Literature DB >> 14640742

Global protein identification and quantification technology using two-dimensional liquid chromatography nanospray mass spectrometry.

Dirk Chelius1, Terry Zhang, Guanghui Wang, Rong-Fong Shen.   

Abstract

A simple and reliable method is described here for the identification and relative quantification of proteins in complex mixtures using two-dimensional liquid chromatography/tandem mass spectrometry. The method is based on the classical proteomic analysis where proteins are digested with trypsin and the resulting peptides are separated by multidimensional liquid chromatography. The separated peptides are analyzed by tandem mass spectrometry and identified via a database search algorithm such as SEQUEST. The peak areas (integrated ion counts over the peptide elution time) of all identified peptides are calculated, and the relative concentration of each protein is determined by comparing the peak areas of all peptides from that protein in one sample versus those from the other. Using this strategy, we compared the relative level of protein expression of A431 cells (an epidermal cell line) grown in the presence or absence of epidermal growth factor (EGF). Our results are consistent with the published observations of the transient effects of EGF. In addition, the difference in the concentrations of several phosphopeptides determined in our studies suggests the possibility of several new targets involved in the EGF cell-signaling pathway. This global protein identification and quantification technology should prove to be a valuable means for comparing proteomes in biological samples subjected to differential treatments.

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Year:  2003        PMID: 14640742     DOI: 10.1021/ac034607k

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


  17 in total

1.  Relative, label-free protein quantitation: spectral counting error statistics from nine replicate MudPIT samples.

Authors:  Bret Cooper; Jian Feng; Wesley M Garrett
Journal:  J Am Soc Mass Spectrom       Date:  2010-05-06       Impact factor: 3.109

2.  Stable isotope-free relative and absolute quantitation of protein phosphorylation stoichiometry by MS.

Authors:  Hanno Steen; Judith A Jebanathirajah; Michael Springer; Marc W Kirschner
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-01       Impact factor: 11.205

Review 3.  Biomarkers for neuroAIDS: the widening scope of metabolomics.

Authors:  Gurudutt Pendyala; Elizabeth J Want; William Webb; Gary Siuzdak; Howard S Fox
Journal:  J Neuroimmune Pharmacol       Date:  2006-10-10       Impact factor: 4.147

Review 4.  Fast, comprehensive two-dimensional liquid chromatography.

Authors:  Dwight R Stoll; Xiaoping Li; Xiaoli Wang; Peter W Carr; Sarah E G Porter; Sarah C Rutan
Journal:  J Chromatogr A       Date:  2007-08-30       Impact factor: 4.759

Review 5.  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

6.  A rapid, reproducible, on-the-fly orthogonal array optimization method for targeted protein quantification by LC/MS and its application for accurate and sensitive quantification of carbonyl reductases in human liver.

Authors:  Jin Cao; Vanessa Gonzalez-Covarrubias; Vanessa M Covarrubias; Robert M Straubinger; Hao Wang; Xiaotao Duan; Haoying Yu; Jun Qu; Javier G Blanco
Journal:  Anal Chem       Date:  2010-04-01       Impact factor: 6.986

7.  Using PSEA-Quant for Protein Set Enrichment Analysis of Quantitative Mass Spectrometry-Based Proteomics.

Authors:  Mathieu Lavallée-Adam; John R Yates
Journal:  Curr Protoc Bioinformatics       Date:  2016-03-24

8.  A straightforward and highly efficient precipitation/on-pellet digestion procedure coupled with a long gradient nano-LC separation and Orbitrap mass spectrometry for label-free expression profiling of the swine heart mitochondrial proteome.

Authors:  Xiaotao Duan; Rebeccah Young; Robert M Straubinger; Brian Page; Jin Cao; Hao Wang; Haoying Yu; John M Canty; Jun Qu
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

9.  Proteomic expression profiling of Haemophilus influenzae grown in pooled human sputum from adults with chronic obstructive pulmonary disease reveal antioxidant and stress responses.

Authors:  Jun Qu; Alan J Lesse; Aimee L Brauer; Jin Cao; Steven R Gill; Timothy F Murphy
Journal:  BMC Microbiol       Date:  2010-06-01       Impact factor: 3.605

10.  Segmentation of precursor mass range using "tiling" approach increases peptide identifications for MS1-based label-free quantification.

Authors:  Catherine E Vincent; Gregory K Potts; Arne Ulbrich; Michael S Westphall; James A Atwood; Joshua J Coon; D Brent Weatherly
Journal:  Anal Chem       Date:  2013-02-12       Impact factor: 6.986

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