A simple dynamic model that accounts for regulation of neuronal polarity
| Autor: | G. S. Withers, Rafael Doti, S.L. Kothari, Kanad Ray, Sergio Mejia-Romero, Jocelyn Faubert, J. E. Lugo |
|---|---|
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Journal of Integrative Neuroscience, Vol 17, Iss 4, Pp 323-330 (2018) |
| ISSN: | 1757-448X 0219-6352 |
| 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: | OpenAIRE |
| Externí odkaz: |
|