Literature DB >> 9746327

Subtleties in control by metabolic channelling and enzyme organization.

B N Kholodenko1, J M Rohwer, M Cascante, H V Westerhoff.   

Abstract

Because of its importance to cell function, the free-energy metabolism of the living cell is subtly and homeostatically controlled. Metabolic control analysis enables a quantitative determination of what controls the relevant fluxes. However, the original metabolic control analysis was developed for idealized metabolic systems, which were assumed to lack enzyme-enzyme association and direct metabolite transfer between enzymes (channelling). We here review the recently developed molecular control analysis, which makes it possible to study non-ideal (channelled, organized) systems quantitatively in terms of what controls the fluxes, concentrations, and transit times. We show that in real, non-ideal pathways, the central control laws, such as the summation theorem for flux control, are richer than in ideal systems: the sum of the control of the enzymes participating in a non-ideal pathway may well exceed one (the number expected in the ideal pathways), but may also drop to values below one. Precise expressions indicate how total control is determined by non-ideal phenomena such as ternary complex formation (two enzymes, one metabolite), and enzyme sequestration. The bacterial phosphotransferase system (PTS), which catalyses the uptake and concomitant phosphorylation of glucose (and also regulates catabolite repression) is analyzed as an experimental example of a non-ideal pathway. Here, the phosphoryl group is channelled between enzymes, which could increase the sum of the enzyme control coefficients to two, whereas the formation of ternary complexes could decrease the sum of the enzyme control coefficients to below one. Experimental studies have recently confirmed this identification, as well as theoretically predicted values for the total control. Macromolecular crowding was shown to be a major candidate for the factor that modulates the non-ideal behaviour of the PTS pathway and the sum of the enzyme control coefficients.

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Year:  1998        PMID: 9746327

Source DB:  PubMed          Journal:  Mol Cell Biochem        ISSN: 0300-8177            Impact factor:   3.396


  41 in total

1.  Control of the metabolic flux in a system with high enzyme concentrations and moiety-conserved cycles. The sum of the flux control coefficients can drop significantly below unity.

Authors:  B N Kholodenko; A E Lyubarev; B I Kurganov
Journal:  Eur J Biochem       Date:  1992-11-15

Review 2.  Channel your energies.

Authors:  J Ovádi; P A Srere
Journal:  Trends Biochem Sci       Date:  1992-11       Impact factor: 13.807

3.  Defining control coefficients in non-ideal metabolic pathways.

Authors:  B N Kholodenko; D Molenaar; S Schuster; R Heinrich; H V Westerhoff
Journal:  Biophys Chem       Date:  1995-11       Impact factor: 2.352

4.  Control in channelled pathways. A matrix method calculating the enzyme control coefficients.

Authors:  B N Kholodenko; H V Westerhoff; J Puigjaner; M Cascante
Journal:  Biophys Chem       Date:  1995-02       Impact factor: 2.352

Review 5.  Enzyme-enzyme interactions and control analysis. 2. The case of non-independence: heterologous associations.

Authors:  H M Sauro; H Kacser
Journal:  Eur J Biochem       Date:  1990-02-14

Review 6.  Enzyme-enzyme interactions and control analysis. 1. The case of non-additivity: monomer-oligomer associations.

Authors:  H Kacser; H M Sauro; L Acerenza
Journal:  Eur J Biochem       Date:  1990-02-14

7.  A linear steady-state treatment of enzymatic chains. General properties, control and effector strength.

Authors:  R Heinrich; T A Rapoport
Journal:  Eur J Biochem       Date:  1974-02-15

8.  A molecular model for the dependence of the osmotic pressure of bovine serum albumin upon concentration and pH.

Authors:  A P Minton
Journal:  Biophys Chem       Date:  1995-12       Impact factor: 2.352

Review 9.  The macroworld versus the microworld of biochemical regulation and control.

Authors:  B N Kholodenko; H V Westerhoff
Journal:  Trends Biochem Sci       Date:  1995-02       Impact factor: 13.807

10.  Control analysis applied to single enzymes: can an isolated enzyme have a unique rate-limiting step?

Authors:  G C Brown; C E Cooper
Journal:  Biochem J       Date:  1993-08-15       Impact factor: 3.857

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Journal:  Int J Mol Sci       Date:  2014-12-12       Impact factor: 5.923

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