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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Acknowledgements
The authors gratefully acknowledge the support of the Institute for Mathematics and its Applications (IMA), where this work was initiated. This research has been supported in part by the National Institutes of Health under grant R01EY019053 (P.R.R.) and MH67094 (R.L.B.). E.G.C. was supported by National Institutes of Health under training grant NIH/NIGMS T32GM066706.
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Brown, R.L. et al. (2015). A Stochastic Model of the Melanopsin Phototransduction Cascade. In: Jackson, T., Radunskaya, A. (eds) Applications of Dynamical Systems in Biology and Medicine. The IMA Volumes in Mathematics and its Applications, vol 158. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2782-1_8
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DOI: https://doi.org/10.1007/978-1-4939-2782-1_8
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