Cell signaling/ion channel variability effects on neuronal response (Anderson, Makadia, et al. 2015)

" ... 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]


Anderson WD, Makadia HK, Vadigepalli R. (2016). Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes. Journal of computational neuroscience. 40 [PubMed]

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