Beta-Arrestins pp 195-215 | Cite as

Workflow Description to Dynamically Model β-Arrestin Signaling Networks

  • Romain YvinecEmail author
  • Mohammed Akli Ayoub
  • Francesco De Pascali
  • Pascale Crépieux
  • Eric Reiter
  • Anne Poupon
Part of the Methods in Molecular Biology book series (MIMB, volume 1957)


Dynamic models of signaling networks allow the formulation of hypotheses on the topology and kinetic rate laws characterizing a given molecular network, in-depth exploration, and confrontation with kinetic biological data. Despite its standardization, dynamic modeling of signaling networks still requires successive technical steps that need to be carefully performed. Here, we detail these steps by going through the mathematical and statistical framework. We explain how it can be applied to the understanding of β-arrestin-dependent signaling networks. We illustrate our methodology through the modeling of β-arrestin recruitment kinetics at the follicle-stimulating hormone (FSH) receptor supported by in-house bioluminescence resonance energy transfer (BRET) data.

Key words

β-Arrestins Dynamic models Biochemical reaction network Parameter identification Data fitting Model selection 


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Romain Yvinec
    • 1
    Email author
  • Mohammed Akli Ayoub
    • 1
    • 2
  • Francesco De Pascali
    • 1
  • Pascale Crépieux
    • 1
  • Eric Reiter
    • 1
  • Anne Poupon
    • 1
  1. 1.PRC, INRA, CNRS, IFCE, Université de Tours37380 NouzillyFrance
  2. 2.Biology Department, College of ScienceUnited Arab Emirates UniversityPO BOX 15551United Arab Emirates

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