Literature DB >> 24561560

Flux analysis in plant metabolic networks: increasing throughput and coverage.

Björn H Junker1.   

Abstract

Quantitative information about metabolic networks has been mainly obtained at the level of metabolite contents, transcript abundance, and enzyme activities. However, the active process of metabolism is represented by the flow of matter through the pathways. These metabolic fluxes can be predicted by Flux Balance Analysis or determined experimentally by (13)C-Metabolic Flux Analysis. These relatively complicated and time-consuming methods have recently seen significant improvements at the level of coverage and throughput. Metabolic models have developed from single cell models into whole-organism dynamic models. Advances in lab automation and data handling have significantly increased the throughput of flux measurements. This review summarizes advances to increase coverage and throughput of metabolic flux analysis in plants.
Copyright © 2014. Published by Elsevier Ltd.

Mesh:

Year:  2014        PMID: 24561560     DOI: 10.1016/j.copbio.2014.01.016

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  7 in total

1.  Inference and Prediction of Metabolic Network Fluxes.

Authors:  Zoran Nikoloski; Richard Perez-Storey; Lee J Sweetlove
Journal:  Plant Physiol       Date:  2015-09-21       Impact factor: 8.340

Review 2.  Metabolic network modeling with model organisms.

Authors:  L Safak Yilmaz; Albertha Jm Walhout
Journal:  Curr Opin Chem Biol       Date:  2017-01-12       Impact factor: 8.822

Review 3.  Research using Mesenchymal Stem/Stromal Cells: quality metric towards developing a reference material.

Authors:  Vivek Tanavde; Candida Vaz; Mahendra S Rao; Mohan C Vemuri; Radhika R Pochampally
Journal:  Cytotherapy       Date:  2015-09       Impact factor: 5.414

Review 4.  Methods and advances in metabolic flux analysis: a mini-review.

Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

Review 5.  Integrated network analysis and effective tools in plant systems biology.

Authors:  Atsushi Fukushima; Shigehiko Kanaya; Kozo Nishida
Journal:  Front Plant Sci       Date:  2014-11-04       Impact factor: 5.753

6.  In silico metabolic network analysis of Arabidopsis leaves.

Authors:  Veronique Beckers; Lisa Maria Dersch; Katrin Lotz; Guido Melzer; Oliver Ernst Bläsing; Regine Fuchs; Thomas Ehrhardt; Christoph Wittmann
Journal:  BMC Syst Biol       Date:  2016-10-29

7.  Elucidating temporal resource allocation and diurnal dynamics in phototrophic metabolism using conditional FBA.

Authors:  Marco Rügen; Alexander Bockmayr; Ralf Steuer
Journal:  Sci Rep       Date:  2015-10-26       Impact factor: 4.379

  7 in total

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