Literature DB >> 8266747

Control involving metabolism and gene expression: the square-matrix method for modular decomposition.

H V Westerhoff1, D Kahn.   

Abstract

Control of DNA supercoiling by the free-energy of hydrolysis of ATP that involves gene expression is analyzed in terms of three levels of unconnected metabolic pathways. These are synthesis and breakdown of topoisomerase mRNAs, synthesis and breakdown of topoisomerase proteins and supercoiling and relaxation of DNA. The so-called square-matrix method previously developed for the control of metabolic pathways, is extended to deal with this hierarchical control system. It turns out that also in this case, the matrix of control coefficients is equal to the inverse of the so-called elasticity matrix, which contains all relevant elasticity coefficients as well as information about the structure and connectedness of the pathways involved. For a simpler case of a hierarchy of two systems, we demonstrate that the explicit matrix inversion method may be replaced by an implicit in which the regulatory effects that run through the other level are described by an additional elasticity coefficient which may then be treated as if local.

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Year:  1993        PMID: 8266747     DOI: 10.1007/bf00712776

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.774


  12 in total

1.  Control theory of regulatory cascades.

Authors:  D Kahn; H V Westerhoff
Journal:  J Theor Biol       Date:  1991-11-21       Impact factor: 2.691

2.  Matrix method for determining steps most rate-limiting to metabolic fluxes in biotechnological processes.

Authors:  H V Westerhoff; D B Kell
Journal:  Biotechnol Bioeng       Date:  1987-07       Impact factor: 4.530

3.  A 'top-down' approach to the determination of control coefficients in metabolic control theory.

Authors:  G C Brown; R P Hafner; M D Brand
Journal:  Eur J Biochem       Date:  1990-03-10

4.  The matrix method of metabolic control analysis: its validity for complex pathway structures.

Authors:  J R Small; D A Fell
Journal:  J Theor Biol       Date:  1989-01-23       Impact factor: 2.691

5.  Metabolic control and its analysis. Extensions to the theory and matrix method.

Authors:  H M Sauro; J R Small; D A Fell
Journal:  Eur J Biochem       Date:  1987-05-15

6.  The regulatory strength: how to be precise about regulation and homeostasis.

Authors:  D Kahn; H V Westerhoff
Journal:  Acta Biotheor       Date:  1993-06       Impact factor: 1.774

Review 7.  DNA topoisomerases.

Authors:  M Gellert
Journal:  Annu Rev Biochem       Date:  1981       Impact factor: 23.643

8.  Metabolic control and its analysis. Additional relationships between elasticities and control coefficients.

Authors:  D A Fell; H M Sauro
Journal:  Eur J Biochem       Date:  1985-05-02

9.  The control of enzyme systems in vivo: elasticity analysis of the steady state.

Authors:  H Kacser
Journal:  Biochem Soc Trans       Date:  1983-01       Impact factor: 5.407

10.  The control of flux.

Authors:  H Kacser; J A Burns
Journal:  Symp Soc Exp Biol       Date:  1973
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  4 in total

1.  Quantifying gene networks with regulatory strengths.

Authors:  Alberto de la Fuente; Pedro Mendes
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

Review 2.  Elusive control.

Authors:  H V Westerhoff; B N Kholodenko; M Cascante; K Van Dam
Journal:  J Bioenerg Biomembr       Date:  1995-10       Impact factor: 2.945

3.  Regulation and adaptation of glucose metabolism of the parasitic protist Leishmania donovani at the enzyme and mRNA levels.

Authors:  B H ter Kuile
Journal:  J Bacteriol       Date:  1999-08       Impact factor: 3.490

Review 4.  Metabolic control analysis: a tool for designing strategies to manipulate metabolic pathways.

Authors:  Rafael Moreno-Sánchez; Emma Saavedra; Sara Rodríguez-Enríquez; Viridiana Olín-Sandoval
Journal:  J Biomed Biotechnol       Date:  2008
  4 in total

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