A simple dynamic model that accounts for regulation of neuronal polarity

Autor: J.E. Lugo, S. Mejia-Romero, R. Doti, K. Ray, S.L. Kothari, G. S. Withers, J. Faubert
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Integrative Neuroscience, Vol 17, Iss 4, Pp 323-330 (2018)
Druh dokumentu: article
ISSN: 1757-448X
DOI: 10.31083/j.jin.2018.04.0409
Popis: 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.
Databáze: Directory of Open Access Journals