Literature DB >> 16083298

Comprehensive label-free method for the relative quantification of proteins from biological samples.

Richard E Higgs1, Michael D Knierman, Valentina Gelfanova, Jon P Butler, John E Hale.   

Abstract

Pharmaceutical companies and regulatory agencies are broadly pursuing biomarkers as a means to increase the productivity of drug development. Quantifying differential levels of proteins from complex biological samples such as plasma or cerebrospinal fluid is one specific approach being used to identify markers of drug action, efficacy, toxicity, etc. We have developed a comprehensive, fully automated, and label-free approach to relative protein quantification from LC-MS/MS experiments of proteolytic protein digests including: de-noising, mass and charge state estimation, chromatographic alignment, and peptide quantification via integration of extracted ion chromatograms. Results from a variance components study of the entire method indicate that most of the variability is attributable to the LC-MS injection, with a median peptide LC-MS injection coefficient of variation of 8% on a ThermoFinnigan LTQ mass spectrometer. Spiked recovery results suggest a quantifiable range of approximately 32-fold for a sample protein.

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Year:  2005        PMID: 16083298     DOI: 10.1021/pr050109b

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


  66 in total

1.  Serum proteomic profiling in patients with drug-induced liver injury.

Authors:  L N Bell; R Vuppalanchi; P B Watkins; H L Bonkovsky; J Serrano; R J Fontana; M Wang; J Rochon; N Chalasani
Journal:  Aliment Pharmacol Ther       Date:  2012-03       Impact factor: 8.171

2.  Extending the dynamic range of label-free mass spectrometric quantification of affinity purifications.

Authors:  Wolfgang Bildl; Alexander Haupt; Catrin S Müller; Martin L Biniossek; Jörg Oliver Thumfart; Björn Hüber; Bernd Fakler; Uwe Schulte
Journal:  Mol Cell Proteomics       Date:  2011-11-08       Impact factor: 5.911

3.  Measuring the intra-individual variability of the plasma proteome in the chicken model of spontaneous ovarian adenocarcinoma.

Authors:  Adam M Hawkridge; Rebecca B Wysocky; James N Petitte; Kenneth E Anderson; Paul E Mozdziak; Oscar J Fletcher; Jonathan M Horowitz; David C Muddiman
Journal:  Anal Bioanal Chem       Date:  2010-07-17       Impact factor: 4.142

Review 4.  Proteomic approaches and identification of novel therapeutic targets for alcoholism.

Authors:  Giorgio Gorini; R Adron Harris; R Dayne Mayfield
Journal:  Neuropsychopharmacology       Date:  2013-07-31       Impact factor: 7.853

5.  Enrichment of distinct microfilament-associated and GTP-binding-proteins in membrane/microvilli fractions from lymphoid cells.

Authors:  Jian-Jiang Hao; Guanghui Wang; Trairak Pisitkun; Genaro Patino-Lopez; Kunio Nagashima; Mark A Knepper; Rong-Fong Shen; Stephen Shaw
Journal:  J Proteome Res       Date:  2008-05-28       Impact factor: 4.466

Review 6.  Biochemical individuality reflected in chromatographic, electrophoretic and mass-spectrometric profiles.

Authors:  Milos V Novotny; Helena A Soini; Yehia Mechref
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-04-15       Impact factor: 3.205

7.  Development and evaluation of normalization methods for label-free relative quantification of endogenous peptides.

Authors:  Kim Kultima; Anna Nilsson; Birger Scholz; Uwe L Rossbach; Maria Fälth; Per E Andrén
Journal:  Mol Cell Proteomics       Date:  2009-07-12       Impact factor: 5.911

8.  Evaluation of the variation in sample preparation for comparative proteomics using stable isotope labeling by amino acids in cell culture.

Authors:  Guoan Zhang; David Fenyö; Thomas A Neubert
Journal:  J Proteome Res       Date:  2009-03       Impact factor: 4.466

9.  Shotgun proteomics in neuroscience.

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

10.  Proteomic changes associated with diabetes in the BB-DP rat.

Authors:  D Thor Johnson; Robert A Harris; Stephanie French; Angel Aponte; Robert S Balaban
Journal:  Am J Physiol Endocrinol Metab       Date:  2008-11-04       Impact factor: 4.310

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