Literature DB >> 22077659

Proteome turnover in the green alga Ostreococcus tauri by time course 15N metabolic labeling mass spectrometry.

Sarah F Martin1, Vijaya S Munagapati, Eliane Salvo-Chirnside, Lorraine E Kerr, Thierry Le Bihan.   

Abstract

Protein synthesis and degradation determine the cellular levels of proteins, and their control hence enables organisms to respond to environmental change. Experimentally, these are little known proteome parameters; however, recently, SILAC-based mass spectrometry studies have begun to quantify turnover in the proteomes of cell lines, yeast, and animals. Here, we present a proteome-scale method to quantify turnover and calculate synthesis and degradation rate constants of individual proteins in autotrophic organisms such as algae and plants. The workflow is based on the automated analysis of partial stable isotope incorporation with (15)N. We applied it in a study of the unicellular pico-alga Ostreococcus tauri and observed high relative turnover in chloroplast-encoded ATPases (0.42-0.58% h(-1)), core photosystem II proteins (0.34-0.51% h(-1)), and RbcL (0.47% h(-1)), while nuclear-encoded RbcS2 is more stable (0.23% h(-1)). Mitochondrial targeted ATPases (0.14-0.16% h(-1)), photosystem antennae (0.09-0.14% h(-1)), and histones (0.07-0.1% h(-1)) were comparatively stable. The calculation of degradation and synthesis rate constants k(deg) and k(syn) confirms RbcL as the bulk contributor to overall protein turnover. This study performed over 144 h of incorporation reveals dynamics of protein complex subunits as well as isoforms targeted to different organelles.

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Year:  2011        PMID: 22077659     DOI: 10.1021/pr2009302

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


  20 in total

1.  Quantifying protein synthesis and degradation in Arabidopsis by dynamic 13CO2 labeling and analysis of enrichment in individual amino acids in their free pools and in protein.

Authors:  Hirofumi Ishihara; Toshihiro Obata; Ronan Sulpice; Alisdair R Fernie; Mark Stitt
Journal:  Plant Physiol       Date:  2015-03-25       Impact factor: 8.340

Review 2.  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

3.  Proteome Scale-Protein Turnover Analysis Using High Resolution Mass Spectrometric Data from Stable-Isotope Labeled Plants.

Authors:  Kai-Ting Fan; Aaron K Rendahl; Wen-Ping Chen; Dana M Freund; William M Gray; Jerry D Cohen; Adrian D Hegeman
Journal:  J Proteome Res       Date:  2016-01-29       Impact factor: 4.466

4.  Proteome dynamics and early salt stress response of the photosynthetic organism Chlamydomonas reinhardtii.

Authors:  Guido Mastrobuoni; Susann Irgang; Matthias Pietzke; Heike E Assmus; Markus Wenzel; Waltraud X Schulze; Stefan Kempa
Journal:  BMC Genomics       Date:  2012-05-31       Impact factor: 3.969

5.  Photobacterium profundum under pressure: a MS-based label-free quantitative proteomics study.

Authors:  Thierry Le Bihan; Joe Rayner; Marcia M Roy; Laura Spagnolo
Journal:  PLoS One       Date:  2013-05-31       Impact factor: 3.240

6.  Transfer RNAs Mediate the Rapid Adaptation of Escherichia coli to Oxidative Stress.

Authors:  Jiayong Zhong; Chuanle Xiao; Wei Gu; Gaofei Du; Xuesong Sun; Qing-Yu He; Gong Zhang
Journal:  PLoS Genet       Date:  2015-06-19       Impact factor: 5.917

7.  Mathematical modelling of the MAP kinase pathway using proteomic datasets.

Authors:  Tianhai Tian; Jiangning Song
Journal:  PLoS One       Date:  2012-08-08       Impact factor: 3.240

8.  Gel-based and gel-free quantitative proteomics approaches at a glance.

Authors:  Cosette Abdallah; Eliane Dumas-Gaudot; Jenny Renaut; Kjell Sergeant
Journal:  Int J Plant Genomics       Date:  2012-11-20

9.  Fibrinogen production is enhanced in an in-vitro model of non-alcoholic fatty liver disease: an isolated risk factor for cardiovascular events?

Authors:  Emily N W Yeung; Philipp Treskes; Sarah F Martin; Jonathan R Manning; Donald R Dunbar; Sophie M Rogers; Thierry Le Bihan; K Ann Lockman; Steven D Morley; Peter C Hayes; Leonard J Nelson; John N Plevris
Journal:  Lipids Health Dis       Date:  2015-08-10       Impact factor: 3.876

Review 10.  RNA function and phosphorus use by photosynthetic organisms.

Authors:  John A Raven
Journal:  Front Plant Sci       Date:  2013-12-26       Impact factor: 5.753

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