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Modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors

BACKGROUND: The activation of phototransduction cascade in rod photoreceptors has been well studied in literature, but there is a lack of a mature kinetic model structure covering both the activation and inactivation processes. METHODS: In this work, a kinetic model structure is developed to describ...

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Detalles Bibliográficos
Autores principales: Pan, Guofeng, Tan, Jinglu, Guo, Ya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381673/
https://www.ncbi.nlm.nih.gov/pubmed/30786871
http://dx.doi.org/10.1186/s12886-019-1048-7
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author Pan, Guofeng
Tan, Jinglu
Guo, Ya
author_facet Pan, Guofeng
Tan, Jinglu
Guo, Ya
author_sort Pan, Guofeng
collection PubMed
description BACKGROUND: The activation of phototransduction cascade in rod photoreceptors has been well studied in literature, but there is a lack of a mature kinetic model structure covering both the activation and inactivation processes. METHODS: In this work, a kinetic model structure is developed to describe the major activation and inactivation processes in vertebrate rod photoreceptors with the electroretinogram (ERG) as output. Simulation was performed to validate developed model structure. RESULTS: The developed model structure could fit experimental data with small error. CONCLUSIONS: The result indicated that the developed model structure could show the inactivation process of phototransduction cascades in the rod photoreceptors.
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spelling pubmed-63816732019-03-01 Modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors Pan, Guofeng Tan, Jinglu Guo, Ya BMC Ophthalmol Research Article BACKGROUND: The activation of phototransduction cascade in rod photoreceptors has been well studied in literature, but there is a lack of a mature kinetic model structure covering both the activation and inactivation processes. METHODS: In this work, a kinetic model structure is developed to describe the major activation and inactivation processes in vertebrate rod photoreceptors with the electroretinogram (ERG) as output. Simulation was performed to validate developed model structure. RESULTS: The developed model structure could fit experimental data with small error. CONCLUSIONS: The result indicated that the developed model structure could show the inactivation process of phototransduction cascades in the rod photoreceptors. BioMed Central 2019-02-20 /pmc/articles/PMC6381673/ /pubmed/30786871 http://dx.doi.org/10.1186/s12886-019-1048-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Pan, Guofeng
Tan, Jinglu
Guo, Ya
Modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors
title Modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors
title_full Modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors
title_fullStr Modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors
title_full_unstemmed Modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors
title_short Modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors
title_sort modeling and simulation of phototransduction cascade in vertebrate rod photoreceptors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381673/
https://www.ncbi.nlm.nih.gov/pubmed/30786871
http://dx.doi.org/10.1186/s12886-019-1048-7
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