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Boolink: a graphical interface for open access Boolean network simulations and use in guard cell CO2 signaling.
Karanam, Aravind; He, David; Hsu, Po-Kai; Schulze, Sebastian; Dubeaux, Guillaume; Karmakar, Richa; Schroeder, Julian I; Rappel, Wouter-Jan.
Afiliação
  • Karanam A; Physics Department, University of California, San Diego, La Jolla, California 92093, USA.
  • He D; Physics Department, University of California, San Diego, La Jolla, California 92093, USA.
  • Hsu PK; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093-0116, USA.
  • Schulze S; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093-0116, USA.
  • Dubeaux G; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093-0116, USA.
  • Karmakar R; Physics Department, University of California, San Diego, La Jolla, California 92093, USA.
  • Schroeder JI; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093-0116, USA.
  • Rappel WJ; Physics Department, University of California, San Diego, La Jolla, California 92093, USA.
Plant Physiol ; 187(4): 2311-2322, 2021 12 04.
Article em En | MEDLINE | ID: mdl-34618035
ABSTRACT
Signaling networks are at the heart of almost all biological processes. Most of these networks contain large number of components, and often either the connections between these components are not known or the rate equations that govern the dynamics of soluble signaling components are not quantified. This uncertainty in network topology and parameters can make it challenging to formulate detailed mathematical models. Boolean networks, in which all components are either on or off, have emerged as viable alternatives to detailed mathematical models that contain rate constants and other parameters. Therefore, open-source platforms of Boolean models for community use are desirable. Here, we present Boolink, a freely available graphical user interface that allows users to easily construct and analyze existing Boolean networks. Boolink can be applied to any Boolean network. We demonstrate its application using a previously published network for abscisic acid (ABA)-driven stomatal closure in Arabidopsis spp. (Arabidopsis thaliana). We also show how Boolink can be used to generate testable predictions by extending the network to include CO2 regulation of stomatal movements. Predictions of the model were experimentally tested, and the model was iteratively modified based on experiments showing that ABA effectively closes Arabidopsis stomata at near-zero CO2 concentrations (1.5-ppm CO2). Thus, Boolink enables public generation and the use of existing Boolean models, including the prior developed ABA signaling model with added CO2 signaling components.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Bioquímicos / Algoritmos / Dióxido de Carbono / Transdução de Sinais / Estômatos de Plantas Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Physiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Bioquímicos / Algoritmos / Dióxido de Carbono / Transdução de Sinais / Estômatos de Plantas Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Physiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos