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Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization.
Frank, Anna S; Larripa, Kamila; Ryu, Hwayeon; Snodgrass, Ryan G; Röblitz, Susanna.
Afiliação
  • Frank AS; Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway. Electronic address: Anna-Simone.Frank@uib.no.
  • Larripa K; Department of Mathematics, Humboldt State University, Arcata, CA, USA. Electronic address: kamila.larripa@humboldt.edu.
  • Ryu H; Department of Mathematics and Statistics, Elon University, Elon, NC, USA. Electronic address: hryu@elon.edu.
  • Snodgrass RG; Institute of Biochemistry, Goethe-University, Frankfurt, Germany. Electronic address: snodgrass@biochem.uni-frankfurt.de.
  • Röblitz S; Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway. Electronic address: Susanna.Roblitz@uib.no.
J Theor Biol ; 509: 110511, 2021 01 21.
Article em En | MEDLINE | ID: mdl-33045246
In this paper, we present and analyze a mathematical model for polarization of a single macrophage which, despite its simplicity, exhibits complex dynamics in terms of multistability. In particular, we demonstrate that an asymmetry in the regulatory mechanisms and parameter values is important for observing multiple phenotypes. Bifurcation and sensitivity analyses show that external signaling cues are necessary for macrophage commitment and emergence to a phenotype, but that the intrinsic macrophage pathways are equally important. Based on our numerical results, we formulate hypotheses that could be further investigated by laboratory experiments to deepen our understanding of macrophage polarization.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ativação de Macrófagos / Macrófagos Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ativação de Macrófagos / Macrófagos Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article