Literature DB >> 10191380

Increasing the flux in metabolic pathways: A metabolic control analysis perspective

.   

Abstract

The problems of engineering increased flux in metabolic pathways are analyzed in terms of the understanding provided by metabolic control analysis. Over-expression of a single enzyme is unlikely to be effective unless it is known to have a high flux control coefficient, which can be used as an approximate predictive tool. This is likely to rule out enzymes subject to feedback inhibition, because it transfers control downstream from the inhibited enzyme to the enzymes utilizing the feedback metabolite. Although abolishing feedback inhibition can restore flux control to an enzyme, it is also likely to cause large increases in the concentrations of metabolic intermediates. Simultaneous and coordinated over-expression of most of the enzymes in a pathway can, in principle, produce substantial flux increases without changes in metabolite levels, though technically it may be difficult to achieve. It is, however, closer to the method used by cells to change flux levels, where coordinated changes in the level of activity of pathway enzymes are the norm. Another option is to increase the demand for the pathway product, perhaps by increasing its rate of excretion or removal. Copyright 1998 John Wiley & Sons, Inc.

Year:  1998        PMID: 10191380     DOI: 10.1002/(sici)1097-0290(19980420)58:2/3<121::aid-bit2>3.0.co;2-n

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  29 in total

1.  Control of the threonine-synthesis pathway in Escherichia coli: a theoretical and experimental approach.

Authors:  C Chassagnole; D A Fell; B Raïs; B Kudla; J P Mazat
Journal:  Biochem J       Date:  2001-06-01       Impact factor: 3.857

2.  Occurrence of paradoxical or sustained control by an enzyme when overexpressed: necessary conditions and experimental evidence with regard to hepatic glucokinase.

Authors:  P De Atauri; L Acerenza; B N Kholodenko; N De La Iglesia; J J Guinovart; L Agius; M Cascante
Journal:  Biochem J       Date:  2001-05-01       Impact factor: 3.857

Review 3.  Microbial cellulose utilization: fundamentals and biotechnology.

Authors:  Lee R Lynd; Paul J Weimer; Willem H van Zyl; Isak S Pretorius
Journal:  Microbiol Mol Biol Rev       Date:  2002-09       Impact factor: 11.056

4.  Metabolomics and machine learning: explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules.

Authors:  Douglas B Kell
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

5.  Systems biology towards life in silico: mathematics of the control of living cells.

Authors:  Hans V Westerhoff; Alexey Kolodkin; Riaan Conradie; Stephen J Wilkinson; Frank J Bruggeman; Klaas Krab; Jan H van Schuppen; Hanna Hardin; Barbara M Bakker; Martijn J Moné; Katja N Rybakova; Marco Eijken; Hans J P van Leeuwen; Jacky L Snoep
Journal:  J Math Biol       Date:  2008-02-16       Impact factor: 2.259

6.  Model of tryptophan metabolism, readily scalable using tissue-specific gene expression data.

Authors:  Anne-Kristin Stavrum; Ines Heiland; Stefan Schuster; Pål Puntervoll; Mathias Ziegler
Journal:  J Biol Chem       Date:  2013-10-15       Impact factor: 5.157

7.  Effect of late promoter activity on bacteriophage lambda fitness.

Authors:  Yongping Shao; Ing-Nang Wang
Journal:  Genetics       Date:  2009-01-26       Impact factor: 4.562

8.  Metabolic control analysis aimed at the ribose synthesis pathways of tumor cells: a new strategy for antitumor drug development.

Authors:  Joan Boren; Antonio Ramos Montoya; Pedro de Atauri; Begoña Comin-Anduix; Antonio Cortes; Josep J Centelles; Wilma M Frederiks; Cornelis J F Van Noorden; Marta Cascante
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

9.  Sulphur flux through the sulphate assimilation pathway is differently controlled by adenosine 5'-phosphosulphate reductase under stress and in transgenic poplar plants overexpressing gamma-ECS, SO, or APR.

Authors:  Ursula Scheerer; Robert Haensch; Ralf R Mendel; Stanislav Kopriva; Heinz Rennenberg; Cornelia Herschbach
Journal:  J Exp Bot       Date:  2009-11-18       Impact factor: 6.992

10.  Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases.

Authors:  Douglas B Kell
Journal:  BMC Med Genomics       Date:  2009-01-08       Impact factor: 3.063

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.