Literature DB >> 16785652

Using the global proteome machine for protein identification.

Ronald C Beavis1.   

Abstract

This chapter describes the use of an open-source, freely available informatics system for the identification of proteins using tandem mass spectra of peptides derived from an enzymatic digest of a mixture of mature proteins. The chapter describes the use of features of the Global Proteome Machine (GPM) interface that assist in making comprehensive assignments between spectra and sequences, including the detection of point mutations, posttranslational modifications, and experimental artifacts. The use of this interface to validate results using the GPM Database is also described. This data repository allows analysts to compare their own results to those obtained by other scientists to determine the degree to which their data are consistent with previous measurements.

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Year:  2006        PMID: 16785652     DOI: 10.1385/1-59745-026-X:217

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  38 in total

1.  Targeting peptide termini, a novel immunoaffinity approach to reduce complexity in mass spectrometric protein identification.

Authors:  Sibylle Hoeppe; Thomas D Schreiber; Hannes Planatscher; Andreas Zell; Markus F Templin; Dieter Stoll; Thomas O Joos; Oliver Poetz
Journal:  Mol Cell Proteomics       Date:  2010-10-20       Impact factor: 5.911

2.  The human urine mannose 6-phosphate glycoproteome.

Authors:  David E Sleat; Haiyan Zheng; Peter Lobel
Journal:  Biochim Biophys Acta       Date:  2006-12-20

3.  Proteome informatics research group (iPRG)_2012: a study on detecting modified peptides in a complex mixture.

Authors:  Robert J Chalkley; Nuno Bandeira; Matthew C Chambers; Karl R Clauser; John S Cottrell; Eric W Deutsch; Eugene A Kapp; Henry H N Lam; W Hayes McDonald; Thomas A Neubert; Rui-Xiang Sun
Journal:  Mol Cell Proteomics       Date:  2013-10-31       Impact factor: 5.911

Review 4.  Online tools for bioinformatics analyses in nutrition sciences.

Authors:  Sridhar A Malkaram; Yousef I Hassan; Janos Zempleni
Journal:  Adv Nutr       Date:  2012-09-01       Impact factor: 8.701

5.  Glial fibrillary acidic protein is elevated in the lysosomal storage disease classical late-infantile neuronal ceroid lipofuscinosis, but is not a component of the storage material.

Authors:  Su Xu; David E Sleat; Michel Jadot; Peter Lobel
Journal:  Biochem J       Date:  2010-05-27       Impact factor: 3.857

6.  MALDI-MS derived prognostic protein markers for resected non-small cell lung cancer.

Authors:  Baogang J Xu; Adriana L Gonzalez; Takefumi Kikuchi; Kiyoshi Yanagisawa; Pierre P Massion; Huiyun Wu; Stephen E Mason; Sandy J Olson; Yu Shyr; David P Carbone; Richard M Caprioli
Journal:  Proteomics Clin Appl       Date:  2008-09-10       Impact factor: 3.494

7.  Proteomic analysis of mouse models of Niemann-Pick C disease reveals alterations in the steady-state levels of lysosomal proteins within the brain.

Authors:  David E Sleat; Jennifer A Wiseman; Istvan Sohar; Mukarram El-Banna; Haiyan Zheng; Dirk F Moore; Peter Lobel
Journal:  Proteomics       Date:  2012-11-22       Impact factor: 3.984

8.  Extending the mannose 6-phosphate glycoproteome by high resolution/accuracy mass spectrometry analysis of control and acid phosphatase 5-deficient mice.

Authors:  David E Sleat; Pengling Sun; Jennifer A Wiseman; Ling Huang; Mukarram El-Banna; Haiyan Zheng; Dirk F Moore; Peter Lobel
Journal:  Mol Cell Proteomics       Date:  2013-03-11       Impact factor: 5.911

9.  Using systems biology approaches to understand cardiac inflammation and extracellular matrix remodeling in the setting of myocardial infarction.

Authors:  Omid Ghasemi; Yonggang Ma; Merry L Lindsey; Yu-Fang Jin
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2014 Jan-Feb

10.  The mannose 6-phosphate glycoprotein proteome.

Authors:  David E Sleat; Maria Cecilia Della Valle; Haiyan Zheng; Dirk F Moore; Peter Lobel
Journal:  J Proteome Res       Date:  2008-05-29       Impact factor: 4.466

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