation present before treatment. The linear dynamic range of this method is >10-fold before either of the peptide envelopes becomes indistinguishable from the surrounding noise. Since both the site of posttranslational modification and the proportion of the protein population that is modified are vital in protein function, the employment of this technique will provide a valuable tool for the analysis of the functional implications of protein phosphorylation.

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Year:  2007        PMID: 17684036      PMCID: PMC2771636          DOI: 10.1152/physiolgenomics.00096.2007

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  16 in total

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5.  Robust phosphoproteomic profiling of tyrosine phosphorylation sites from human T cells using immobilized metal affinity chromatography and tandem mass spectrometry.

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6.  ZoomQuant: an application for the quantitation of stable isotope labeled peptides.

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Authors:  Wayne A Hicks; Brian D Halligan; Ronit Y Slyper; Simon N Twigger; Andrew S Greene; Michael Olivier
Journal:  J Am Soc Mass Spectrom       Date:  2005-04-15       Impact factor: 3.109

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10.  Phosphospecific proteolysis for mapping sites of protein phosphorylation.

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  8 in total

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Review 3.  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

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Journal:  Brief Funct Genomic Proteomic       Date:  2009-01-16

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7.  Quantitative analysis of SILAC data sets using spectral counting.

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8.  Robust MS quantification method for phospho-peptides using 18O/16O labeling.

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  8 in total

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