Dataset Information

Mazet2020 - model of the PI cycle

ABSTRACT: PI cycle Core Model Global Quantities = free + bound PL for PI, PIP2, PI4P, PIP3, PI34P2, DAG, PA. For PI initial quantity added in GQ is in organelle membranes NB: all labeled [xxgl] in plots select L.GPCR for GPCR simulations in Events select R for GqPCR receptor number simulations relevant plots = Core - IP3-DAG - PI3K-GPCR NB: Built using Particle Numbers flux are not properly calculated (enzymes are not written as modifiers)

SUBMITTER: Francoise M. Mazet

PROVIDER: MODEL2006300001 | BioModels | 2020-06-30

REPOSITORIES: BioModels

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Publications

A model of the PI cycle reveals the regulating roles of lipid-binding proteins and pitfalls of using mosaic biological data.

Mazet Francoise F Tindall Marcus J MJ Gibbins Jonathan M JM Fry Michael J MJ

Scientific reports 20200806 1

The phosphatidylinositol (PI) cycle is central to eukaryotic cell signaling. Its complexity, due to the number of reactions and lipid and inositol phosphate intermediates involved makes it difficult to analyze experimentally. Computational modelling approaches are seen as a way forward to elucidate complex biological regulatory mechanisms when this cannot be achieved solely through experimental approaches. Whilst mathematical modelling is well established in informing biological systems, many mo ...[more]

PMID: 32764630

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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.