Literature DB >> 17568637

Design of substrate label for steady state flux measurements in plant systems using the metabolic network of Brassica napus embryos.

Igor G L Libourel1, Jackson P Gehan, Yair Shachar-Hill.   

Abstract

Steady state metabolic flux analysis using (13)C labeled substrates is of growing importance in plant physiology and metabolic engineering. The quality of the flux estimates in (13)C metabolic flux analysis depend on the: (i) network structure; (ii) flux values; (iii) design of the labeling substrate; and (iv) label measurements performed. Whereas the first two parameters are facts of nature, the latter two are to some extent controlled by the experimenter, yet they have received little attention in most plant studies. Using the metabolic flux map of developing Brassica napus (Rapeseed) embryos, this study explores the value of optimal substrate label designs obtained with different statistical criteria and addresses the applicability of different optimal designs to biological questions. The results demonstrate the value of optimizing the choice of labeled substrates and show that substrate combinations commonly used in bacterial studies can be far from optimal for mapping fluxes in plant systems. The value of performing additional experiments and the inclusion of measurements is also evaluated.

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Year:  2007        PMID: 17568637     DOI: 10.1016/j.phytochem.2007.04.033

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  9 in total

1.  Capturing metabolite channeling in metabolic flux phenotypes.

Authors:  Thomas C R Williams; Lee J Sweetlove; R George Ratcliffe
Journal:  Plant Physiol       Date:  2011-09-06       Impact factor: 8.340

2.  A Combined Metabolomics and Fluxomics Analysis Identifies Steps Limiting Oil Synthesis in Maize Embryos.

Authors:  Jean-Christophe Cocuron; Mohamed Koubaa; Rebecca Kimmelfield; Zacchary Ross; Ana Paula Alonso
Journal:  Plant Physiol       Date:  2019-09-17       Impact factor: 8.340

3.  Metabolic network fluxes in heterotrophic Arabidopsis cells: stability of the flux distribution under different oxygenation conditions.

Authors:  Thomas C R Williams; Laurent Miguet; Shyam K Masakapalli; Nicholas J Kruger; Lee J Sweetlove; R George Ratcliffe
Journal:  Plant Physiol       Date:  2008-07-30       Impact factor: 8.340

4.  Carbon and nitrogen provisions alter the metabolic flux in developing soybean embryos.

Authors:  Doug K Allen; Jamey D Young
Journal:  Plant Physiol       Date:  2013-01-11       Impact factor: 8.340

5.  iMS2Flux--a high-throughput processing tool for stable isotope labeled mass spectrometric data used for metabolic flux analysis.

Authors:  C Hart Poskar; Jan Huege; Christian Krach; Mathias Franke; Yair Shachar-Hill; Björn H Junker
Journal:  BMC Bioinformatics       Date:  2012-11-12       Impact factor: 3.169

6.  Experimental flux measurements on a network scale.

Authors:  Jörg Schwender
Journal:  Front Plant Sci       Date:  2011-10-10       Impact factor: 5.753

7.  Quantification of peptide m/z distributions from 13C-labeled cultures with high-resolution mass spectrometry.

Authors:  Doug K Allen; Joshua Goldford; James K Gierse; Dominic Mandy; Christine Diepenbrock; Igor G L Libourel
Journal:  Anal Chem       Date:  2014-01-21       Impact factor: 6.986

8.  Non-conventional pathways enable pennycress (Thlaspi arvense L.) embryos to achieve high efficiency of oil biosynthesis.

Authors:  Enkhtuul Tsogtbaatar; Jean-Christophe Cocuron; Ana Paula Alonso
Journal:  J Exp Bot       Date:  2020-05-30       Impact factor: 6.992

9.  Experimental evidence and isotopomer analysis of mixotrophic glucose metabolism in the marine diatom Phaeodactylum tricornutum.

Authors:  Yuting Zheng; Andrew H Quinn; Ganesh Sriram
Journal:  Microb Cell Fact       Date:  2013-11-14       Impact factor: 5.328

  9 in total

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