Literature DB >> 14557599

Complementary analysis of the Mycobacterium tuberculosis proteome by two-dimensional electrophoresis and isotope-coded affinity tag technology.

Frank Schmidt1, Samuel Donahoe, Kristine Hagens, Jens Mattow, Ulrich E Schaible, Stefan H E Kaufmann, Ruedi Aebersold, Peter R Jungblut.   

Abstract

Classical proteomics combined two-dimensional gel electrophoresis (2-DE) for the separation and quantification of proteins in a complex mixture with mass spectrometric identification of selected proteins. More recently, the combination of liquid chromatography (LC), stable isotope tagging, and tandem mass spectrometry (MS/MS) has emerged as an alternative quantitative proteomics technology. We have analyzed the proteome of Mycobacterium tuberculosis, a major human pathogen comprising about 4,000 genes, by (i) 2-DE and mass spectrometry (MS) and by (ii) the isotope-coded affinity tag (ICAT) reagent method and MS/MS. The data obtained by either technology were compared with respect to their selectivity for certain protein types and classes and with respect to the accuracy of quantification. Initial datasets of 60,000 peptide MS/MS spectra and 1,800 spots for the ICAT-LC/MS and 2-DE/MS methods, respectively, were reduced to 280 and 108 conclusively identified and quantified proteins, respectively. ICAT-LC/MS showed a clear bias for high M(r) proteins and was complemented by the 2-DE/MS method, which showed a preference for low M(r) proteins and also identified cysteine-free proteins that were transparent to the ICAT-LC/MS method. Relative quantification between two strains of the M. tuberculosis complex also revealed that the two technologies provide complementary quantitative information; whereas the ICAT-LC/MS method quantifies the sum of the protein species of one gene product, the 2-DE/MS method quantifies at the level of resolved protein species, including post-translationally modified and processed polypeptides. Our data indicate that different proteomic technologies applied to the same sample provide complementary types of information that contribute to a more complete understanding of the biological system studied.

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Year:  2003        PMID: 14557599     DOI: 10.1074/mcp.M300074-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  39 in total

Review 1.  Proteomics for protein expression profiling in neuroscience.

Authors:  Willard M Freeman; Scott E Hemby
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

2.  Integration of high accuracy N-terminus identification in peptide sequencing and comparative protein analysis via isothiocyanate-based isotope labeling reagent with ESI ion-trap TOF MS.

Authors:  Jiapeng Leng; Haoyang Wang; Li Zhang; Jing Zhang; Hang Wang; Tingting Cai; Jinting Yao; Yinlong Guo
Journal:  J Am Soc Mass Spectrom       Date:  2011-04-15       Impact factor: 3.109

Review 3.  Approaches for targeted proteomics and its potential applications in neuroscience.

Authors:  Sumit Sethi; Dipti Chourasia; Ishwar S Parhar
Journal:  J Biosci       Date:  2015-09       Impact factor: 1.826

4.  A new protocol of analyzing isotope-coded affinity tag data from high-resolution LC-MS spectrometry.

Authors:  Weichuan Yu; Junfeng Liu; Chris Colangelo; Erol Gulcicek; Hongyu Zhao
Journal:  Comput Biol Chem       Date:  2007-03-20       Impact factor: 2.877

5.  Key Structural Motifs Balance Metal Binding and Oxidative Reactivity in a Heterobimetallic Mn/Fe Protein.

Authors:  Effie C Kisgeropoulos; Julia J Griese; Zachary R Smith; Rui M M Branca; Camille R Schneider; Martin Högbom; Hannah S Shafaat
Journal:  J Am Chem Soc       Date:  2020-03-09       Impact factor: 15.419

6.  Comparison of the membrane proteome of virulent Mycobacterium tuberculosis and the attenuated Mycobacterium bovis BCG vaccine strain by label-free quantitative proteomics.

Authors:  Harsha P Gunawardena; Meghan E Feltcher; John A Wrobel; Sheng Gu; Miriam Braunstein; Xian Chen
Journal:  J Proteome Res       Date:  2013-10-28       Impact factor: 4.466

7.  Mass spectrometry of the M. smegmatis proteome: protein expression levels correlate with function, operons, and codon bias.

Authors:  Rong Wang; John T Prince; Edward M Marcotte
Journal:  Genome Res       Date:  2005-08       Impact factor: 9.043

8.  Peptides of a novel Mycobacterium tuberculosis-specific cell wall protein for immunodiagnosis of tuberculosis.

Authors:  Krishna K Singh; Naresh Sharma; Diana Vargas; Zhentong Liu; John T Belisle; Visalakshi Potharaju; Ajay Wanchu; Digambar Behera; Suman Laal
Journal:  J Infect Dis       Date:  2009-08-15       Impact factor: 5.226

9.  Quantitative proteomic profiling of host-pathogen interactions: the macrophage response to Mycobacterium tuberculosis lipids.

Authors:  Wenqing Shui; Sarah A Gilmore; Leslie Sheu; Jun Liu; Jay D Keasling; Carolyn R Bertozzi
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

10.  Comparison of two label-free global quantitation methods, APEX and 2D gel electrophoresis, applied to the Shigella dysenteriae proteome.

Authors:  Srilatha Kuntumalla; John C Braisted; Shih-Ting Huang; Prashanth P Parmar; David J Clark; Hamid Alami; Quanshun Zhang; Arthur Donohue-Rolfe; Saul Tzipori; Robert D Fleischmann; Scott N Peterson; Rembert Pieper
Journal:  Proteome Sci       Date:  2009-06-29       Impact factor: 2.480

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