Literature DB >> 21943915

Quantitative analysis of flux regulation through hierarchical regulation analysis.

Karen van Eunen1, Sergio Rossell, Jildau Bouwman, Hans V Westerhoff, Barbara M Bakker.   

Abstract

Regulation analysis is a methodology that quantifies to what extent a change in the flux through a metabolic pathway is regulated by either gene expression or metabolism. Two extensions to regulation analysis were developed over the past years: (i) the regulation of V(max) can be dissected into the various levels of the gene-expression cascade, such as transcription, translation, protein degradation, etc. and (ii) a time-dependent version allows following flux regulation when cells adapt to changes in their environment. The methodology of the original form of regulation analysis as well as of the two extensions will be described in detail. In addition, we will show what is needed to apply regulation analysis in practice. Studies in which the different versions of regulation analysis were applied revealed that flux regulation was distributed over various processes and depended on time, enzyme, and condition of interest. In the case of the regulation of glycolysis in baker's yeast, it appeared, however, that cells that remain under respirofermentative conditions during a physiological challenge tend to invoke more gene-expression regulation, while a shift between respirofermentative and respiratory conditions invokes an important contribution of metabolic regulation. The complexity of the regulation observed in these studies raises the question what is the advantage of this highly distributed and condition-dependent flux regulation.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21943915     DOI: 10.1016/B978-0-12-385118-5.00027-X

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  5 in total

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2.  Mitoenergetic Dysfunction Triggers a Rapid Compensatory Increase in Steady-State Glucose Flux.

Authors:  Dania C Liemburg-Apers; Tom J J Schirris; Frans G M Russel; Peter H G M Willems; Werner J H Koopman
Journal:  Biophys J       Date:  2015-10-06       Impact factor: 4.033

Review 3.  Metabolic host responses to infection by intracellular bacterial pathogens.

Authors:  Wolfgang Eisenreich; Jürgen Heesemann; Thomas Rudel; Werner Goebel
Journal:  Front Cell Infect Microbiol       Date:  2013-07-09       Impact factor: 5.293

4.  Running-wheel activity delays mitochondrial respiratory flux decline in aging mouse muscle via a post-transcriptional mechanism.

Authors:  Sarah Stolle; Jolita Ciapaite; Aaffien C Reijne; Alzbeta Talarovicova; Justina C Wolters; Raúl Aguirre-Gamboa; Pieter van der Vlies; Kim de Lange; Pieter B Neerincx; Gerben van der Vries; Patrick Deelen; Morris A Swertz; Yang Li; Rainer Bischoff; Hjalmar P Permentier; Peter L Horvatovitch; Albert K Groen; Gertjan van Dijk; Dirk-Jan Reijngoud; Barbara M Bakker
Journal:  Aging Cell       Date:  2017-11-09       Impact factor: 9.304

5.  Transcriptional regulation is insufficient to explain substrate-induced flux changes in Bacillus subtilis.

Authors:  Victor Chubukov; Markus Uhr; Ludovic Le Chat; Roelco J Kleijn; Matthieu Jules; Hannes Link; Stephane Aymerich; Jörg Stelling; Uwe Sauer
Journal:  Mol Syst Biol       Date:  2013-11-26       Impact factor: 11.429

  5 in total

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