Literature DB >> 16457602

Characterization of the mouse brain proteome using global proteomic analysis complemented with cysteinyl-peptide enrichment.

Haixing Wang1, Wei-Jun Qian, Mark H Chin, Vladislav A Petyuk, Richard C Barry, Tao Liu, Marina A Gritsenko, Heather M Mottaz, Ronald J Moore, David G Camp Ii, Arshad H Khan, Desmond J Smith, Richard D Smith.   

Abstract

We report a global proteomic approach for analyzing brain tissue and for the first time a comprehensive characterization of the whole mouse brain proteome. Preparation of the whole brain sample incorporated a highly efficient cysteinyl-peptide enrichment (CPE) technique to complement a global enzymatic digestion method. Both the global and the cysteinyl-enriched peptide samples were analyzed by SCX fractionation coupled with reversed phase LC-MS/MS analysis. A total of 48,328 different peptides were confidently identified (>98% confidence level), covering 7792 nonredundant proteins ( approximately 34% of the predicted mouse proteome). A total of 1564 and 1859 proteins were identified exclusively from the cysteinyl-peptide and the global peptide samples, respectively, corresponding to 25% and 31% improvements in proteome coverage compared to analysis of only the global peptide or cysteinyl-peptide samples. The identified proteins provide a broad representation of the mouse proteome with little bias evident due to protein pI, molecular weight, and/or cellular localization. Approximately 26% of the identified proteins with gene ontology (GO) annotations were membrane proteins, with 1447 proteins predicted to have transmembrane domains, and many of the membrane proteins were found to be involved in transport and cell signaling. The MS/MS spectrum count information for the identified proteins was used to provide a measure of relative protein abundances. The mouse brain peptide/protein database generated from this study represents the most comprehensive proteome coverage for the mammalian brain to date, and the basis for future quantitative brain proteomic studies using mouse models. The proteomic approach presented here may have broad applications for rapid proteomic analyses of various mouse models of human brain diseases.

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Year:  2006        PMID: 16457602      PMCID: PMC1850945          DOI: 10.1021/pr0503681

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


  44 in total

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3.  Pixelating the brain.

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Journal:  Genome Res       Date:  2002-02       Impact factor: 9.043

4.  Preliminary analysis of the mouse cerebellum proteome.

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5.  Whole proteome pI values correlate with subcellular localizations of proteins for organisms within the three domains of life.

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Journal:  Genome Res       Date:  2001-05       Impact factor: 9.043

6.  Characterization of the human heart mitochondrial proteome.

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8.  Proteomic profiling and neurodegeneration in Alzheimer's disease.

Authors:  T Tsuji; A Shiozaki; R Kohno; K Yoshizato; S Shimohama
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Review 9.  A transcriptome atlas of the mouse brain at cellular resolution.

Authors:  James P Carson; Christina Thaller; Gregor Eichele
Journal:  Curr Opin Neurobiol       Date:  2002-10       Impact factor: 6.627

10.  Development and evaluation of a micro- and nanoscale proteomic sample preparation method.

Authors:  Haixing Wang; Wei-Jun Qian; Heather M Mottaz; Therese R W Clauss; David J Anderson; Ronald J Moore; David G Camp; Arshad H Khan; Daniel M Sforza; Maria Pallavicini; Desmond J Smith; Richard D Smith
Journal:  J Proteome Res       Date:  2005 Nov-Dec       Impact factor: 4.466

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  53 in total

Review 1.  Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications.

Authors:  Wei-Jun Qian; Jon M Jacobs; Tao Liu; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2006-08-03       Impact factor: 5.911

2.  Spatial mapping of protein abundances in the mouse brain by voxelation integrated with high-throughput liquid chromatography-mass spectrometry.

Authors:  Vladislav A Petyuk; Wei-Jun Qian; Mark H Chin; Haixing Wang; Eric A Livesay; Matthew E Monroe; Joshua N Adkins; Navdeep Jaitly; David J Anderson; David G Camp; Desmond J Smith; Richard D Smith
Journal:  Genome Res       Date:  2007-01-25       Impact factor: 9.043

Review 3.  Recent advances in neuroproteomics.

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

4.  A genome-scale map of expression for a mouse brain section obtained using voxelation.

Authors:  Mark H Chin; Alex B Geng; Arshad H Khan; Wei-Jun Qian; Vladislav A Petyuk; Jyl Boline; Shawn Levy; Arthur W Toga; Richard D Smith; Richard M Leahy; Desmond J Smith
Journal:  Physiol Genomics       Date:  2007-05-15       Impact factor: 3.107

5.  Elimination of systematic mass measurement errors in liquid chromatography-mass spectrometry based proteomics using regression models and a priori partial knowledge of the sample content.

Authors:  Vladislav A Petyuk; Navdeep Jaitly; Ronald J Moore; Jie Ding; Thomas O Metz; Keqi Tang; Matthew E Monroe; Aleksey V Tolmachev; Joshua N Adkins; Mikhail E Belov; Alan R Dabney; Wei-Jun Qian; David G Camp; Richard D Smith
Journal:  Anal Chem       Date:  2007-12-29       Impact factor: 6.986

6.  DtaRefinery, a software tool for elimination of systematic errors from parent ion mass measurements in tandem mass spectra data sets.

Authors:  Vladislav A Petyuk; Anoop M Mayampurath; Matthew E Monroe; Ashoka D Polpitiya; Samuel O Purvine; Gordon A Anderson; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

7.  Characterization of the mouse pancreatic islet proteome and comparative analysis with other mouse tissues.

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Journal:  J Proteome Res       Date:  2008-06-21       Impact factor: 4.466

8.  Coomassie blue as a near-infrared fluorescent stain: a systematic comparison with Sypro Ruby for in-gel protein detection.

Authors:  R Hussain Butt; Jens R Coorssen
Journal:  Mol Cell Proteomics       Date:  2013-09-16       Impact factor: 5.911

9.  Multiplex expression cloning of blood-brain barrier membrane proteins.

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Journal:  Proteomics       Date:  2009-02       Impact factor: 3.984

10.  Regulation of brain glutamate metabolism by nitric oxide and S-nitrosylation.

Authors:  Karthik Raju; Paschalis-Thomas Doulias; Perry Evans; Elizabeth N Krizman; Joshua G Jackson; Oksana Horyn; Yevgeny Daikhin; Ilana Nissim; Marc Yudkoff; Itzhak Nissim; Kim A Sharp; Michael B Robinson; Harry Ischiropoulos
Journal:  Sci Signal       Date:  2015-07-07       Impact factor: 8.192

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