Literature DB >> 12376573

Dynamics of protein turnover, a missing dimension in proteomics.

Julie M Pratt1, June Petty, Isabel Riba-Garcia, Duncan H L Robertson, Simon J Gaskell, Stephen G Oliver, Robert J Beynon.   

Abstract

Functional genomic experiments frequently involve a comparison of the levels of gene expression between two or more genetic, developmental, or physiological states. Such comparisons can be carried out at either the RNA (transcriptome) or protein (proteome) level, but there is often a lack of congruence between parallel analyses using these two approaches. To fully interpret protein abundance data from proteomic experiments, it is necessary to understand the contributions made by the opposing processes of synthesis and degradation to the transition between the states compared. Thus, there is a need for reliable methods to determine the rates of turnover of individual proteins at amounts comparable to those obtained in proteomic experiments. Here, we show that stable isotope-labeled amino acids can be used to define the rate of breakdown of individual proteins by inspection of mass shifts in tryptic fragments. The approach has been applied to an analysis of abundant proteins in glucose-limited yeast cells grown in aerobic chemostat culture at steady state. The average rate of degradation of 50 proteins was 2.2%/h, although some proteins were turned over at imperceptible rates, and others had degradation rates of almost 10%/h. This range of values suggests that protein turnover is a significant missing dimension in proteomic experiments and needs to be considered when assessing protein abundance data and comparing it to the relative abundance of cognate mRNA species.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12376573     DOI: 10.1074/mcp.m200046-mcp200

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


  123 in total

1.  QTIPS: a novel method of unsupervised determination of isotopic amino acid distribution in SILAC experiments.

Authors:  David J Dilworth; Ramsey A Saleem; Richard S Rogers; Hamid Mirzaei; John Boyle; John D Aitchison
Journal:  J Am Soc Mass Spectrom       Date:  2010-04-08       Impact factor: 3.109

2.  Absolute quantification of the glycolytic pathway in yeast: deployment of a complete QconCAT approach.

Authors:  Kathleen M Carroll; Deborah M Simpson; Claire E Eyers; Christopher G Knight; Philip Brownridge; Warwick B Dunn; Catherine L Winder; Karin Lanthaler; Pinar Pir; Naglis Malys; Douglas B Kell; Stephen G Oliver; Simon J Gaskell; Robert J Beynon
Journal:  Mol Cell Proteomics       Date:  2011-09-19       Impact factor: 5.911

3.  Sperm competitive ability in Drosophila melanogaster associated with variation in male reproductive proteins.

Authors:  Anthony C Fiumera; Bethany L Dumont; Andrew G Clark
Journal:  Genetics       Date:  2004-09-30       Impact factor: 4.562

4.  Quantitative proteomics reveals new insights into erythrocyte invasion by Plasmodium falciparum.

Authors:  Claudia Kuss; Chee Sian Gan; Karthigayan Gunalan; Zbynek Bozdech; Siu Kwan Sze; Peter Rainer Preiser
Journal:  Mol Cell Proteomics       Date:  2011-10-24       Impact factor: 5.911

5.  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
Journal:  Mol Cell Proteomics       Date:  2012-04-06       Impact factor: 5.911

6.  Using bleach-chase to measure protein half-lives in living cells.

Authors:  Naama Geva-Zatorsky; Irina Issaeva; Avi Mayo; Ariel Cohen; Erez Dekel; Tamar Danon; Lydia Cohen; Yuvalal Liron; Uri Alon; Eran Eden
Journal:  Nat Protoc       Date:  2012-03-29       Impact factor: 13.491

7.  Tandem fluorescent protein timers for in vivo analysis of protein dynamics.

Authors:  Anton Khmelinskii; Philipp J Keller; Anna Bartosik; Matthias Meurer; Joseph D Barry; Balca R Mardin; Andreas Kaufmann; Susanne Trautmann; Malte Wachsmuth; Gislene Pereira; Wolfgang Huber; Elmar Schiebel; Michael Knop
Journal:  Nat Biotechnol       Date:  2012-06-24       Impact factor: 54.908

8.  Proteome-wide alterations in Escherichia coli translation rates upon anaerobiosis.

Authors:  Gertjan Kramer; Richard R Sprenger; Merel A Nessen; Winfried Roseboom; Dave Speijer; Luitzen de Jong; M Joost Teixeira de Mattos; JaapWillem Back; Chris G de Koster
Journal:  Mol Cell Proteomics       Date:  2010-08-16       Impact factor: 5.911

9.  Transcriptomic and proteomic characterization of the Fur modulon in the metal-reducing bacterium Shewanella oneidensis.

Authors:  Xiu-Feng Wan; Nathan C Verberkmoes; Lee Ann McCue; Dawn Stanek; Heather Connelly; Loren J Hauser; Liyou Wu; Xueduan Liu; Tingfen Yan; Adam Leaphart; Robert L Hettich; Jizhong Zhou; Dorothea K Thompson
Journal:  J Bacteriol       Date:  2004-12       Impact factor: 3.490

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.