Literature DB >> 16159317

Regulation of metabolic networks: understanding metabolic complexity in the systems biology era.

Lee J Sweetlove1, Alisdair R Fernie.   

Abstract

Metabolism is one of the best recognised networks within biological systems, but our understanding of metabolic regulation has been limited by a failure to consider regulation within the context of the whole network. With recent advances in theoretical aspects of network thinking and a postgenomic landscape in which our ability to quantify molecular changes at a systems level is unsurpassed, the time is ripe for the development of a new level of understanding of the regulation of plant metabolic networks. Theoretical advances such as the formal description of 'scale-free' networks have provided explanations for network behaviour (such as robustness). In parallel, the appreciation of the importance of new levels of the metabolic regulatory hierarchy (such as protein-protein interaction) and the continuing development of global profiling technologies is generating a system-wide molecular data set of increasing resolution. In this review we will argue that the integration of these different aspects of metabolic research will bring about a step change in our understanding of the regulation of metabolic networks in plants.

Mesh:

Year:  2005        PMID: 16159317     DOI: 10.1111/j.1469-8137.2005.01513.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  28 in total

1.  Combining genetic diversity, informatics and metabolomics to facilitate annotation of plant gene function.

Authors:  Takayuki Tohge; Alisdair R Fernie
Journal:  Nat Protoc       Date:  2010-06-10       Impact factor: 13.491

2.  Integrative Approaches to Enhance Understanding of Plant Metabolic Pathway Structure and Regulation.

Authors:  Takayuki Tohge; Federico Scossa; Alisdair R Fernie
Journal:  Plant Physiol       Date:  2015-09-14       Impact factor: 8.340

Review 3.  Strategies for metabolic pathway engineering with multiple transgenes.

Authors:  Ralph Bock
Journal:  Plant Mol Biol       Date:  2013-03-17       Impact factor: 4.076

4.  Glycolytic enzymes associate dynamically with mitochondria in response to respiratory demand and support substrate channeling.

Authors:  James W A Graham; Thomas C R Williams; Megan Morgan; Alisdair R Fernie; R George Ratcliffe; Lee J Sweetlove
Journal:  Plant Cell       Date:  2007-11-02       Impact factor: 11.277

5.  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

Review 6.  So what do we really mean when we say that systems biology is holistic?

Authors:  Derek Gatherer
Journal:  BMC Syst Biol       Date:  2010-03-12

7.  Correlation Network Analysis reveals a sequential reorganization of metabolic and transcriptional states during germination and gene-metabolite relationships in developing seedlings of Arabidopsis.

Authors:  Elizabeth Allen; Annick Moing; Timothy Md Ebbels; Mickaël Maucourt; A Deri Tomos; Dominique Rolin; Mark A Hooks
Journal:  BMC Syst Biol       Date:  2010-05-13

8.  Simulation of a Petri net-based model of the terpenoid biosynthesis pathway.

Authors:  Aliah Hazmah Hawari; Zeti-Azura Mohamed-Hussein
Journal:  BMC Bioinformatics       Date:  2010-02-09       Impact factor: 3.169

9.  The Arabidopsis wall associated kinase-like 10 gene encodes a functional guanylyl cyclase and is co-expressed with pathogen defense related genes.

Authors:  Stuart Meier; Oziniel Ruzvidzo; Monique Morse; Lara Donaldson; Lusisizwe Kwezi; Chris Gehring
Journal:  PLoS One       Date:  2010-01-26       Impact factor: 3.240

10.  Deciphering transcriptional and metabolic networks associated with lysine metabolism during Arabidopsis seed development.

Authors:  Ruthie Angelovici; Aaron Fait; Xiaohong Zhu; Jedrzej Szymanski; Ester Feldmesser; Alisdair R Fernie; Gad Galili
Journal:  Plant Physiol       Date:  2009-09-25       Impact factor: 8.340

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