Literature DB >> 12581198

Deciphering metabolic networks.

Oliver Fiehn1, Wolfram Weckwerth.   

Abstract

All higher organisms divide major biochemical steps into different cellular compartments and often use tissue-specific division of metabolism for the same purpose. Such spatial resolution is accompanied with temporal changes of metabolite synthesis in response to environmental stimuli or developmental needs. Although analyses of primary and secondary gene products, i.e. transcripts, proteins, and metabolites, regularly do not cope with this spatial and temporal resolution, these gene products are often observed to be highly coregulated forming complex networks. Methods to study such networks are reviewed with respect to data acquisition, network statistics, and biochemical interpretation.

Mesh:

Year:  2003        PMID: 12581198     DOI: 10.1046/j.1432-1033.2003.03427.x

Source DB:  PubMed          Journal:  Eur J Biochem        ISSN: 0014-2956


  21 in total

1.  Differential metabolic networks unravel the effects of silent plant phenotypes.

Authors:  Wolfram Weckwerth; Marcelo Ehlers Loureiro; Kathrin Wenzel; Oliver Fiehn
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-10       Impact factor: 11.205

2.  Inverse drug screens: a rapid and inexpensive method for implicating molecular targets.

Authors:  Dany S Adams; Michael Levin
Journal:  Genesis       Date:  2006-11       Impact factor: 2.487

Review 3.  Database resources in metabolomics: an overview.

Authors:  Eden P Go
Journal:  J Neuroimmune Pharmacol       Date:  2009-05-07       Impact factor: 4.147

4.  Prediction of metabolic reactions based on atomic and molecular properties of small-molecule compounds.

Authors:  Fangping Mu; Clifford J Unkefer; Pat J Unkefer; William S Hlavacek
Journal:  Bioinformatics       Date:  2011-04-08       Impact factor: 6.937

Review 5.  Bioinformatics and systems biology of the lipidome.

Authors:  Shankar Subramaniam; Eoin Fahy; Shakti Gupta; Manish Sud; Robert W Byrnes; Dawn Cotter; Ashok Reddy Dinasarapu; Mano Ram Maurya
Journal:  Chem Rev       Date:  2011-09-23       Impact factor: 60.622

6.  Linking post-translational modifications and variation of phenotypic traits.

Authors:  Warren Albertin; Philippe Marullo; Marina Bely; Michel Aigle; Aurélie Bourgais; Olivier Langella; Thierry Balliau; Didier Chevret; Benoît Valot; Telma da Silva; Christine Dillmann; Dominique de Vienne; Delphine Sicard
Journal:  Mol Cell Proteomics       Date:  2012-12-27       Impact factor: 5.911

7.  Metabolism of levulinate in perfused rat livers and live rats: conversion to the drug of abuse 4-hydroxypentanoate.

Authors:  Stephanie R Harris; Guo-Fang Zhang; Sushabhan Sadhukhan; Anne M Murphy; Kristyen A Tomcik; Edwin J Vazquez; Vernon E Anderson; Gregory P Tochtrop; Henri Brunengraber
Journal:  J Biol Chem       Date:  2010-12-01       Impact factor: 5.157

8.  Metabolic profiling of the sink-to-source transition in developing leaves of quaking aspen.

Authors:  Mijeong Lee Jeong; Hongying Jiang; Huann-Sheng Chen; Chung-Jui Tsai; Scott A Harding
Journal:  Plant Physiol       Date:  2004-09-24       Impact factor: 8.340

Review 9.  [Molecular profiling and predictive signatures. Biomarker analysis in ovarian cancer].

Authors:  C Denkert
Journal:  Pathologe       Date:  2008-11       Impact factor: 1.011

10.  Iron-dependent modifications of the flower transcriptome, proteome, metabolome, and hormonal content in an Arabidopsis ferritin mutant.

Authors:  Damien Sudre; Elain Gutierrez-Carbonell; Giuseppe Lattanzio; Rubén Rellán-Álvarez; Frédéric Gaymard; Gert Wohlgemuth; Oliver Fiehn; Ana Alvarez-Fernández; Angel M Zamarreño; Eva Bacaicoa; Daniela Duy; Jose-María García-Mina; Javier Abadía; Katrin Philippar; Ana-Flor López-Millán; Jean-François Briat
Journal:  J Exp Bot       Date:  2013-05-16       Impact factor: 6.992

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