Literature DB >> 22154826

The use of heavy nitrogen in quantitative proteomics experiments in plants.

Borjana Arsova1, Sylwia Kierszniowska, Waltraud X Schulze.   

Abstract

In the growing field of plant systems biology, there is an undisputed need for methods allowing accurate quantitation of proteins and metabolites. As autotrophic organisms, plants can easily metabolize different nitrogen isotopes, resulting in proteins and metabolites with distinct molecular mass that can be separated on a mass spectrometer. In comparative quantitative experiments, treated and untreated samples are differentially labeled by nitrogen isotopes and jointly processed, thereby minimizing sample-to-sample variation. In recent years, heavy nitrogen labeling has become a widely used strategy in quantitative proteomics and novel approaches have been developed for metabolite identification. Here, we present an overview of currently used experimental strategies in heavy nitrogen labeling in plants and provide background on the history and function of this quantitation technique.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22154826     DOI: 10.1016/j.tplants.2011.11.001

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  14 in total

1.  Precision, proteome coverage, and dynamic range of Arabidopsis proteome profiling using (15)N metabolic labeling and label-free approaches.

Authors:  Borjana Arsova; Henrik Zauber; Waltraud X Schulze
Journal:  Mol Cell Proteomics       Date:  2012-05-05       Impact factor: 5.911

2.  Metabolic labeling and membrane fractionation for comparative proteomic analysis of Arabidopsis thaliana suspension cell cultures.

Authors:  Witold G Szymanski; Sylwia Kierszniowska; Waltraud X Schulze
Journal:  J Vis Exp       Date:  2013-09-28       Impact factor: 1.355

3.  Rapid Phosphoproteomic Effects of Abscisic Acid (ABA) on Wild-Type and ABA Receptor-Deficient A. thaliana Mutants.

Authors:  Benjamin B Minkoff; Kelly E Stecker; Michael R Sussman
Journal:  Mol Cell Proteomics       Date:  2015-02-18       Impact factor: 5.911

4.  Comparative Phosphoproteomic Analysis under High-Nitrogen Fertilizer Reveals Central Phosphoproteins Promoting Wheat Grain Starch and Protein Synthesis.

Authors:  Shoumin Zhen; Xiong Deng; Ming Zhang; Gengrui Zhu; Dongwen Lv; Yaping Wang; Dong Zhu; Yueming Yan
Journal:  Front Plant Sci       Date:  2017-01-30       Impact factor: 5.753

5.  A cost-effective approach to produce 15N-labelled amino acids employing Chlamydomonas reinhardtii CC503.

Authors:  Jesús Nicolás Carcelén; Juan Manuel Marchante-Gayón; Pablo Rodríguez González; Luis Valledor; María Jesús Cañal; José Ignacio García Alonso
Journal:  Microb Cell Fact       Date:  2017-08-18       Impact factor: 5.328

6.  Label-free protein quantification for plant Golgi protein localization and abundance.

Authors:  Nino Nikolovski; Pavel V Shliaha; Laurent Gatto; Paul Dupree; Kathryn S Lilley
Journal:  Plant Physiol       Date:  2014-08-13       Impact factor: 8.340

7.  Quantitation, networking, and function of protein phosphorylation in plant cell.

Authors:  Lin Zhu; Ning Li
Journal:  Front Plant Sci       Date:  2013-01-08       Impact factor: 5.753

8.  Systematic evaluation of reference protein normalization in proteomic experiments.

Authors:  Henrik Zauber; Vivian Schüler; Waltraud Schulze
Journal:  Front Plant Sci       Date:  2013-02-27       Impact factor: 5.753

9.  Quantitation of Vacuolar Sugar Transporter Abundance Changes Using QconCAT Synthtetic Peptides.

Authors:  Heidi Pertl-Obermeyer; Oliver Trentmann; Kerstin Duscha; H Ekkehard Neuhaus; Waltraud X Schulze
Journal:  Front Plant Sci       Date:  2016-04-12       Impact factor: 5.753

10.  Improved Quantitative Plant Proteomics via the Combination of Targeted and Untargeted Data Acquisition.

Authors:  Gene Hart-Smith; Rodrigo S Reis; Peter M Waterhouse; Marc R Wilkins
Journal:  Front Plant Sci       Date:  2017-09-27       Impact factor: 5.753

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