Literature DB >> 18954100

Turnover of the human proteome: determination of protein intracellular stability by dynamic SILAC.

Mary K Doherty1, Dean E Hammond, Michael J Clague, Simon J Gaskell, Robert J Beynon.   

Abstract

The proteome of any system is a dynamic entity, such that the intracellular concentration of a protein is dictated by the relative rates of synthesis and degradation. In this work, we have analyzed time-dependent changes in the incorporation of a stable amino acid resolved precursor, a protocol we refer to as "dynamic SILAC", using 1-D gel separation followed by in-gel digestion and LC-MS/MS analyses to profile the intracellular stability of almost 600 proteins from human A549 adenocarcinoma cells, requiring multiple measures of the extent of labeling with stable isotope labeled amino acids in a classic label-chase experiment. As turnover rates are acquired, a profile can be built up that allows exploration of the 'dynamic proteome' and of putative features that predispose a protein to a high or a low rate of turnover. Moreover, measurement of the turnover rate of individual components of supramolecular complexes provides a unique insight in processes of protein complex assembly and turnover.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 18954100     DOI: 10.1021/pr800641v

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  118 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.  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

3.  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

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

5.  SILACtor: software to enable dynamic SILAC studies.

Authors:  Michael R Hoopmann; Juan D Chavez; James E Bruce
Journal:  Anal Chem       Date:  2011-10-27       Impact factor: 6.986

6.  Peptidomic analysis of HEK293T cells: effect of the proteasome inhibitor epoxomicin on intracellular peptides.

Authors:  Lloyd D Fricker; Julia S Gelman; Leandro M Castro; Fabio C Gozzo; Emer S Ferro
Journal:  J Proteome Res       Date:  2012-02-16       Impact factor: 4.466

7.  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

8.  A proteogenomics approach integrating proteomics and ribosome profiling increases the efficiency of protein identification and enables the discovery of alternative translation start sites.

Authors:  Alexander Koch; Daria Gawron; Sandra Steyaert; Elvis Ndah; Jeroen Crappé; Sarah De Keulenaer; Ellen De Meester; Ming Ma; Ben Shen; Kris Gevaert; Wim Van Criekinge; Petra Van Damme; Gerben Menschaert
Journal:  Proteomics       Date:  2014-10-02       Impact factor: 3.984

9.  Feasibility of protein turnover studies in prototroph Saccharomyces cerevisiae strains.

Authors:  Miguel Martin-Perez; Judit Villén
Journal:  Anal Chem       Date:  2015-03-26       Impact factor: 6.986

10.  Characterization of the Ovarian Tumor Peptidome.

Authors:  Tao Liu; Karin D Rodland; Richard D Smith
Journal:  Vitam Horm       Date:  2018-02-22       Impact factor: 3.421

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.