Literature DB >> 17367114

Relative quantification of stable isotope labeled peptides using a linear ion trap-Orbitrap hybrid mass spectrometer.

John D Venable1, James Wohlschlegel, Daniel B McClatchy, Sung Kyu Park, John R Yates.   

Abstract

The quantitative analysis of complex biological samples has emerged as a key research area in the field of proteomics. Although quantitative proteomic experiments remain challenging, these strategies have been greatly facilitated by the development of newer high-performance mass spectrometers. In this work, we have evaluated the use of the LTQ-Orbitrap, a hybrid mass spectrometer in which a linear ion trap is coupled to an Orbitrap mass analyzer, for quantitative analyses. By analyzing a range of yeast protein standards, we found that the high mass accuracy, high resolution, large ion capacity, and large dynamic range of the LTQ-Orbitrap led to as much as a 4-5-fold improvement in the number and quality of the peptide ratio measurements compared to similar analyses done on the LTQ. We also successfully quantified protein expression differences that occur in metabolically labeled rat synapses during brain development to further demonstrate the suitability of the LTQ-Orbitrap for the comparative analysis of complex tissue samples.

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Year:  2007        PMID: 17367114      PMCID: PMC3586273          DOI: 10.1021/ac062054i

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


  33 in total

1.  Accurate quantitation of protein expression and site-specific phosphorylation.

Authors:  Y Oda; K Huang; F R Cross; D Cowburn; B T Chait
Journal:  Proc Natl Acad Sci U S A       Date:  1999-06-08       Impact factor: 11.205

2.  Probability-based validation of protein identifications using a modified SEQUEST algorithm.

Authors:  Michael J MacCoss; Christine C Wu; John R Yates
Journal:  Anal Chem       Date:  2002-11-01       Impact factor: 6.986

3.  A correlation algorithm for the automated quantitative analysis of shotgun proteomics data.

Authors:  Michael J MacCoss; Christine C Wu; Hongbin Liu; Rovshan Sadygov; John R Yates
Journal:  Anal Chem       Date:  2003-12-15       Impact factor: 6.986

4.  A method for the comprehensive proteomic analysis of membrane proteins.

Authors:  Christine C Wu; Michael J MacCoss; Kathryn E Howell; John R Yates
Journal:  Nat Biotechnol       Date:  2003-04-14       Impact factor: 54.908

5.  The Orbitrap: a new mass spectrometer.

Authors:  Qizhi Hu; Robert J Noll; Hongyan Li; Alexander Makarov; Mark Hardman; R Graham Cooks
Journal:  J Mass Spectrom       Date:  2005-04       Impact factor: 1.982

6.  Direct analysis and identification of proteins in mixtures by LC/MS/MS and database searching at the low-femtomole level.

Authors:  A L McCormack; D M Schieltz; B Goode; S Yang; G Barnes; D Drubin; J R Yates
Journal:  Anal Chem       Date:  1997-02-15       Impact factor: 6.986

7.  Mitochondrial changes in rat inferior colliculus during postnatal development: an electron microscopic study.

Authors:  J J Pysh
Journal:  Brain Res       Date:  1970-03-03       Impact factor: 3.252

8.  Direct analysis of protein complexes using mass spectrometry.

Authors:  A J Link; J Eng; D M Schieltz; E Carmack; G J Mize; D R Morris; B M Garvik; J R Yates
Journal:  Nat Biotechnol       Date:  1999-07       Impact factor: 54.908

Review 9.  The neural cell adhesion molecule (NCAM) in development and plasticity of the nervous system.

Authors:  L C Rønn; B P Hartz; E Bock
Journal:  Exp Gerontol       Date:  1998 Nov-Dec       Impact factor: 4.032

10.  Isolation and characterization of postsynaptic densities from various brain regions: enrichment of different types of postsynaptic densities.

Authors:  R K Carlin; D J Grab; R S Cohen; P Siekevitz
Journal:  J Cell Biol       Date:  1980-09       Impact factor: 10.539

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  28 in total

1.  Stable isotope peptide mass spectrometry to decipher amino acid metabolism in Dehalococcoides strain CBDB1.

Authors:  Ernest Marco-Urrea; Jana Seifert; Martin von Bergen; Lorenz Adrian
Journal:  J Bacteriol       Date:  2012-06-01       Impact factor: 3.490

Review 2.  Systems biology in immunology: a computational modeling perspective.

Authors:  Ronald N Germain; Martin Meier-Schellersheim; Aleksandra Nita-Lazar; Iain D C Fraser
Journal:  Annu Rev Immunol       Date:  2011       Impact factor: 28.527

Review 3.  Protein abundance ratios for global studies of prokaryotes.

Authors:  Qiangwei Xia; Erik L Hendrickson; Tiansong Wang; Richard J Lamont; John A Leigh; Murray Hackett
Journal:  Proteomics       Date:  2007-08       Impact factor: 3.984

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.  Precision, proteome coverage, and dynamic range of Arabidopsis proteome profiling using (15)N metabolic labeling and label-free approaches.

Authors:  Borjana Arsova; Henrik Zauber; Waltraud X Schulze
Journal:  Mol Cell Proteomics       Date:  2012-05-05       Impact factor: 5.911

Review 6.  Stable-isotope dilution LC–MS for quantitative biomarker analysis.

Authors:  Eugene Ciccimaro; Ian A Blair
Journal:  Bioanalysis       Date:  2010-02       Impact factor: 2.681

7.  A robust error model for iTRAQ quantification reveals divergent signaling between oncogenic FLT3 mutants in acute myeloid leukemia.

Authors:  Yi Zhang; Manor Askenazi; Jingrui Jiang; C John Luckey; James D Griffin; Jarrod A Marto
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

8.  Motif-specific sampling of phosphoproteomes.

Authors:  Cristian I Ruse; Daniel B McClatchy; Bingwen Lu; Daniel Cociorva; Akira Motoyama; Sung Kyu Park; John R Yates
Journal:  J Proteome Res       Date:  2008-05       Impact factor: 4.466

9.  Screening for EphB signaling effectors using SILAC with a linear ion trap-orbitrap mass spectrometer.

Authors:  Guoan Zhang; David Fenyö; Thomas A Neubert
Journal:  J Proteome Res       Date:  2008-09-25       Impact factor: 4.466

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

Authors:  Lujian Liao; Daniel B McClatchy; Sung Kyu Park; Tao Xu; Bingwen Lu; John R Yates
Journal:  J Proteome Res       Date:  2008-09-30       Impact factor: 4.466

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