Literature DB >> 11568497

Proteomics: analytical tools and techniques.

M J MacCoss1, J R Yates.   

Abstract

Scientists have long been interested in measuring the effects of different stimuli on protein expression and metabolism. Analytical methods are being developed for the automated separation, identification, and quantitation of all of the proteins within the cell. Soon, investigators will be able to observe the effects of an experiment on every protein (as opposed to a selected few). This review presents a discussion of recent technological advances in proteomics in addition to exploring current methodological limitations.

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Year:  2001        PMID： 11568497     DOI： 10.1097/00075197-200109000-00006

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN： 1363-1950            Impact factor:   4.294


  7 in total

1.  The convex basis of the left null space of the stoichiometric matrix leads to the definition of metabolically meaningful pools.

Authors:  Iman Famili; Bernhard O Palsson
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

2.  Proteomic identification of biomarkers of vascular injury.

Authors:  Ngan F Huang; Kyle Kurpinski; Qizhi Fang; Randall J Lee; Song Li
Journal:  Am J Transl Res       Date:  2010-11-21       Impact factor: 4.060

Review 3.  From molecules to mating: Rapid evolution and biochemical studies of reproductive proteins.

Authors:  Damien B Wilburn; Willie J Swanson
Journal:  J Proteomics       Date:  2015-06-11       Impact factor: 4.044

4.  Identification of the oxidative stress proteome in the brain.

Authors:  Rukhsana Sultana; D Allan Butterfield
Journal:  Free Radic Biol Med       Date:  2010-11-25       Impact factor: 7.376

Review 5.  Lipoproteomics: using mass spectrometry-based proteomics to explore the assembly, structure, and function of lipoproteins.

Authors:  Andrew N Hoofnagle; Jay W Heinecke
Journal:  J Lipid Res       Date:  2009-10       Impact factor: 5.922

6.  Guidelines for the routine application of the peptide hits technique.

Authors:  Ji Gao; Mark S Friedrichs; Ashok R Dongre; Gregory J Opiteck
Journal:  J Am Soc Mass Spectrom       Date:  2005-08       Impact factor: 3.109

7.  Deconvolution of mixture spectra from ion-trap data-independent-acquisition tandem mass spectrometry.

Authors:  Marshall Bern; Gregory Finney; Michael R Hoopmann; Gennifer Merrihew; Michael J Toth; Michael J MacCoss
Journal:  Anal Chem       Date:  2010-02-01       Impact factor: 6.986
  7 in total

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