Dataset Information

Ota2015 - Positive regulation of Rho GTPase activity by RhoGDIs as a result of their direct interaction with GAPs (GDI integrated)

ABSTRACT: This is a ordinary differential equation mathematical model describing the Rho GTPase cycle in which Rho GDP-dissociation inhibitors (RhoGDIs) inhibit the regulatory activities of guanine nucleotide exchange factors (GEFs) and GTPase-activating proteins (GAPs) by interacting with them directly as well as by sequestering the Rho GTPases. The model was constructed with the intent of analyzing the role of RhoGDIs in Rho GTPase signaling.

SUBMITTER: Johannes Meyer

PROVIDER: BIOMD0000000899 | BioModels | 2024-09-02

REPOSITORIES: BioModels

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	BIOMD0000000899?filename=Ota2015_GDI-integrated.cps	Other
	BIOMD0000000899?filename=Ota2015_GDI-integrated.sedml	Other
	BIOMD0000000899?filename=Ota2015_GDI-integrated.xml	Xml

Items per page:

1 - 3 of 3

Publications

Positive regulation of Rho GTPase activity by RhoGDIs as a result of their direct interaction with GAPs.

Ota Takahide T Maeda Masayo M Okamoto Mayumi M Tatsuka Masaaki M

BMC systems biology 20150128

<h4>Background</h4>Rho GTPases function as molecular switches in many different signaling pathways and control a wide range of cellular processes. Rho GDP-dissociation inhibitors (RhoGDIs) regulate Rho GTPase signaling and can function as both negative and positive regulators. The role of RhoGDIs as negative regulators of Rho GTPase signaling has been extensively investigated; however, little is known about how RhoGDIs act as positive regulators. Furthermore, it is unclear how this opposing role ...[more]

PMID: 25628036

Similar Datasets

Project description:Croft2013 - GPCR-RGS interaction that compartmentalizes RGS activity Through modelling studies, the classic quaternary complex (ligand-GPCR-G-RGS) has been extended to include an additional layer of regulation through GPCR-RGS interactions, which facilitate the compartmentalization of RGS activity into the plasma membrane and non-plasma compartments. This model is described in the article: A physiologically required G protein-coupled receptor (GPCR)-regulator of G protein signaling (RGS) interaction that compartmentalizes RGS activity. Croft W, Hill C, McCann E, Bond M, Esparza-Franco M, Bennett J, Rand D, Davey J, Ladds G. J Biol Chem. 2013 Sep 20;288(38):27327-42. Abstract: G protein-coupled receptors (GPCRs) can interact with regulator of G protein signaling (RGS) proteins. However, the effects of such interactions on signal transduction and their physiological relevance have been largely undetermined. Ligand-bound GPCRs initiate by promoting exchange of GDP for GTP on the Gα subunit of heterotrimeric G proteins. Signaling is terminated by hydrolysis of GTP to GDP through intrinsic GTPase activity of the Gα subunit, a reaction catalyzed by RGS proteins. Using yeast as a tool to study GPCR signaling in isolation, we define an interaction between the cognate GPCR (Mam2) and RGS (Rgs1), mapping the interaction domains. This reaction tethers Rgs1 at the plasma membrane and is essential for physiological signaling response. In vivo quantitative data inform the development of a kinetic model of the GTPase cycle, which extends previous attempts by including GPCR-RGS interactions. In vivo and in silico data confirm that GPCR-RGS interactions can impose an additional layer of regulation through mediating RGS subcellular localization to compartmentalize RGS activity within a cell, thus highlighting their importance as potential targets to modulate GPCR signaling pathways. Author's comment on reproducing the plots: To reproduce dose-response plots in the publication, the model is simulated with 12 different ligand concentrations (see parameter Ligand_conc). For each ligand concentration, a single value corresponding to total amount of output must be obtained, by calculating the area under the curve of the trajectory of species z3, from time=0 to time=30. These total output values are then used to build a dose-response plot (authors used GraphPad Prism). Mutant strains are simulated with alternative parameter values or initial conditions specified in the Supplementary Material. This model is hosted on BioModels Database and identified by: BIOMD0000000479 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.