Literature DB >> 20525007

Measuring the turnover rates of Arabidopsis proteins using deuterium oxide: an auxin signaling case study.

Xiao-Yuan Yang1, Wen-Ping Chen, Aaron K Rendahl, Adrian D Hegeman, William M Gray, Jerry D Cohen.   

Abstract

Rapid environmental responses in plants rely on endogenous signaling mechanisms, which in many cases are mediated by changes in protein turnover rates. It is therefore necessary to develop methods for measuring protein dynamics that monitor large sets of plant proteins to begin to apply a systems biology approach to the study of plant behavior. The use of stable isotope labeling strategies that are adaptable to proteomic methods is particularly attractive for this purpose. Here, we explore one example of such methods that is particularly suitable for plants at the seedling stage, where measurement of amino acid and protein turnover rates is accomplished using a heavy water labeling strategy. The method is backed by microarray evaluation to define its feasibility for specific experimental approaches, and the CULLIN-ASSOCIATED AND NEDDYLATION DISSOCIATED 1 (CAND1) and TRANSPORT INHIBITOR RESPONSE 1 (TIR1) proteins are used to illustrate the potential utility in understanding hormonal signaling regulation. These studies provide insight not only into the potential utility of the method, but also address possible areas of concern regarding the use of heavy water labeling during plant growth. These considerations suggest a prescription for specific experimental designs that minimize interference resulting from the induction of treatment-specific gene expression in the results obtained.
© 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.

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Year:  2010        PMID: 20525007     DOI: 10.1111/j.1365-313X.2010.04266.x

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  11 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

2.  Determining degradation and synthesis rates of arabidopsis proteins using the kinetics of progressive 15N labeling of two-dimensional gel-separated protein spots.

Authors:  Lei Li; Clark J Nelson; Cory Solheim; James Whelan; A Harvey Millar
Journal:  Mol Cell Proteomics       Date:  2012-01-03       Impact factor: 5.911

3.  Protein Degradation Rate in Arabidopsis thaliana Leaf Growth and Development.

Authors:  Lei Li; Clark J Nelson; Josua Trösch; Ian Castleden; Shaobai Huang; A Harvey Millar
Journal:  Plant Cell       Date:  2017-01-30       Impact factor: 11.277

Review 4.  Magnesium magnetic isotope effects in microbiology.

Authors:  Ulyana G Letuta
Journal:  Arch Microbiol       Date:  2021-02-21       Impact factor: 2.552

5.  Proteins with high turnover rate in barley leaves estimated by proteome analysis combined with in planta isotope labeling.

Authors:  Clark J Nelson; Ralitza Alexova; Richard P Jacoby; A Harvey Millar
Journal:  Plant Physiol       Date:  2014-07-31       Impact factor: 8.340

6.  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

7.  Funaria hygrometrica Hedw. elevated tolerance to D2O: its use for the production of highly deuterated metabolites.

Authors:  Fredd Vergara; Misao Itouga; Roberto Gamboa Becerra; Masami Hirai; José Juan Ordaz-Ortiz; Robert Winkler
Journal:  Planta       Date:  2017-10-13       Impact factor: 4.116

8.  An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with 13C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research.

Authors:  Wen-Ping Chen; Xiao-Yuan Yang; Geoffrey L Harms; William M Gray; Adrian D Hegeman; Jerry D Cohen
Journal:  Proteome Sci       Date:  2011-02-10       Impact factor: 2.480

9.  Spatially resolved metabolic analysis reveals a central role for transcriptional control in carbon allocation to wood.

Authors:  Melissa Roach; Stéphanie Arrivault; Amir Mahboubi; Nicole Krohn; Ronan Sulpice; Mark Stitt; Totte Niittylä
Journal:  J Exp Bot       Date:  2017-06-15       Impact factor: 6.992

10.  Ultrastructure and Enzymatic Hydrolysis of Deuterated Switchgrass.

Authors:  Samarthya Bhagia; Xianzhi Meng; Barbara R Evans; John R Dunlap; Garima Bali; Jihua Chen; Kimberly Shawn Reeves; Hoi Chun Ho; Brian H Davison; Yunqiao Pu; Arthur J Ragauskas
Journal:  Sci Rep       Date:  2018-09-05       Impact factor: 4.379

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