Dataset Information

Kummer2000 - Oscillations in Calcium Signalling

ABSTRACT: Kummer2000 - Oscillations in Calcium Signalling Simplified (3-variable) calcium oscillation model Kummer et al. (2000) Biophys. J. 79, 1188-1195 This model is defined in a small compartment with low concentrations. You can run it first with the LSODA ODE solver and then with the Gillespie Monte Carlo method (in Time Course widget). This illustrates that at low particle numbers, as here, the stochastic simulation and the ODE approach produce different results (the stochastic approach is more correct in these circumstances). This file also demonstrates the use of several different plots to visualize results, including a histogram. This model is described in the article: Switching from simple to complex oscillations in calcium signaling. Kummer U, Olsen LF, Dixon CJ, Green AK, Bornberg-Bauer E, Baier G. Biophys. J. 2000 Sep; 79(3): 1188-1195 Abstract: We present a new model for calcium oscillations based on experiments in hepatocytes. The model considers feedback inhibition on the initial agonist receptor complex by calcium and activated phospholipase C, as well as receptor type-dependent self-enhanced behavior of the activated G(alpha) subunit. It is able to show simple periodic oscillations and periodic bursting, and it is the first model to display chaotic bursting in response to agonist stimulations. Moreover, our model offers a possible explanation for the differences in dynamic behavior observed in response to different agonists in hepatocytes. This model is hosted on BioModels Database and identified by: BIOMD0000000329. 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.

SUBMITTER: Vijayalakshmi Chelliah

PROVIDER: BIOMD0000000329 | BioModels | 2014-12-11

REPOSITORIES: BioModels

ACCESS DATA

Publications

Switching from simple to complex oscillations in calcium signaling.

Kummer U U Olsen L F LF Dixon C J CJ Green A K AK Bornberg-Bauer E E Baier G G

Biophysical journal 20000901 3

We present a new model for calcium oscillations based on experiments in hepatocytes. The model considers feedback inhibition on the initial agonist receptor complex by calcium and activated phospholipase C, as well as receptor type-dependent self-enhanced behavior of the activated G(alpha) subunit. It is able to show simple periodic oscillations and periodic bursting, and it is the first model to display chaotic bursting in response to agonist stimulations. Moreover, our model offers a possible ...[more]

PMID: 10968983

Similar Datasets

Project description:Borghans1997 - Calcium Oscillation - Model 2 A theoretical expoloration of possible mechanisms of intracellular calcium oscillations has been studied, considering three hypothesis (see below). This model corresponds to the second hypothesis. This model is described in the article: Complex intracellular calcium oscillations. A theoretical exploration of possible mechanisms. Borghans JM, Dupont G, Goldbeter A. Biophys. Chem. 1997 May; 66(1): 25-41 Abstract: Intracellular Ca(2+) oscillations are commonly observed in a large number of cell types in response to stimulation by an extracellular agonist. In most cell types the mechanism of regular spiking is well understood and models based on Ca(2+)-induced Ca(2+) release (CICR) can account for many experimental observations. However, cells do not always exhibit simple Ca(2+) oscillations. In response to given agonists, some cells show more complex behaviour in the form of bursting, i.e. trains of Ca(2+) spikes separated by silent phases. Here we develop several theoretical models, based on physiologically plausible assumptions, that could account for complex intracellular Ca(2+) oscillations. The models are all based on one- or two-pool models based on CICR. We extend these models by (i) considering the inhibition of the Ca(2+)-release channel on a unique intracellular store at high cytosolic Ca(2+) concentrations, (ii) taking into account the Ca(2+)-activated degradation of inositol 1,4,5-trisphosphate (IP(3)), or (iii) considering explicity the evolution of the Ca(2+) concentration in two different pools, one sensitive and the other one insensitive to IP(3). Besides simple periodic oscillations, these three models can all account for more complex oscillatory behaviour in the form of bursting. Moreover, the model that takes the kinetics of IP(3) into account shows chaotic behaviour. This model is hosted on BioModels Database and identified by: MODEL6622948601 . 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.

Project description:Borghans1997 - Calcium Oscillation - Model 3 A theoretical expoloration of possible mechanisms of intracellular calcium oscillations has been studied, considering three hypothesis. This model corresponds to the third hypothesis. This model is described in the article: Complex intracellular calcium oscillations. A theoretical exploration of possible mechanisms. Borghans JM, Dupont G, Goldbeter A. Biophys. Chem. 1997 May; 66(1): 25-41 Abstract: Intracellular Ca(2+) oscillations are commonly observed in a large number of cell types in response to stimulation by an extracellular agonist. In most cell types the mechanism of regular spiking is well understood and models based on Ca(2+)-induced Ca(2+) release (CICR) can account for many experimental observations. However, cells do not always exhibit simple Ca(2+) oscillations. In response to given agonists, some cells show more complex behaviour in the form of bursting, i.e. trains of Ca(2+) spikes separated by silent phases. Here we develop several theoretical models, based on physiologically plausible assumptions, that could account for complex intracellular Ca(2+) oscillations. The models are all based on one- or two-pool models based on CICR. We extend these models by (i) considering the inhibition of the Ca(2+)-release channel on a unique intracellular store at high cytosolic Ca(2+) concentrations, (ii) taking into account the Ca(2+)-activated degradation of inositol 1,4,5-trisphosphate (IP(3)), or (iii) considering explicity the evolution of the Ca(2+) concentration in two different pools, one sensitive and the other one insensitive to IP(3). Besides simple periodic oscillations, these three models can all account for more complex oscillatory behaviour in the form of bursting. Moreover, the model that takes the kinetics of IP(3) into account shows chaotic behaviour. This model is hosted on BioModels Database and identified by: MODEL6623009547 . 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.

Project description:Borghans1997 - Calcium Oscillation - Model 1 A theoretical expoloration of possible mechanisms of intracellular calcium oscillations has been studied, considering three hypothesis (see below). This model corresponds to the first hypothesis. This model is described in the article: Complex intracellular calcium oscillations. A theoretical exploration of possible mechanisms. Borghans JM, Dupont G, Goldbeter A. Biophys. Chem. 1997 May; 66(1): 25-41 Abstract: Intracellular Ca(2+) oscillations are commonly observed in a large number of cell types in response to stimulation by an extracellular agonist. In most cell types the mechanism of regular spiking is well understood and models based on Ca(2+)-induced Ca(2+) release (CICR) can account for many experimental observations. However, cells do not always exhibit simple Ca(2+) oscillations. In response to given agonists, some cells show more complex behaviour in the form of bursting, i.e. trains of Ca(2+) spikes separated by silent phases. Here we develop several theoretical models, based on physiologically plausible assumptions, that could account for complex intracellular Ca(2+) oscillations. The models are all based on one- or two-pool models based on CICR. We extend these models by (i) considering the inhibition of the Ca(2+)-release channel on a unique intracellular store at high cytosolic Ca(2+) concentrations, (ii) taking into account the Ca(2+)-activated degradation of inositol 1,4,5-trisphosphate (IP(3)), or (iii) considering explicity the evolution of the Ca(2+) concentration in two different pools, one sensitive and the other one insensitive to IP(3). Besides simple periodic oscillations, these three models can all account for more complex oscillatory behaviour in the form of bursting. Moreover, the model that takes the kinetics of IP(3) into account shows chaotic behaviour. This model is hosted on BioModels Database and identified by: MODEL6622689184 . 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.

Project description:This a model from the article: The phantom burster model for pancreatic beta-cells. Bertram R, Previte J, Sherman A, Kinard TA, Satin LS. Biophys J2000 Dec;79(6):2880-92 11106596, Abstract: Pancreatic beta-cells exhibit bursting oscillations with a wide range of periods. Whereas periods in isolated cells are generally either a few seconds or a few minutes, in intact islets of Langerhans they are intermediate (10-60 s). We develop a mathematical model for beta-cell electrical activity capable of generating this wide range of bursting oscillations. Unlike previous models, bursting is driven by the interaction of two slow processes, one with a relatively small time constant (1-5 s) and the other with a much larger time constant (1-2 min). Bursting on the intermediate time scale is generated without need for a slow process having an intermediate time constant, hence phantom bursting. The model suggests that isolated cells exhibiting a fast pattern may nonetheless possess slower processes that can be brought out by injecting suitable exogenous currents. Guided by this, we devise an experimental protocol using the dynamic clamp technique that reliably elicits islet-like, medium period oscillations from isolated cells. Finally, we show that strong electrical coupling between a fast burster and a slow burster can produce synchronized medium bursting, suggesting that islets may be composed of cells that are intrinsically either fast or slow, with few or none that are intrinsically medium. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Bertram R, Previte J, Sherman A, Kinard TA, Satin LS. (2000) - version02 This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. For more information see the terms of use. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Project description:Purpose: Many mammalian genes exhibit circadian expression patterns concordant with periodic binding of transcription factors, chromatin modifications and chromosomal interactions. We determined whether lamina-associated domains (LADs) display oscillatory circadian patterns of interaction with nuclear lamin B1 during hte circadian cycle, and identified any relationship to changes in gene expression patterns in oscillatory LADs or in their vinicity. Methods: To this end, we mapped LADs by chromatin immunoprecipitation-sequencing (ChIP-seq) of lamin B1 (LMNB1) (antibody ab16048, Abcam) from mouse livers colected every 6 h, for 30 h, after entrainment of the circadian clock by 24-h fasting and refeeding. Gene expression profiles were also analyzed by RNA-sequencing (RNA-seq) at the same time points. Results and Conclusions: We report periodic interactions of chromatin domains with nuclear lamin B1, suggesting rhythmic associations of fractions of the genome with the nuclear lamina. Entrainment of the circadian clock by fasting and refeeding is accompanied in mouse liver by a gain of lamin-chromatin interactions followed by oscillations in these interactions at hundreds of lamina-associated domains (LADs). A subset of these oscillations exhibit periodicity and affect one or both LAD borders or entire stand-alone LADs. Periodic LADs are however not a dominant feature of these variable LADs, as most LADs are conserved during the circadian cycle. LAD oscillations are for the most part asynchronous between the 5’ and 3’ ends of LADs. Periodic LADs also uncoupled from gene expression patterns, periodic or not, within or in vicinity of these LADs. Accordingly, periodic genes, including central clock-control genes, are located megabases away from LADs, suggesting their residence in a transcriptionally permissive environment throughout the circadian cycle. Our data suggest autonomous oscillatory associations of fractions of the genome with the nuclear lamina, providing new evidence for rhythmic spatial configurations of chromatin. However, our data also argue that periodic LADs constitute a minor fraction of variable LADs, and reflect stochasticity in variable lamin-chromatin interactions during the circadian cycle.

Dataset Information

Kummer2000 - Oscillations in Calcium Signalling

Publications

Switching from simple to complex oscillations in calcium signaling.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure