Literature DB >> 15814028

The dynamics of the proteome: strategies for measuring protein turnover on a proteome-wide scale.

Robert J Beynon1.   

Abstract

Quantitative proteomics captures the steady-state amount of a protein in a cell but does not explain how a change in protein amount is manifest -- whether through a change in synthesis or a change in degradation. If we are to understand the changes in the proteome, we will need to define such processes. In this brief review, strategies for the determination of intracellular protein dynamics on a proteome-wide scale are discussed.

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Year:  2005        PMID: 15814028     DOI: 10.1093/bfgp/3.4.382

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  11 in total

1.  Impact of Cystinosin Glycosylation on Protein Stability by Differential Dynamic Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC).

Authors:  Nathalie Nevo; Lucie Thomas; Cerina Chhuon; Zuzanna Andrzejewska; Joanna Lipecka; François Guillonneau; Anne Bailleux; Aleksander Edelman; Corinne Antignac; Ida Chiara Guerrera
Journal:  Mol Cell Proteomics       Date:  2017-01-12       Impact factor: 5.911

2.  Differentiating metabolites formed from de novo synthesis versus macromolecule decomposition.

Authors:  Jie Yuan; Joshua D Rabinowitz
Journal:  J Am Chem Soc       Date:  2007-07-07       Impact factor: 15.419

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
Journal:  Mol Cell Proteomics       Date:  2011-09-21       Impact factor: 5.911

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

5.  Principal Component Analysis of Proteome Dynamics in Iron-starved Mycobacterium Tuberculosis.

Authors:  Prahlad K Rao; Qingbo Li
Journal:  J Proteomics Bioinform       Date:  2009-01-15

6.  JUMPt: Comprehensive Protein Turnover Modeling of In Vivo Pulse SILAC Data by Ordinary Differential Equations.

Authors:  Surendhar Reddy Chepyala; Xueyan Liu; Ka Yang; Zhiping Wu; Alex M Breuer; Ji-Hoon Cho; Yuxin Li; Ariana Mancieri; Yun Jiao; Hui Zhang; Junmin Peng
Journal:  Anal Chem       Date:  2021-09-29       Impact factor: 6.986

7.  Active Degradation Explains the Distribution of Nuclear Proteins during Cellular Senescence.

Authors:  Enrico Giampieri; Marco De Cecco; Daniel Remondini; John Sedivy; Gastone Castellani
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

8.  SILAM for quantitative proteomics of liver Akt1/PKBα after burn injury.

Authors:  X-M Lu; R G Tompkins; A J Fischman
Journal:  Int J Mol Med       Date:  2011-12-14       Impact factor: 4.101

9.  A novel pulse-chase SILAC strategy measures changes in protein decay and synthesis rates induced by perturbation of proteostasis with an Hsp90 inhibitor.

Authors:  Ivo Fierro-Monti; Julien Racle; Celine Hernandez; Patrice Waridel; Vassily Hatzimanikatis; Manfredo Quadroni
Journal:  PLoS One       Date:  2013-11-27       Impact factor: 3.240

10.  A semi-quantitative GeLC-MS analysis of temporal proteome expression in the emerging nosocomial pathogen Ochrobactrum anthropi.

Authors:  Robert Leslie James Graham; Mohit K Sharma; Nigel G Ternan; D Brent Weatherly; Rick L Tarleton; Geoff McMullan
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

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