Literature DB >> 1686290

Control theory of regulatory cascades.

D Kahn1, H V Westerhoff.   

Abstract

We have extended Metabolic Control Theory to include cascades consisting of several modules controlling each other solely via regulatory effects. We derive several theorems that determine how the control properties of a cascade derive from (1) the control properties of each module, taken in isolation and (2) the regulatory interactions between the modules. Two cases are treated explicitly. The first concerns cascades in the absence of feed-back: in this case the internal control behaviour of each module is unaffected by external regulatory interactions. The second includes one feed-back loop and gives a quantitative expression of how feed-back modifies control properties: the internal control matrix within one module can be calculated as if the elasticity matrix of this module was the sum of its intrinsic elasticity matrix and a cyclic regulation matrix. More complex cascades can be analysed recursively by subdividing them into simpler modules, which can be treated individually. The theoretical framework developed here should facilitate quantitative experimental analysis of the control of cell physiology where the latter involves regulatory cascades.

Mesh:

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Year:  1991        PMID: 1686290     DOI: 10.1016/s0022-5193(05)80426-6

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  33 in total

1.  Gene regulatory networks generating the phenomena of additivity, dominance and epistasis.

Authors:  S W Omholt; E Plahte; L Oyehaug; K Xiang
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Product dependence and bifunctionality compromise the ultrasensitivity of signal transduction cascades.

Authors:  Fernando Ortega; Luis Acerenza; Hans V Westerhoff; Francesc Mas; Marta Cascante
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-05       Impact factor: 11.205

3.  Diffusion control of protein phosphorylation in signal transduction pathways.

Authors:  B N Kholodenko; G C Brown; J B Hoek
Journal:  Biochem J       Date:  2000-09-15       Impact factor: 3.857

Review 4.  Metabolic control analysis: a survey of its theoretical and experimental development.

Authors:  D A Fell
Journal:  Biochem J       Date:  1992-09-01       Impact factor: 3.857

Review 5.  Quantitative approaches to the analysis of the control and regulation of microbial metabolism.

Authors:  H V Westerhoff; W van Heeswijk; D Kahn; D B Kell
Journal:  Antonie Van Leeuwenhoek       Date:  1991 Oct-Nov       Impact factor: 2.271

6.  Oncogenes are to lose control on signaling following mutation: should we aim off target?

Authors:  Jorrit J Hornberg; Hans V Westerhoff
Journal:  Mol Biotechnol       Date:  2006-10       Impact factor: 2.695

7.  Quantifying gene networks with regulatory strengths.

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

8.  The two opposing activities of adenylyl transferase reside in distinct homologous domains, with intramolecular signal transduction.

Authors:  R Jaggi; W C van Heeswijk; H V Westerhoff; D L Ollis; S G Vasudevan
Journal:  EMBO J       Date:  1997-09-15       Impact factor: 11.598

9.  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

10.  Approaches to biosimulation of cellular processes.

Authors:  F J Bruggeman; H V Westerhoff
Journal:  J Biol Phys       Date:  2006-11-11       Impact factor: 1.365

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