Literature DB >> 19724074

Measuring proteome dynamics in vivo: as easy as adding water?

Nadia Rachdaoui1, Leanne Austin, Eric Kramer, Michael J Previs, Vernon E Anderson, Takhar Kasumov, Stephen F Previs.   

Abstract

Proteomics investigations typically yield information regarding static gene expression profiles. The central issues that limit the study of proteome dynamics include how to (i) administer a labeled amino acid in vivo, (ii) measure the isotopic labeling of a protein(s) (which may be low), and (iii) reliably interpret the precursor/product labeling relationships. In this study, we demonstrate the potential of quantifying proteome dynamics by coupling the administration of stable isotopes with mass spectrometric assays. Although the direct administration of a labeled amino acid(s) is typically used to measure protein synthesis, we explain the application of labeled water, comparing (2)H(2)O versus H(2)(18)O for measuring albumin biosynthesis in vivo. This application emphasizes two distinct advantages of using labeled water over a labeled amino acid(s). First, in long term studies (e.g. days or weeks), it is not practical to continuously administer a labeled amino acid(s); however, in the presence of labeled water, organisms will generate labeled amino acids. Second, to calculate rates of protein synthesis in short term studies (e.g. hours), one must utilize a precursor/product labeling ratio; when using labeled water it is possible to reliably identify and easily measure the precursor labeling (i.e. water). We demonstrate that labeled water permits studies of protein synthesis (e.g. albumin synthesis in mice) during metabolic "steady-state" or "non-steady-state" conditions, i.e. integrating transitions between the fed and fasted state or during an acute perturbation (e.g. following a meal), respectively. We expect that the use of labeled water is applicable to wide scale investigations of proteome dynamics and can therein be used to obtain a functional image of gene expression in vivo.

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Year:  2009        PMID: 19724074      PMCID: PMC2816015          DOI: 10.1074/mcp.M900026-MCP200

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


  42 in total

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Journal:  Biochim Biophys Acta       Date:  2006-01-24

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Journal:  Proc Natl Acad Sci U S A       Date:  1958-05       Impact factor: 11.205

4.  Determination of protein replacement rates by deuterated water: validation of underlying assumptions.

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Journal:  Am J Physiol Endocrinol Metab       Date:  2007-01-16       Impact factor: 4.310

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Journal:  J Biol Chem       Date:  1972-08-10       Impact factor: 5.157

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Journal:  Am J Physiol       Date:  1993-01

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Journal:  Anal Biochem       Date:  2008-04-29       Impact factor: 3.365

8.  Inaccuracies in selected ion monitoring determination of isotope ratios obviated by profile acquisition: nucleotide 18O/16O measurements.

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Journal:  Anal Biochem       Date:  2007-04-02       Impact factor: 3.365

9.  Reproducibility of gas chromatography-mass spectrometry measurements of 2H labeling of water: application for measuring body composition in mice.

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10.  Quantifying rates of protein synthesis in humans by use of 2H2O: application to patients with end-stage renal disease.

Authors:  Stephen F Previs; Richard Fatica; Visvanathan Chandramouli; James C Alexander; Henri Brunengraber; Bernard R Landau
Journal:  Am J Physiol Endocrinol Metab       Date:  2003-12-23       Impact factor: 4.310

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  33 in total

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Authors:  Haihong Zhou; Wenyu Li; Sheng-Ping Wang; Vivienne Mendoza; Raymond Rosa; James Hubert; Kithsiri Herath; Theresa McLaughlin; Rory J Rohm; Michael E Lassman; Kenny K Wong; Douglas G Johns; Stephen F Previs; Brian K Hubbard; Thomas P Roddy
Journal:  J Lipid Res       Date:  2012-03-03       Impact factor: 5.922

2.  Proteome Dynamics Reveals Pro-Inflammatory Remodeling of Plasma Proteome in a Mouse Model of NAFLD.

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Journal:  J Proteome Res       Date:  2016-08-05       Impact factor: 4.466

3.  A data processing pipeline for mammalian proteome dynamics studies using stable isotope metabolic labeling.

Authors:  Shenheng Guan; John C Price; Stanley B Prusiner; Sina Ghaemmaghami; Alma L Burlingame
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Review 4.  Proteome dynamics: revisiting turnover with a global perspective.

Authors:  Amy J Claydon; Robert Beynon
Journal:  Mol Cell Proteomics       Date:  2012-11-02       Impact factor: 5.911

Review 5.  Protein analysis by shotgun/bottom-up proteomics.

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Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

6.  Protein kinetic signatures of the remodeling heart following isoproterenol stimulation.

Authors:  Maggie P Y Lam; Ding Wang; Edward Lau; David A Liem; Allen K Kim; Dominic C M Ng; Xiangbo Liang; Brian J Bleakley; Chenguang Liu; Jason D Tabaraki; Martin Cadeiras; Yibin Wang; Mario C Deng; Peipei Ping
Journal:  J Clin Invest       Date:  2014-03-10       Impact factor: 14.808

7.  Heavy Sugar and Heavy Water Create Tunable Intact Protein Mass Increases for Quantitative Mass Spectrometry in Any Feed and Organism.

Authors:  Jeniffer V Quijada; Nicholas D Schmitt; Joseph P Salisbury; Jared R Auclair; Jeffrey N Agar
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Review 8.  Spatial and temporal dynamics of the cardiac mitochondrial proteome.

Authors:  Edward Lau; Derrick Huang; Quan Cao; T Umut Dincer; Caitie M Black; Amanda J Lin; Jessica M Lee; Ding Wang; David A Liem; Maggie P Y Lam; Peipei Ping
Journal:  Expert Rev Proteomics       Date:  2015-03-09       Impact factor: 3.940

9.  Determination of steady-state protein breakdown rate in vivo by the disappearance of protein-bound tracer-labeled amino acids: a method applicable in humans.

Authors:  Lars Holm; Bruce O'Rourke; David Ebenstein; Michael J Toth; Rasmus Bechshoeft; Niels-Henrik Holstein-Rathlou; Michael Kjaer; Dwight E Matthews
Journal:  Am J Physiol Endocrinol Metab       Date:  2013-02-19       Impact factor: 4.310

10.  Cardiac mitochondrial proteome dynamics with heavy water reveals stable rate of mitochondrial protein synthesis in heart failure despite decline in mitochondrial oxidative capacity.

Authors:  Kadambari Chandra Shekar; Ling Li; Erinne R Dabkowski; Wenhong Xu; Rogerio Faustino Ribeiro; Peter A Hecker; Fabio A Recchia; Rovshan G Sadygov; Belinda Willard; Takhar Kasumov; William C Stanley
Journal:  J Mol Cell Cardiol       Date:  2014-07-01       Impact factor: 5.000

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