Literature DB >> 15144186

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

Laurence M Brill1, Arthur R Salomon, Scott B Ficarro, Mridul Mukherji, Michelle Stettler-Gill, Eric C Peters.   

Abstract

Protein tyrosine phosphorylation cascades are difficult to analyze and are critical for cell signaling in higher eukaryotes. Methodology for profiling tyrosine phosphorylation, considered herein as the assignment of multiple protein tyrosine phosphorylation sites in single analyses, was reported recently (Salomon, A. R.; Ficarro, S. B.; Brill, L. M.; Brinker, A.; Phung, Q. T.; Ericson, C.; Sauer, K.; Brock, A.; Horn, D. M.; Schultz, P. G.; Peters, E. C. Proc. Natl. Acad. Sci. U.S.A. 2003, 100, 443-448). The technology platform included the use of immunoprecipitation, immobilized metal affinity chromatography (IMAC), liquid chromatography, and tandem mass spectrometry. In the present report, we show that when using complex mixtures of peptides from human cells, methylation improved the selectivity of IMAC for phosphopeptides and eliminated the acidic bias that occurred with unmethylated peptides. The IMAC procedure was significantly improved by desalting methylated peptides, followed by gradient elution of the peptides to a larger IMAC column. These improvements resulted in assignment of approximately 3-fold more tyrosine phosphorylation sites, from human cell lysates, than the previous methodology. Nearly 70 tyrosine-phosphorylated peptides from proteins in human T cells were assigned in single analyses. These proteins had unknown functions or were associated with a plethora of fundamental cellular processes. This robust technology platform should be broadly applicable to profiling the dynamics of tyrosine phosphorylation.

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Year:  2004        PMID: 15144186     DOI: 10.1021/ac035352d

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  59 in total

Review 1.  Phosphoproteomic analysis: an emerging role in deciphering cellular signaling in human embryonic stem cells and their differentiated derivatives.

Authors:  Brian T D Tobe; Junjie Hou; Andrew M Crain; Ilyas Singec; Evan Y Snyder; Laurence M Brill
Journal:  Stem Cell Rev Rep       Date:  2012-03       Impact factor: 5.739

2.  Highly reproducible improved label-free quantitative analysis of cellular phosphoproteome by optimization of LC-MS/MS gradient and analytical column construction.

Authors:  Nagib Ahsan; Judson Belmont; Zhuo Chen; James G Clifton; Arthur R Salomon
Journal:  J Proteomics       Date:  2017-06-17       Impact factor: 4.044

3.  Proteasome-mediated degradation of integral inner nuclear membrane protein emerin in fibroblasts lacking A-type lamins.

Authors:  Antoine Muchir; Catherine Massart; Baziel G van Engelen; Martin Lammens; Gisèle Bonne; Howard J Worman
Journal:  Biochem Biophys Res Commun       Date:  2006-11-03       Impact factor: 3.575

4.  Automatic validation of phosphopeptide identifications from tandem mass spectra.

Authors:  Bingwen Lu; Cristian Ruse; Tao Xu; Sung Kyu Park; John Yates
Journal:  Anal Chem       Date:  2007-02-15       Impact factor: 6.986

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

Authors:  Julia R Smith; Michael Olivier; Andrew S Greene
Journal:  Physiol Genomics       Date:  2007-08-07       Impact factor: 3.107

Review 6.  Challenges in plasma membrane phosphoproteomics.

Authors:  Benjamin C Orsburn; Luke H Stockwin; Dianne L Newton
Journal:  Expert Rev Proteomics       Date:  2011-08       Impact factor: 3.940

7.  Colander: a probability-based support vector machine algorithm for automatic screening for CID spectra of phosphopeptides prior to database search.

Authors:  Bingwen Lu; Cristian I Ruse; John R Yates
Journal:  J Proteome Res       Date:  2008-06-19       Impact factor: 4.466

8.  A new approach for quantitative phosphoproteomic dissection of signaling pathways applied to T cell receptor activation.

Authors:  Vinh Nguyen; Lulu Cao; Jonathan T Lin; Norris Hung; Anna Ritz; Kebing Yu; Radu Jianu; Samuel P Ulin; Benjamin J Raphael; David H Laidlaw; Laurent Brossay; Arthur R Salomon
Journal:  Mol Cell Proteomics       Date:  2009-07-14       Impact factor: 5.911

Review 9.  Oxidative stress-mediated regulation of proteasome complexes.

Authors:  Charity T Aiken; Robyn M Kaake; Xiaorong Wang; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2011-05       Impact factor: 5.911

10.  Desmoglein-1/Erbin interaction suppresses ERK activation to support epidermal differentiation.

Authors:  Robert M Harmon; Cory L Simpson; Jodi L Johnson; Jennifer L Koetsier; Adi D Dubash; Nicole A Najor; Ofer Sarig; Eli Sprecher; Kathleen J Green
Journal:  J Clin Invest       Date:  2013-03-25       Impact factor: 14.808

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