Literature DB >> 16088002

Stable isotope labeling of Arabidopsis thaliana cells and quantitative proteomics by mass spectrometry.

Albrecht Gruhler1, Waltraud X Schulze, Rune Matthiesen, Matthias Mann, Ole N Jensen.   

Abstract

Quantitative analysis of protein expression is an important tool for the examination of complex biological systems. Albeit its importance, quantitative proteomics is still a challenging task because of the high dynamic range of protein amounts in the cell and the variation in the physical properties of proteins. Stable isotope labeling by amino acids in cell culture (SILAC) has been successfully used in yeast and mammalian cells to measure relative protein abundance by mass spectrometry. Here we show for the first time that proteins from Arabidopsis thaliana cell cultures can be selectively isotope-labeled in vivo by growing cells in the presence of a single stable isotope-labeled amino acid. Among the tested amino acids ([2H3]-leucine, [13C6]arginine, and [2H4]lysine), [13C6]arginine proved to be the most suitable. Incorporation of [13C6]arginine into the proteome was homogeneous and reached efficiencies of about 80%. [13C6]Arginine-labeled A. thaliana suspension cells were used to study the regulation of glutathione S-transferase expression in response to abiotic stress caused by salicylic acid and to identify proteins that bind specifically to phosphorylated 14-3-3 binding motifs on synthesized bait peptides in affinity purification experiments. In conclusion, the combination of stable isotope labeling of plant cells and mass spectrometry is a powerful technology that can be applied to study complex biological processes that involve changes in protein expression such as cellular responses to various kinds of stress or activation of cell signaling.

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Year:  2005        PMID: 16088002     DOI: 10.1074/mcp.M500190-MCP200

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


  41 in total

Review 1.  Recent progress in the understanding of tissue culture-induced genome level changes in plants and potential applications.

Authors:  Anjanasree K Neelakandan; Kan Wang
Journal:  Plant Cell Rep       Date:  2011-12-17       Impact factor: 4.570

2.  Glutathione transferases.

Authors:  David P Dixon; Robert Edwards
Journal:  Arabidopsis Book       Date:  2010-05-08

3.  Quantitative proteomics in plants: choices in abundance.

Authors:  Jay J Thelen; Scott C Peck
Journal:  Plant Cell       Date:  2007-11-30       Impact factor: 11.277

4.  Proteomic analysis of early germs with high-oil and normal inbred lines in maize.

Authors:  Zhanji Liu; Xiaohong Yang; Yang Fu; Yirong Zhang; Jianbin Yan; Tongming Song; T Rocheford; Jiansheng Li
Journal:  Mol Biol Rep       Date:  2008-06-04       Impact factor: 2.316

5.  In silico analysis of phosphoproteome data suggests a rich-get-richer process of phosphosite accumulation over evolution.

Authors:  Nozomu Yachie; Rintaro Saito; Junichi Sugahara; Masaru Tomita; Yasushi Ishihama
Journal:  Mol Cell Proteomics       Date:  2009-01-09       Impact factor: 5.911

6.  Absolute Quantitation of Oxidizable Peptides by Coulometric Mass Spectrometry.

Authors:  Pengyi Zhao; Richard N Zare; Hao Chen
Journal:  J Am Soc Mass Spectrom       Date:  2019-08-19       Impact factor: 3.109

Review 7.  Quantitative phosphoproteomics by mass spectrometry: past, present, and future.

Authors:  Aleksandra Nita-Lazar; Hideshiro Saito-Benz; Forest M White
Journal:  Proteomics       Date:  2008-11       Impact factor: 3.984

8.  Quantitative proteomics by metabolic labeling of model organisms.

Authors:  Joost W Gouw; Jeroen Krijgsveld; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2009-11-19       Impact factor: 5.911

9.  SILAC-based quantitative proteomic analysis of Drosophila gastrula stage embryos mutant for fibroblast growth factor signalling.

Authors:  Hamze Beati; Alistair Langlands; Sara Ten Have; H-Arno J Müller
Journal:  Fly (Austin)       Date:  2019-12-24       Impact factor: 2.160

10.  Extending SILAC to proteomics of plant cell lines.

Authors:  Wolfgang Schütz; Niklas Hausmann; Karsten Krug; Rüdiger Hampp; Boris Macek
Journal:  Plant Cell       Date:  2011-05-03       Impact factor: 11.277

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