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A network property necessary for concentration robustness.
Eloundou-Mbebi, Jeanne M O; Küken, Anika; Omranian, Nooshin; Kleessen, Sabrina; Neigenfind, Jost; Basler, Georg; Nikoloski, Zoran.
Afiliación
  • Eloundou-Mbebi JM; Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenber 1, 14476 Potsdam-Golm, Germany.
  • Küken A; Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenber 1, 14476 Potsdam-Golm, Germany.
  • Omranian N; Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenber 1, 14476 Potsdam-Golm, Germany.
  • Kleessen S; Targenomix, Am Muehlenberg 11, 14476 Potsdam-Golm, Germany.
  • Neigenfind J; Targenomix, Am Muehlenberg 11, 14476 Potsdam-Golm, Germany.
  • Basler G; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California 94720, USA.
  • Nikoloski Z; Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenber 1, 14476 Potsdam-Golm, Germany.
Nat Commun ; 7: 13255, 2016 10 19.
Article en En | MEDLINE | ID: mdl-27759015
ABSTRACT
Maintenance of functionality of complex cellular networks and entire organisms exposed to environmental perturbations often depends on concentration robustness of the underlying components. Yet, the reasons and consequences of concentration robustness in large-scale cellular networks remain largely unknown. Here, we derive a necessary condition for concentration robustness based only on the structure of networks endowed with mass action kinetics. The structural condition can be used to design targeted experiments to study concentration robustness. We show that metabolites satisfying the necessary condition are present in metabolic networks from diverse species, suggesting prevalence of this property across kingdoms of life. We also demonstrate that our predictions about concentration robustness of energy-related metabolites are in line with experimental evidence from Escherichia coli. The necessary condition is applicable to mass action biological systems of arbitrary size, and will enable understanding the implications of concentration robustness in genetic engineering strategies and medical applications.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Escherichia coli / Redes y Vías Metabólicas / Modelos Biológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2016 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Escherichia coli / Redes y Vías Metabólicas / Modelos Biológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2016 Tipo del documento: Article País de afiliación: Alemania