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Signal integration and information transfer in an allosterically regulated network.
Shockley, Erin M; Rouzer, Carol A; Marnett, Lawrence J; Deeds, Eric J; Lopez, Carlos F.
Afiliação
  • Shockley EM; 1Department of Biochemistry, Vanderbilt University, Nashville, TN 37212 USA.
  • Rouzer CA; 1Department of Biochemistry, Vanderbilt University, Nashville, TN 37212 USA.
  • Marnett LJ; 1Department of Biochemistry, Vanderbilt University, Nashville, TN 37212 USA.
  • Deeds EJ; 2Center for Computational Biology, University of Kansas, Lawrence, KS 66047 USA.
  • Lopez CF; 3Department of Molecular Biosciences, University of Kansas, Lawrence, KS 66047 USA.
NPJ Syst Biol Appl ; 5: 23, 2019.
Article em En | MEDLINE | ID: mdl-31341635
ABSTRACT
A biological reaction network may serve multiple purposes, processing more than one input and impacting downstream processes via more than one output. These networks operate in a dynamic cellular environment in which the levels of network components may change within cells and across cells. Recent evidence suggests that protein concentration variability could explain cell fate decisions. However, systems with multiple inputs, multiple outputs, and changing input concentrations have not been studied in detail due to their complexity. Here, we take a systems biochemistry approach, combining physiochemical modeling and information theory, to investigate how cyclooxygenase-2 (COX-2) processes simultaneous input signals within a complex interaction network. We find that changes in input levels affect the amount of information transmitted by the network, as does the correlation between those inputs. This, and the allosteric regulation of COX-2 by its substrates, allows it to act as a signal integrator that is most sensitive to changes in relative input levels.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Ciclo-Oxigenase 2 Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Ciclo-Oxigenase 2 Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article