Your browser doesn't support javascript.
loading
Ultrasensitivity in signaling cascades revisited: Linking local and global ultrasensitivity estimations.
Altszyler, Edgar; Ventura, Alejandra C; Colman-Lerner, Alejandro; Chernomoretz, Ariel.
Afiliação
  • Altszyler E; Laboratorio de Inteligencia Artificial Aplicada, Universidad de Buenos Aires, Departamento de Computación - CONICET, Ciudad Universitaria, Pabellón I, Buenos Aires, C1428EHA, Argentina.
  • Ventura AC; IFIBYNE-UBA-CONICET and Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pabellón II, Buenos Aires, C1428EHA, Argentina.
  • Colman-Lerner A; IFIBYNE-UBA-CONICET and Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pabellón II, Buenos Aires, C1428EHA, Argentina.
  • Chernomoretz A; Departamento de Física FCEN UBA - IFIBA CONICET, Ciudad Universitaria, Pabellón I, Buenos Aires, C1428EHA, Argentina.
PLoS One ; 12(6): e0180083, 2017.
Article em En | MEDLINE | ID: mdl-28662096
Ultrasensitive response motifs, capable of converting graded stimuli into binary responses, are well-conserved in signal transduction networks. Although it has been shown that a cascade arrangement of multiple ultrasensitive modules can enhance the system's ultrasensitivity, how a given combination of layers affects a cascade's ultrasensitivity remains an open question for the general case. Here, we introduce a methodology that allows us to determine the presence of sequestration effects and to quantify the relative contribution of each module to the overall cascade's ultrasensitivity. The proposed analysis framework provides a natural link between global and local ultrasensitivity descriptors and it is particularly well-suited to characterize and understand mathematical models used to study real biological systems. As a case study, we have considered three mathematical models introduced by O'Shaughnessy et al. to study a tunable synthetic MAPK cascade, and we show how our methodology can help modelers better understand alternative models.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais Tipo de estudo: Risk_factors_studies Idioma: En Revista: PLoS One Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais Tipo de estudo: Risk_factors_studies Idioma: En Revista: PLoS One Ano de publicação: 2017 Tipo de documento: Article