Literature DB >> 15373428

Metabolic labeling of mammalian organisms with stable isotopes for quantitative proteomic analysis.

Christine C Wu1, Michael J MacCoss, Kathryn E Howell, Dwight E Matthews, John R Yates.   

Abstract

To quantify proteins on a global level from mammalian tissue, a method was developed to metabolically introduce 15N stable isotopes into the proteins of Rattus norvegicus for use as internal standards. The long-term metabolic labeling of rats with a diet enriched in 15N did not result in adverse health consequences. The average 15N amino acid enrichments reflected the relative turnover rates in the different tissues and ranged from 74.3 mpe in brain to 92.2 mpe in plasma. Using the 15N-enriched liver as a quantitative internal standard, changes in individual protein levels in response to cycloheximide treatment were measured for 310 proteins. These measurements revealed 127 proteins with altered protein level (p < 0.05). Most proteins with altered level have previously reported functions involving xenobiotic metabolism and protein-folding machinery of the endoplasmic reticulum. This approach is a powerful tool for the global quantitation of proteins, is capable of measuring proteome-wide changes in response to a drug, and will be useful for studying animal models of disease. Copyright 2004 American Chemical Society

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Year:  2004        PMID: 15373428     DOI: 10.1021/ac049208j

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


  123 in total

1.  15N-labeled brain enables quantification of proteome and phosphoproteome in cultured primary neurons.

Authors:  Lujian Liao; Richard C Sando; John B Farnum; Peter W Vanderklish; Anton Maximov; John R Yates
Journal:  J Proteome Res       Date:  2011-12-02       Impact factor: 4.466

2.  The Lgr5 intestinal stem cell signature: robust expression of proposed quiescent '+4' cell markers.

Authors:  Javier Muñoz; Daniel E Stange; Arnout G Schepers; Marc van de Wetering; Bon-Kyoung Koo; Shalev Itzkovitz; Richard Volckmann; Kevin S Kung; Jan Koster; Sorina Radulescu; Kevin Myant; Rogier Versteeg; Owen J Sansom; Johan H van Es; Nick Barker; Alexander van Oudenaarden; Shabaz Mohammed; Albert J R Heck; Hans Clevers
Journal:  EMBO J       Date:  2012-06-12       Impact factor: 11.598

Review 3.  Quantitative phosphoproteomics: New technologies and applications in the DNA damage response.

Authors:  Huilin Zhou; Claudio P Albuquerque; Jason Liang; Raymond T Suhandynata; Stephanie Weng
Journal:  Cell Cycle       Date:  2010-09-26       Impact factor: 4.534

4.  Analysis of proteome dynamics in the mouse brain.

Authors:  John C Price; Shenheng Guan; Alma Burlingame; Stanley B Prusiner; Sina Ghaemmaghami
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-10       Impact factor: 11.205

Review 5.  Molecular and Cellular Mechanisms of Axonal Regeneration After Spinal Cord Injury.

Authors:  Erna A van Niekerk; Mark H Tuszynski; Paul Lu; Jennifer N Dulin
Journal:  Mol Cell Proteomics       Date:  2015-12-22       Impact factor: 5.911

Review 6.  A Biologist's Field Guide to Multiplexed Quantitative Proteomics.

Authors:  Corey E Bakalarski; Donald S Kirkpatrick
Journal:  Mol Cell Proteomics       Date:  2016-02-12       Impact factor: 5.911

7.  Quantitative proteomics: measuring protein synthesis using 15N amino acid labeling in pancreatic cancer cells.

Authors:  Yingchun Zhao; Wai-Nang Paul Lee; Shu Lim; Vay Liang Go; Jing Xiao; Rui Cao; Hengwei Zhang; Robert Roy Recker; Gary Guishan Xiao
Journal:  Anal Chem       Date:  2009-01-15       Impact factor: 6.986

8.  Tracking brain palmitoylation change: predominance of glial change in a mouse model of Huntington's disease.

Authors:  Junmei Wan; Jeffrey N Savas; Amy F Roth; Shaun S Sanders; Roshni R Singaraja; Michael R Hayden; John R Yates; Nicholas G Davis
Journal:  Chem Biol       Date:  2013-11-07

9.  Monitoring protein conformational changes and dynamics using stable-isotope labeling and mass spectrometry.

Authors:  Alem W Kahsai; Sudarshan Rajagopal; Jinpeng Sun; Kunhong Xiao
Journal:  Nat Protoc       Date:  2014-05-08       Impact factor: 13.491

10.  Quantitative analysis of complex peptide mixtures using FTMS and differential mass spectrometry.

Authors:  Fanyu Meng; Matthew C Wiener; Jeffrey R Sachs; Chrissina Burns; Priyanka Verma; Cloud P Paweletz; Matthew T Mazur; Ekaterina G Deyanova; Nathan A Yates; Ronald C Hendrickson
Journal:  J Am Soc Mass Spectrom       Date:  2006-10-25       Impact factor: 3.109

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