Literature DB >> 18823140

Quantitative analysis of brain nuclear phosphoproteins identifies developmentally regulated phosphorylation events.

Lujian Liao1, Daniel B McClatchy, Sung Kyu Park, Tao Xu, Bingwen Lu, John R Yates.   

Abstract

Protein phosphorylation is a globally adopted and tightly controlled post-translational modification, and represents one of the most important molecular switching mechanisms that govern the entire spectrum of biological processes. In the central nervous system, it has been demonstrated that phosphorylation of key proteins mediating chromatin remodeling and gene transcription plays an important role controlling brain development, synaptogenesis, learning and memory. Many studies have focused on large scale identification of phosphopeptides in brain tissue. These studies have identified phosphorylation site specific motifs useful for predicting protein kinase substrates. In this study, we applied a previously developed quantitative approach, stable isotope labeling of amino acids in mammals (SILAM), to quantify changes in the phosphorylation of nuclear proteins between a postnatal day one (p1) and a p45 rat brain cortex. Using a 15N labeled rat brain as an internal standard, we quantified 705 phosphopeptides in the p1 cortex and 1477 phosphopeptides in the p45 cortex, which translates to 380 and 585 phosphoproteins in p1 and p45 cortex, respectively. Bioinformatic analysis of the differentially modified phosphoproteins revealed that phosphorylation is upregulated on multiple components of chromatin remodeling complexes in the p1 cortex. Taken together, we demonstrated for the first time the usefulness of employing stable isotope labeled rat tissue for global quantitative phosphorylation analysis.

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Year:  2008        PMID: 18823140      PMCID: PMC2659596          DOI: 10.1021/pr8003198

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  74 in total

Review 1.  ATP-dependent chromatin remodelling: SWI/SNF and Co. are on the job.

Authors:  C Muchardt; M Yaniv
Journal:  J Mol Biol       Date:  1999-10-22       Impact factor: 5.469

2.  Expression of nerve growth factor, brain-derived neurotrophic factor, and neurotrophin-3 in the somatosensory cortex of the mature rat: coexpression with high-affinity neurotrophin receptors.

Authors:  A F Pitts; M W Miller
Journal:  J Comp Neurol       Date:  2000-03-13       Impact factor: 3.215

3.  Quantitative analysis of synaptic phosphorylation and protein expression.

Authors:  Jonathan C Trinidad; Agnes Thalhammer; Christian G Specht; Aenoch J Lynn; Peter R Baker; Ralf Schoepfer; Alma L Burlingame
Journal:  Mol Cell Proteomics       Date:  2007-12-03       Impact factor: 5.911

4.  A quantitative analysis software tool for mass spectrometry-based proteomics.

Authors:  Sung Kyu Park; John D Venable; Tao Xu; John R Yates
Journal:  Nat Methods       Date:  2008-03-16       Impact factor: 28.547

5.  Combining protein-based IMAC, peptide-based IMAC, and MudPIT for efficient phosphoproteomic analysis.

Authors:  Greg T Cantin; Wei Yi; Bingwen Lu; Sung Kyu Park; Tao Xu; Jiing-Dwan Lee; John R Yates
Journal:  J Proteome Res       Date:  2008-01-26       Impact factor: 4.466

6.  Large-scale analysis of the yeast proteome by multidimensional protein identification technology.

Authors:  M P Washburn; D Wolters; J R Yates
Journal:  Nat Biotechnol       Date:  2001-03       Impact factor: 54.908

Review 7.  Neurotrophin signal transduction in the nervous system.

Authors:  D R Kaplan; F D Miller
Journal:  Curr Opin Neurobiol       Date:  2000-06       Impact factor: 6.627

8.  Improved titanium dioxide enrichment of phosphopeptides from HeLa cells and high confident phosphopeptide identification by cross-validation of MS/MS and MS/MS/MS spectra.

Authors:  Li-Rong Yu; Zhongyu Zhu; King C Chan; Haleem J Issaq; Dimiter S Dimitrov; Timothy D Veenstra
Journal:  J Proteome Res       Date:  2007-10-09       Impact factor: 4.466

9.  The nuclear kinase mitogen- and stress-activated protein kinase 1 regulates hippocampal chromatin remodeling in memory formation.

Authors:  Wilson B Chwang; J Simon Arthur; Armin Schumacher; J David Sweatt
Journal:  J Neurosci       Date:  2007-11-14       Impact factor: 6.167

10.  Highly robust, automated, and sensitive online TiO2-based phosphoproteomics applied to study endogenous phosphorylation in Drosophila melanogaster.

Authors:  Martijn W H Pinkse; Shabaz Mohammed; Joost W Gouw; Bas van Breukelen; Harmjan R Vos; Albert J R Heck
Journal:  J Proteome Res       Date:  2007-11-23       Impact factor: 4.466

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  25 in total

1.  15N-labeled brain enables quantification of proteome and phosphoproteome in cultured primary neurons.

Authors:  Lujian Liao; Richard C Sando; John B Farnum; Peter W Vanderklish; Anton Maximov; John R Yates
Journal:  J Proteome Res       Date:  2011-12-02       Impact factor: 4.466

2.  The SILAC fly allows for accurate protein quantification in vivo.

Authors:  Matthias D Sury; Jia-Xuan Chen; Matthias Selbach
Journal:  Mol Cell Proteomics       Date:  2010-06-05       Impact factor: 5.911

Review 3.  Approaches for targeted proteomics and its potential applications in neuroscience.

Authors:  Sumit Sethi; Dipti Chourasia; Ishwar S Parhar
Journal:  J Biosci       Date:  2015-09       Impact factor: 1.826

4.  Concurrent quantification of proteome and phosphoproteome to reveal system-wide association of protein phosphorylation and gene expression.

Authors:  Yi-Bo Wu; Jie Dai; Xing-Lin Yang; Su-Jun Li; Shi-Lin Zhao; Quan-Hu Sheng; Jia-Shu Tang; Guang-Yong Zheng; Yi-Xue Li; Jia-Rui Wu; Rong Zeng
Journal:  Mol Cell Proteomics       Date:  2009-08-12       Impact factor: 5.911

Review 5.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

6.  Dynamics of subcellular proteomes during brain development.

Authors:  Daniel B McClatchy; Lujian Liao; Ji Hyoung Lee; Sung Kyu Park; John R Yates
Journal:  J Proteome Res       Date:  2012-03-26       Impact factor: 4.466

7.  Shotgun proteomics in neuroscience.

Authors:  Lujian Liao; Daniel B McClatchy; John R Yates
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

8.  Direct quantitation of peptide mixtures without standards using clusters formed by electrospray ionization mass spectrometry.

Authors:  Ryan D Leib; Tawnya G Flick; Evan R Williams
Journal:  Anal Chem       Date:  2009-05-15       Impact factor: 6.986

9.  Regulation dynamics of Leishmania differentiation: deconvoluting signals and identifying phosphorylation trends.

Authors:  Polina Tsigankov; Pier Federico Gherardini; Manuela Helmer-Citterich; Gerald F Späth; Peter J Myler; Dan Zilberstein
Journal:  Mol Cell Proteomics       Date:  2014-04-16       Impact factor: 5.911

10.  Stable isotope metabolic labeling with a novel N-enriched bacteria diet for improved proteomic analyses of mouse models for psychopathologies.

Authors:  Elisabeth Frank; Melanie S Kessler; Michaela D Filiou; Yaoyang Zhang; Giuseppina Maccarrone; Stefan Reckow; Mirjam Bunck; Hermann Heumann; Christoph W Turck; Rainer Landgraf; Boris Hambsch
Journal:  PLoS One       Date:  2009-11-13       Impact factor: 3.240

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