Literature DB >> 16798750

Comparison of a Salmonella typhimurium proteome defined by shotgun proteomics directly on an LTQ-FT and by proteome pre-fractionation on an LCQ-DUO.

Brook L Nunn1, Scott A Shaffer, Alexander Scherl, Byron Gallis, Manhong Wu, Samuel I Miller, David R Goodlett.   

Abstract

Shotgun proteomics is rapidly becoming one of the most efficient and popular tools to examine protein expression in cells. Numerous laboratories now have a wide array of low- and high-performance mass spectrometry instrumentation necessary to complete proteome-wide projects. Often these laboratories have time and financial constraints that prohibit all projects from being conducted on high-performance state-of-the-art mass spectrometers. Here, we compare shotgun proteomic results using a direct 'lyse, digest and analyse' approach on a high-performance mass spectrometer (i.e. the LTQ-FT) with the results from a much lower-performance instrument (i.e. the LCQ-DUO) where, for the latter, various traditional protein pre-fractionation steps and gas-phase fractionation were used to increase the proteome coverage. Our results demonstrate that shotgun proteomic analyses conducted on the lower-performance LCQ-DUO mass spectrometer could adequately characterize a PhoP constitutive strain of Salmonella typhimurium if proteome pre-fractionation steps and gas-phase fractionation were included.

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Year:  2006        PMID: 16798750     DOI: 10.1093/bfgp/ell024

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  7 in total

1.  Glutathione transferase A4-4 resists adduction by 4-hydroxynonenal.

Authors:  Laura M Shireman; Kimberly A Kripps; Larissa M Balogh; Kip P Conner; Dale Whittington; William M Atkins
Journal:  Arch Biochem Biophys       Date:  2010-09-15       Impact factor: 4.013

2.  Mass spectral similarity for untargeted metabolomics data analysis of complex mixtures.

Authors:  Neha Garg; Clifford Kapono; Yan Wei Lim; Nobuhiro Koyama; Mark J A Vermeij; Douglas Conrad; Forest Rohwer; Pieter C Dorrestein
Journal:  Int J Mass Spectrom       Date:  2015-02-01       Impact factor: 1.986

3.  In silico instrumental response correction improves precision of label-free proteomics and accuracy of proteomics-based predictive models.

Authors:  Yaroslav Lyutvinskiy; Hongqian Yang; Dorothea Rutishauser; Roman A Zubarev
Journal:  Mol Cell Proteomics       Date:  2013-04-15       Impact factor: 5.911

4.  Identifying and tracking proteins through the marine water column: insights into the inputs and preservation mechanisms of protein in sediments.

Authors:  Eli K Moore; Brook L Nunn; David R Goodlett; H Rodger Harvey
Journal:  Geochim Cosmochim Acta       Date:  2012-01-24       Impact factor: 5.010

Review 5.  Use of high-throughput mass spectrometry to elucidate host-pathogen interactions in Salmonella.

Authors:  Karin D Rodland; Joshua N Adkins; Charles Ansong; Saiful Chowdhury; Nathan P Manes; Liang Shi; Hyunjin Yoon; Richard D Smith; Fred Heffron
Journal:  Future Microbiol       Date:  2008-12       Impact factor: 3.165

6.  Deciphering diatom biochemical pathways via whole-cell proteomics.

Authors:  Brook L Nunn; Jocelyn R Aker; Scott A Shaffer; Shannon Tsai; Robert F Strzepek; Philip W Boyd; Theodore Larson Freeman; Mitchell Brittnacher; Lars Malmström; David R Goodlett
Journal:  Aquat Microb Ecol       Date:  2009-06-03       Impact factor: 1.759

7.  Complete proteome of a quinolone-resistant Salmonella Typhimurium phage type DT104B clinical strain.

Authors:  Susana Correia; Júlio D Nunes-Miranda; Luís Pinto; Hugo M Santos; María de Toro; Yolanda Sáenz; Carmen Torres; José Luis Capelo; Patrícia Poeta; Gilberto Igrejas
Journal:  Int J Mol Sci       Date:  2014-08-15       Impact factor: 5.923

  7 in total

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