Literature DB >> 19957301

Current trends in quantitative proteomics.

Monica H Elliott1, Derek S Smith, Carol E Parker, Christoph Borchers.   

Abstract

It was inevitable that as soon as mass spectrometrists were able to tell biologists which proteins were in their samples, the next question would be how much of these proteins were present. This has turned out to be a much more challenging question. In this review, we describe the multiple ways that mass spectrometry has attempted to address this issue, both for relative quantitation and for absolute quantitation of proteins. There is no single method that will work for every problem or for every sample. What we present here is a variety of techniques, with guidelines that we hope will assist the researcher in selecting the most appropriate technique for the particular biological problem that needs to be addressed. We need to emphasize that this is a very active area of proteomics research-new quantitative methods are continuously being introduced and some 'pitfalls' of older methods are just being discovered. However, even though there is no perfect technique--and a better technique may be developed tomorrow--valuable information on biomarkers and pathways can be obtained using these currently available methods. Copyright 2009 John Wiley & Sons, Ltd.

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Year:  2009        PMID: 19957301     DOI: 10.1002/jms.1692

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  68 in total

1.  Simultaneous quantification of apolipoprotein A-I and apolipoprotein B by liquid-chromatography-multiple- reaction-monitoring mass spectrometry.

Authors:  Sean A Agger; Luke C Marney; Andrew N Hoofnagle
Journal:  Clin Chem       Date:  2010-10-05       Impact factor: 8.327

2.  Structural biology by mass spectrometry: mapping protein interaction surfaces of membrane receptor complexes with ICAT.

Authors:  Brian R Crane
Journal:  J Mol Biol       Date:  2011-04-16       Impact factor: 5.469

3.  Cardioproteomics: advancing the discovery of signaling mechanisms involved in cardiovascular diseases.

Authors:  Ziyou Cui; Shannamar Dewey; Aldrin V Gomes
Journal:  Am J Cardiovasc Dis       Date:  2011-09-10

Review 4.  Proteomic analysis of the presynaptic active zone.

Authors:  W Volknandt; M Karas
Journal:  Exp Brain Res       Date:  2012-02-22       Impact factor: 1.972

5.  Quantitative proteomic analyses of influenza virus-infected cultured human lung cells.

Authors:  Kevin M Coombs; Alicia Berard; Wanhong Xu; Oleg Krokhin; Xiaobo Meng; John P Cortens; Darwyn Kobasa; John Wilkins; Earl G Brown
Journal:  J Virol       Date:  2010-08-11       Impact factor: 5.103

6.  A quantitative study of the effects of chaotropic agents, surfactants, and solvents on the digestion efficiency of human plasma proteins by trypsin.

Authors:  Jennifer L Proc; Michael A Kuzyk; Darryl B Hardie; Juncong Yang; Derek S Smith; Angela M Jackson; Carol E Parker; Christoph H Borchers
Journal:  J Proteome Res       Date:  2010-10-01       Impact factor: 4.466

Review 7.  Proteomic analysis of stem cell differentiation and early development.

Authors:  Dennis van Hoof; Jeroen Krijgsveld; Christine Mummery
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-03-01       Impact factor: 10.005

8.  A novel alignment method and multiple filters for exclusion of unqualified peptides to enhance label-free quantification using peptide intensity in LC-MS/MS.

Authors:  Xianyin Lai; Lianshui Wang; Haixu Tang; Frank A Witzmann
Journal:  J Proteome Res       Date:  2011-09-21       Impact factor: 4.466

Review 9.  Liquid chromatography-mass spectrometry-based quantitative proteomics.

Authors:  Fang Xie; Tao Liu; Wei-Jun Qian; Vladislav A Petyuk; Richard D Smith
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

10.  Isotope-Encoded Carboxyl Group Footprinting for Mass Spectrometry-Based Protein Conformational Studies.

Authors:  Hao Zhang; Haijun Liu; Robert E Blankenship; Michael L Gross
Journal:  J Am Soc Mass Spectrom       Date:  2015-09-18       Impact factor: 3.109

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