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2015 | OriginalPaper | Buchkapitel

A Stochastic Model of the Melanopsin Phototransduction Cascade

verfasst von : R. Lane Brown, Erika Camacho, Evan G. Cameron, Christina Hamlet, Kathleen A. Hoffman, Hye-Won Kang, Phyllis R. Robinson, Katherine S. Williams, Glenn R. Wyrick

Erschienen in: Applications of Dynamical Systems in Biology and Medicine

Verlag: Springer New York

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Abstract

Melanopsin is an unusual vertebrate photopigment that, in mammals, is expressed in a small subset of intrinsically photosensitive retinal ganglion cells (ipRGCs), whose signaling has been implicated in non-image forming vision, regulating such functions as circadian rhythms, pupillary light reflex, and sleep. The biochemical cascade underlying the light response in ipRGCs has not yet been fully elucidated. We developed a stochastic model of the hypothesized melanopsin phototransduction cascade and illustrated that the stochastic model can qualitatively reproduce experimental results under several different conditions. The model allows us to probe various mechanisms in the phototransduction cascade in a way that is not currently experimentally feasible.

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Metadaten
Titel
A Stochastic Model of the Melanopsin Phototransduction Cascade
verfasst von
R. Lane Brown
Erika Camacho
Evan G. Cameron
Christina Hamlet
Kathleen A. Hoffman
Hye-Won Kang
Phyllis R. Robinson
Katherine S. Williams
Glenn R. Wyrick
Copyright-Jahr
2015
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4939-2782-1_8