The role of stochastic sequestration dynamics for intrinsic noise filtering in signaling network motifs.
J Theor Biol
; 455: 86-96, 2018 10 14.
Article
em En
| MEDLINE
| ID: mdl-30017944
ABSTRACT
The relation between design principles of signaling network motifs and their robustness against intrinsic noise still remains illusive. In this work we investigate the role of cascading for coping with intrinsic noise due to stochasticity in molecular reactions. We use stochastic approaches to quantify fluctuations in the terminal kinase of phosphorylation-dephosphorylation cascade motifs and demonstrate that cascading highly affects these fluctuations. We show that this purely stochastic effect can be explained by time-varying sequestration of upstream kinase molecules. In particular, we discuss conditions on time scales and parameter regimes which lead to a reduction of output fluctuations. Our results are put into biological context by adapting rate parameters of our modeling approach to biologically feasible ranges for general binding-unbinding and phosphorylation-dephosphorylation mechanisms. Overall, this study reveals a novel role of stochastic sequestration for dynamic noise filtering in signaling cascade motifs.
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Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Fosfotransferases
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Simulação por Computador
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Transdução de Sinais
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Modelos Biológicos
Limite:
Animals
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Humans
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article