Literature DB >> 20699386

Analysis of proteome dynamics in the mouse brain.

John C Price1, Shenheng Guan, Alma Burlingame, Stanley B Prusiner, Sina Ghaemmaghami.   

Abstract

Advances in systems biology have allowed for global analyses of mRNA and protein expression, but large-scale studies of protein dynamics and turnover have not been conducted in vivo. Protein turnover is an important metabolic and regulatory mechanism in establishing proteome homeostasis, impacting many physiological and pathological processes. Here, we have used organism-wide isotopic labeling to measure the turnover rates of approximately 2,500 proteins in multiple mouse tissues, spanning four orders of magnitude. Through comparison of the brain with the liver and blood, we show that within the respective tissues, proteins performing similar functions often have similar turnover rates. Proteins in the brain have significantly slower turnover (average lifetime of 9.0 d) compared with those of the liver (3.0 d) and blood (3.5 d). Within some organelles (such as mitochondria), proteins have a narrow range of lifetimes, suggesting a synchronized turnover mechanism. Protein subunits within complexes of variable composition have a wide range of lifetimes, whereas those within well-defined complexes turn over in a coordinated manner. Together, the data represent the most comprehensive in vivo analysis of mammalian proteome turnover to date. The developed methodology can be adapted to assess in vivo proteome homeostasis in any model organism that will tolerate a labeled diet and may be particularly useful in the analysis of neurodegenerative diseases in vivo.

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Year:  2010        PMID: 20699386      PMCID: PMC2922600          DOI: 10.1073/pnas.1006551107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

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3.  New stable isotope-mass spectrometric techniques for measuring fluxes through intact metabolic pathways in mammalian systems: introduction of moving pictures into functional genomics and biochemical phenotyping.

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Journal:  Metab Eng       Date:  2004-01       Impact factor: 9.783

Review 4.  Ubiquitination, protein turnover, and long-term synaptic plasticity.

Authors:  James H Schwartz
Journal:  Sci STKE       Date:  2003-07-08

5.  Targeting of HIF-alpha to the von Hippel-Lindau ubiquitylation complex by O2-regulated prolyl hydroxylation.

Authors:  P Jaakkola; D R Mole; Y M Tian; M I Wilson; J Gielbert; S J Gaskell; A von Kriegsheim; H F Hebestreit; M Mukherji; C J Schofield; P H Maxwell; C W Pugh; P J Ratcliffe
Journal:  Science       Date:  2001-04-05       Impact factor: 47.728

6.  HIFalpha targeted for VHL-mediated destruction by proline hydroxylation: implications for O2 sensing.

Authors:  M Ivan; K Kondo; H Yang; W Kim; J Valiando; M Ohh; A Salic; J M Asara; W S Lane; W G Kaelin
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7.  Effect of collagen turnover on the accumulation of advanced glycation end products.

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Journal:  J Biol Chem       Date:  2000-12-15       Impact factor: 5.157

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Review 9.  The COP9 signalosome.

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Journal:  Annu Rev Cell Dev Biol       Date:  2003       Impact factor: 13.827

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

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Journal:  Anal Chem       Date:  2004-09-01       Impact factor: 6.986

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  156 in total

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Authors:  Faraz A Sultan; Jeremy J Day
Journal:  Epigenomics       Date:  2011-04       Impact factor: 4.778

2.  Protein turnover quantification in a multilabeling approach: from data calculation to evaluation.

Authors:  Christian Trötschel; Stefan P Albaum; Daniel Wolff; Simon Schröder; Alexander Goesmann; Tim W Nattkemper; Ansgar Poetsch
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3.  The protein expression landscape of the Arabidopsis root.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-23       Impact factor: 11.205

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Journal:  Science       Date:  2012-02-02       Impact factor: 47.728

Review 5.  Proteomics of the Synapse--A Quantitative Approach to Neuronal Plasticity.

Authors:  Daniela C Dieterich; Michael R Kreutz
Journal:  Mol Cell Proteomics       Date:  2015-08-25       Impact factor: 5.911

6.  Molecular characterization of neuronal cell types based on patterns of projection with Retro-TRAP.

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Journal:  Nat Protoc       Date:  2015-08-06       Impact factor: 13.491

Review 7.  The Regulation of Synaptic Protein Turnover.

Authors:  Beatriz Alvarez-Castelao; Erin M Schuman
Journal:  J Biol Chem       Date:  2015-10-09       Impact factor: 5.157

8.  Identification of long-lived proteins reveals exceptional stability of essential cellular structures.

Authors:  Brandon H Toyama; Jeffrey N Savas; Sung Kyu Park; Michael S Harris; Nicholas T Ingolia; John R Yates; Martin W Hetzer
Journal:  Cell       Date:  2013-08-29       Impact factor: 41.582

Review 9.  Early Events in the Endoplasmic Reticulum Unfolded Protein Response.

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Journal:  Cold Spring Harb Perspect Biol       Date:  2019-04-01       Impact factor: 10.005

Review 10.  Protein homeostasis: live long, won't prosper.

Authors:  Brandon H Toyama; Martin W Hetzer
Journal:  Nat Rev Mol Cell Biol       Date:  2013-01       Impact factor: 94.444

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