Literature DB >> 22215636

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

Lei Li1, Clark J Nelson, Cory Solheim, James Whelan, A Harvey Millar.   

Abstract

The growth and development of plant tissues is associated with an ordered succession of cellular processes that are reflected in the appearance and disappearance of proteins. The control of the kinetics of protein turnover is central to how plants can rapidly and specifically alter protein abundance and thus molecular function in response to environmental or developmental cues. However, the processes of turnover are largely hidden during periods of apparent steady-state protein abundance, and even when proteins accumulate it is unclear whether enhanced synthesis or decreased degradation is responsible. We have used a (15)N labeling strategy with inorganic nitrogen sources coupled to a two-dimensional fluorescence difference gel electrophoresis and mass spectrometry analysis of two-dimensional IEF/SDS-PAGE gel spots to define the rate of protein synthesis (K(S)) and degradation (K(D)) of Arabidopsis cell culture proteins. Through analysis of MALDI-TOF/TOF mass spectra from 120 protein spots, we were able to quantify K(S) and K(D) for 84 proteins across six functional groups and observe over 65-fold variation in protein degradation rates. K(S) and K(D) correlate with functional roles of the proteins in the cell and the time in the cell culture cycle. This approach is based on progressive (15)N labeling that is innocuous for the plant cells and, because it can be used to target analysis of proteins through the use of specific gel spots, it has broad applicability.

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Year:  2012        PMID: 22215636      PMCID: PMC3433911          DOI: 10.1074/mcp.M111.010025

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


  50 in total

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2.  Inactive and protein precursor pools of amino acids in the soybean hypocotyl.

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3.  Comparative proteomic analysis of NaCl stress-responsive proteins in Arabidopsis roots.

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

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Journal:  Mol Cell Proteomics       Date:  2005-08-08       Impact factor: 5.911

5.  Characterization of amino acid pools in the vacuolar compartment of Saccharomyces cerevisiae.

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Journal:  Arch Microbiol       Date:  1974       Impact factor: 2.552

Review 6.  Pharmacological uses and perspectives of heavy water and deuterated compounds.

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7.  The early responses of Arabidopsis thaliana cells to cadmium exposure explored by protein and metabolite profiling analyses.

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8.  Expression and internal feedback regulation of ACC synthase and ACC oxidase genes in ripening tomato fruit.

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  24 in total

1.  Dynamic proteomics emphasizes the importance of selective mRNA translation and protein turnover during Arabidopsis seed germination.

Authors:  Marc Galland; Romain Huguet; Erwann Arc; Gwendal Cueff; Dominique Job; Loïc Rajjou
Journal:  Mol Cell Proteomics       Date:  2013-11-06       Impact factor: 5.911

2.  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

3.  Subcomplexes of ancestral respiratory complex I subunits rapidly turn over in vivo as productive assembly intermediates in Arabidopsis.

Authors:  Lei Li; Clark J Nelson; Chris Carrie; Ryan M R Gawryluk; Cory Solheim; Michael W Gray; James Whelan; A Harvey Millar
Journal:  J Biol Chem       Date:  2012-12-27       Impact factor: 5.157

4.  A reference-based protein degradation assay without global translation inhibitors.

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Journal:  J Biol Chem       Date:  2017-11-09       Impact factor: 5.157

5.  A Simple Light Isotope Metabolic Labeling (SLIM-labeling) Strategy: A Powerful Tool to Address the Dynamics of Proteome Variations In Vivo.

Authors:  Thibaut Léger; Camille Garcia; Laetitia Collomb; Jean-Michel Camadro
Journal:  Mol Cell Proteomics       Date:  2017-08-18       Impact factor: 5.911

6.  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

7.  INTERMEDIATE CLEAVAGE PEPTIDASE55 Modifies Enzyme Amino Termini and Alters Protein Stability in Arabidopsis Mitochondria.

Authors:  Shaobai Huang; Clark J Nelson; Lei Li; Nicolas L Taylor; Elke Ströher; Jakob Peteriet; A Harvey Millar
Journal:  Plant Physiol       Date:  2015-04-10       Impact factor: 8.340

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

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Journal:  Plant Physiol       Date:  2014-07-31       Impact factor: 8.340

9.  A Method of Accounting for Enzyme Costs in Flux Balance Analysis Reveals Alternative Pathways and Metabolite Stores in an Illuminated Arabidopsis Leaf.

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Journal:  Plant Physiol       Date:  2015-08-11       Impact factor: 8.340

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

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Journal:  J Proteome Res       Date:  2016-01-29       Impact factor: 4.466

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