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Emergent Bistable Switches from the Incoherent Feed-Forward Signaling of a Positive Feedback Loop.
Dey, Anupam; Barik, Debashis.
Afiliación
  • Dey A; School of Chemistry, University of Hyderabad, Central University P.O., Hyderabad, 500046, Telangana, India.
  • Barik D; School of Chemistry, University of Hyderabad, Central University P.O., Hyderabad, 500046, Telangana, India.
ACS Synth Biol ; 10(11): 3117-3128, 2021 11 19.
Article en En | MEDLINE | ID: mdl-34694110
ABSTRACT
Bistability is intrinsically connected to various decision making processes in living systems. The operating principles of a bistable switch, generated from a positive feedback loop, are well understood both in natural and synthetic settings. However, the fate of dynamic modularity of a positive feedback loop is unknown when it is connected to another dynamically modular signaling motif. In order to address this, here we investigate feed-forward signaling of a positive feedback loop to determine the fate of a bistable switch under such signaling. Using the potential energy based high-throughput bifurcation analysis method, we uncover that in addition to the conventional bistability the hybrid motifs generate various emergent bistable switches, namely mushroom and isola switches, which are not produced by the individual motifs. Using random parameter sampling, network perturbation, and phase plane analysis, we establish the design principles of such emergent behaviors. Incoherent feed-forward signaling of a positive feedback loop with distinct regulatory thresholds of the two arms of the feed-forward loop are the key requirements for such emergent behaviors. Our calculations show that the specific types of atypical bistable responses depend on the logic gate configuration of the signals. However, the emergent bistable behaviors of the hybrid networks do not depend on the nature of the positive feedback loop.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transducción de Señal / Retroalimentación Fisiológica Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Synth Biol Año: 2021 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transducción de Señal / Retroalimentación Fisiológica Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Synth Biol Año: 2021 Tipo del documento: Article País de afiliación: India
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