" ... We evaluated the impact of molecular variability in the expression of cell signaling components and ion channels on electrophysiological excitability and neuromodulation. We employed a computational approach that integrated neuropeptide receptor-mediated signaling with electrophysiology. We simulated a population of neurons in which expression levels of a neuropeptide receptor and multiple ion channels were simultaneously varied within a physiological range. We analyzed the effects of variation on the electrophysiological response to a neuropeptide stimulus. ..."
Model Type: Neuron or other electrically excitable cell; Channel/Receptor; Molecular Network
Cell Type(s): Brainstem neuron
Currents: I L high threshold; I A; I K,Ca; I Sodium; I Potassium; Na/Ca exchanger; I_Na,Ca; I_KD
Receptors: AT1R
Transmitters: Angiotensin
Model Concept(s): Activity Patterns; Action Potentials; Signaling pathways; Spike Frequency Adaptation; Parameter sensitivity; Depolarization block; G-protein coupled; Conductance distributions; Bifurcation; Synaptic noise; Neuromodulation
Simulation Environment: MATLAB
Implementer(s): Makadia, Hirenkumar K [hiren.makadia at gmail.com]; Anderson, Warren D [warren.anderson at jefferson.edu]; Vadigepalli, Rajanikanth [Rajanikanth.Vadigepalli at jefferson.edu]
References:
Anderson WD, Makadia HK, Vadigepalli R. (2016). Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes. Journal of computational neuroscience. 40 [PubMed]