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

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.

SEEK ID: https://fairdomhub.org/publications/356

PubMed ID: 22077659

Projects: Millar group

Publication type: Not specified

Journal: J Proteome Res

Citation: J Proteome Res. 2012 Jan 1;11(1):476-86. doi: 10.1021/pr2009302. Epub 2011 Dec 1.

Date Published: No date defined

Registered Mode: Not specified

Authors: S. F. Martin, V. S. Munagapati, E. Salvo-Chirnside, L. E. Kerr, T. Le Bihan

help Submitter
Activity

Views: 4205

Created: 14th Jan 2018 at 22:40

Last updated: 8th Dec 2022 at 17:26

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
(v.1.16.0-pre)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH