A mathematical model of evoked calcium dynamics in astrocytes (Handy et al 2017)

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Accession:189344
" ...Here we present a qualitative analysis of a recent mathematical model of astrocyte calcium responses. We show how the major response types are generated in the model as a result of the underlying bifurcation structure. By varying key channel parameters, mimicking blockers used by experimentalists, we manipulate this underlying bifurcation structure and predict how the distributions of responses can change. We find that store-operated calcium channels, plasma membrane bound channels with little activity during calcium transients, have a surprisingly strong effect, underscoring the importance of considering these channels in both experiments and mathematical settings. ..."
Reference:
1 . Handy G, Taheri M, White JA, Borisyuk A (2017) Mathematical investigation of IP3-dependent calcium dynamics in astrocytes. J Comput Neurosci [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Glia;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s): Ca pump; I_SERCA; I Calcium;
Gap Junctions:
Receptor(s): IP3;
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB; XPP;
Model Concept(s): Calcium dynamics; Oscillations; Bifurcation;
Implementer(s): Handy, Gregory [handy at math.utah.edu]; Taheri, Marsa ;
Search NeuronDB for information about:  IP3; I Calcium; I_SERCA; Ca pump;
This is the readme for the models associated with the paper:

Handy G, Taheri M, White JA, Borisyuk A (2017) Mathematical
investigation of IP3-dependent calcium dynamics in astrocytes.
J Comput Neurosci

These MATLAB and XPP files were contributed by G Handy.

Use example_ca_sim_TH.m to reproduce calcium simulations found in
Fig. 2 

Use autoRespTypeDetection_TH.m to generate calcium responses 
resulting from multiple (or all 600) underlying IP3 traces, as 
well as characterize those calcium and IP3 traces (in terms of, 
for example, amplitude, total duration, area under the curves, etc.).

Use ca_bifurcation_xpp.ode with XPPAUT to reproduce the bifurcation
diagrams found J. Computation Neuroscience (submitted)

Supporting_Functions contains all necessary functions to run the
simulations.

Histogram_Figures contains the data base of calcium response types
distributions for a range of parameter values (original figures can be
found in J. Computation Neuroscience (submitted))

Hopefully you have found this code helpful!

--Marsa Taheri and Gregory Handy

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