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A simple dynamic model that accounts for regulation of neuronal polarity

Authors :
J.E. Lugo, S. Mejia-Romero, R. Doti, K. Ray, S.L. Kothari, G. S. Withers, J. Faubert
Source :
Journal of Integrative Neuroscience, Vol 17, Iss 4, Pp 323-330 (2018)
Publication Year :
2018
Publisher :
IMR Press, 2018.

Abstract

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.

Details

Language :
English
ISSN :
1757448X
Volume :
17
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Journal of Integrative Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.43a6d6b2215140f39bbd88b2462ddf14
Document Type :
article
Full Text :
https://doi.org/10.31083/j.jin.2018.04.0409