IMR Press / JIN / Volume 17 / Issue 4 / DOI: 10.31083/j.jin.2018.04.0409
Open Access Research article
A simple dynamic model that accounts for regulation of neuronal polarity
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1 Faubert Lab, Universit ´e de Montr´ eal, H3T1P1, Canada
2 Amity School of Applied Sciences, Amity University, Rajasthan 303001, India
3 Amity Institute of biotechnology, Amity University, Rajasthan 303001, India
4 Department of Biology, Whitman College, Walla Walla, WA 99362, USA
*Correspondence: (K. Ray)
J. Integr. Neurosci. 2018, 17(4), 323–330;
Submitted: 26 July 2017 | Accepted: 7 November 2017 | Published: 15 November 2018
Copyright: © 2018 The authors. Published by IMR press.
This is an open access article under the CC BY 4.0 license.

It has been shown that competing molecular interactions of atypical protein kinase C isoforms regulate neuronal polarity. For instance, silencing one particular isoform known as protein kinase M- ζ or overexpression of a second isoform known as protein kinase C- λ in hippocampal neurons alters neuronal polarity, resulting in neurons with extra axons. In contrast, the overexpression of protein kinase M- ζ prevents axon specification. These data suggest that antagonistic competition between PKC isoforms could contribute to the development of polarity and axon specification. Here, an excitatory and inhibitory non-linear network model is employed to describe neuronal polarity under different conditions. The model shifts the balance of excitation and inhibition to replicate a variety of scenarios during axon outgrowth, which are then compared with experimental results.

axon formation
neuronal polarity
excitatory-inhibitory network
winner-take-all network
Fig. 1.
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