Computational modeling of the dynamics of spatiotemporal rho gtpase signaling

A systematic review

Shabnam Khatibi, Karina Islas Rios, Lan K. Nguyen

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

2 Citations (Scopus)

Abstract

The Rho family of GTPases are known to play pivotal roles in the regulation of fundamental cellular processes, ranging from cell migration and polarity to wound healing and regulation of actin cytoskeleton. Over the past decades, accumulating experimental work has increasingly mapped out the mechanistic details and interactions between members of the family and their regulators, establishing detailed interaction circuits within the Rho GTPase signaling network. These circuits have served as a vital foundation based on which a multitude of mathematical models have been developed to explain experimental data, gain deeper insights into the biological phenomenon they describe, as well as make new testable predictions and hypotheses. Due to the diverse nature and purpose of these models, they often vary greatly in size, scope, complexity, and formulation. Here, we provide a systematic, categorical, and comprehensive account of the recent modeling studies of Rho family GTPases, with an aim to offer a broad perspective of the field. The modeling limitations and possible future research directions are also discussed.
Original languageEnglish
Title of host publicationRho GTPases
EditorsFrancisco Rivero
Place of PublicationNew York, NY
PublisherHumana Press
Chapter1
Pages3-20
Number of pages18
ISBN (Electronic)9781493986125
ISBN (Print)9781493986118
DOIs
Publication statusPublished - 2018

Publication series

NameMethods in Molecular Biology
PublisherHumana Press
Volume1821
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • computational modeling
  • spatiotemporal dynamics
  • systems analysis
  • GTPase signaling network
  • Rac1
  • RhoA

Cite this

Khatibi, S., Rios, K. I., & Nguyen, L. K. (2018). Computational modeling of the dynamics of spatiotemporal rho gtpase signaling: A systematic review. In F. Rivero (Ed.), Rho GTPases (pp. 3-20). (Methods in Molecular Biology; Vol. 1821). New York, NY: Humana Press. https://doi.org/10.1007/978-1-4939-8612-5_1
Khatibi, Shabnam ; Rios, Karina Islas ; Nguyen, Lan K. / Computational modeling of the dynamics of spatiotemporal rho gtpase signaling : A systematic review. Rho GTPases. editor / Francisco Rivero. New York, NY : Humana Press, 2018. pp. 3-20 (Methods in Molecular Biology).
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Khatibi, S, Rios, KI & Nguyen, LK 2018, Computational modeling of the dynamics of spatiotemporal rho gtpase signaling: A systematic review. in F Rivero (ed.), Rho GTPases. Methods in Molecular Biology, vol. 1821, Humana Press, New York, NY, pp. 3-20. https://doi.org/10.1007/978-1-4939-8612-5_1

Computational modeling of the dynamics of spatiotemporal rho gtpase signaling : A systematic review. / Khatibi, Shabnam; Rios, Karina Islas; Nguyen, Lan K.

Rho GTPases. ed. / Francisco Rivero. New York, NY : Humana Press, 2018. p. 3-20 (Methods in Molecular Biology; Vol. 1821).

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

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Khatibi S, Rios KI, Nguyen LK. Computational modeling of the dynamics of spatiotemporal rho gtpase signaling: A systematic review. In Rivero F, editor, Rho GTPases. New York, NY: Humana Press. 2018. p. 3-20. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-4939-8612-5_1