Literature DB >> 23192354

Dimerization and bifunctionality confer robustness to the isocitrate dehydrogenase regulatory system in Escherichia coli.

Joseph P Dexter1, Jeremy Gunawardena.   

Abstract

An important goal of systems biology is to develop quantitative models that explain how specific molecular features give rise to systems-level properties. Metabolic and regulatory pathways that contain multifunctional proteins are especially interesting to study from this perspective because they have frequently been observed to exhibit robustness: the ability for a system to perform its proper function even as levels of its components change. In this study, we use extensive biochemical data and algebraic modeling to develop and analyze a model that shows how robust behavior arises in the isocitrate dehydrogenase (IDH) regulatory system of Escherichia coli, which was shown in 1985 to experimentally exhibit robustness. E. coli IDH is regulated by reversible phosphorylation catalyzed by the bifunctional isocitrate dehydrogenase kinase/phosphatase (IDHKP), and the level of IDH activity determines whether carbon flux is directed through the glyoxylate bypass (for growth on two-carbon substrates) or the full tricarboxylic acid cycle. Our model, which incorporates recent structural data on IDHKP, identifies several specific biochemical features of the system (including homodimerization of IDH and bifunctionality of IDHKP) that provide a potential explanation for robustness. Using algebraic techniques, we derive an invariant that summarizes the steady-state relationship between the phospho-forms of IDH. We use the invariant in combination with kinetic data on IDHKP to calculate IDH activity at a range of total IDH levels and find that our model predicts robustness. Our work unifies much of the known biochemistry of the IDH regulatory system into a single quantitative framework and highlights the importance of constructing biochemically realistic models in systems biology.

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Year:  2012        PMID: 23192354      PMCID: PMC3581427          DOI: 10.1074/jbc.M112.339226

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  41 in total

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3.  Bacillus subtilis isocitrate dehydrogenase. A substrate analogue for Escherichia coli isocitrate dehydrogenase kinase/phosphatase.

Authors:  Satinder K Singh; Stephen P Miller; Antony Dean; Leonard J Banaszak; David C LaPorte
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Journal:  Math Biosci       Date:  2011-03-04       Impact factor: 2.144

5.  Phosphorylation of Isocitrate dehydrogenase of Escherichia coli.

Authors:  M Garnak; H C Reeves
Journal:  Science       Date:  1979-03-16       Impact factor: 47.728

Review 6.  The role and control of the glyoxylate cycle in Escherichia coli.

Authors:  H L Kornberg
Journal:  Biochem J       Date:  1966-04       Impact factor: 3.857

7.  Regulation of nitrogen metabolism in Escherichia coli and Klebsiella aerogenes: studies with the continuous-culture technique.

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8.  Signaling switches and bistability arising from multisite phosphorylation in protein kinase cascades.

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9.  Robustness and the cycle of phosphorylation and dephosphorylation in a two-component regulatory system.

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-09       Impact factor: 11.205

10.  Comparative analysis of Erk phosphorylation suggests a mixed strategy for measuring phospho-form distributions.

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3.  Transient absolute robustness in stochastic biochemical networks.

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5.  Absolutely robust controllers for chemical reaction networks.

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6.  Lack of evidence for substrate channeling or flux between wildtype and mutant isocitrate dehydrogenase to produce the oncometabolite 2-hydroxyglutarate.

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Journal:  J Biol Chem       Date:  2018-10-31       Impact factor: 5.157

7.  Robust network structure of the Sln1-Ypd1-Ssk1 three-component phospho-relay prevents unintended activation of the HOG MAPK pathway in Saccharomyces cerevisiae.

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8.  Circles within circles: crosstalk between protein Ser/Thr/Tyr-phosphorylation and Met oxidation.

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9.  Transcriptional and proteomic responses to carbon starvation in Paracoccidioides.

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10.  A network property necessary for concentration robustness.

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