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Pepperberg plot: Modeling flash response saturation in retinal rods of mouse

Retinal rods evolved to be able to detect single photons. Despite their exquisite sensitivity, rods operate over many log units of light intensity. Several processes inside photoreceptor cells make this incredible light adaptation possible. Here, we added to our previously developed, fully space res...

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Autores principales: Caruso, Giovanni, Klaus, Colin, Hamm, Heidi E., Gurevich, Vsevolod V., Bisegna, Paolo, Andreucci, Daniele, DiBenedetto, Emmanuele, Makino, Clint L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880052/
https://www.ncbi.nlm.nih.gov/pubmed/36710929
http://dx.doi.org/10.3389/fnmol.2022.1054449
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author Caruso, Giovanni
Klaus, Colin
Hamm, Heidi E.
Gurevich, Vsevolod V.
Bisegna, Paolo
Andreucci, Daniele
DiBenedetto, Emmanuele
Makino, Clint L.
author_facet Caruso, Giovanni
Klaus, Colin
Hamm, Heidi E.
Gurevich, Vsevolod V.
Bisegna, Paolo
Andreucci, Daniele
DiBenedetto, Emmanuele
Makino, Clint L.
author_sort Caruso, Giovanni
collection PubMed
description Retinal rods evolved to be able to detect single photons. Despite their exquisite sensitivity, rods operate over many log units of light intensity. Several processes inside photoreceptor cells make this incredible light adaptation possible. Here, we added to our previously developed, fully space resolved biophysical model of rod phototransduction, some of the mechanisms that play significant roles in shaping the rod response under high illumination levels: the function of RGS9 in shutting off G protein transducin, and calcium dependences of the phosphorylation rates of activated rhodopsin, of the binding of cGMP to the light-regulated ion channel, and of two membrane guanylate cyclase activities. A well stirred version of this model captured the responses to bright, saturating flashes in WT and mutant mouse rods and was used to explain “Pepperberg plots,” that graph the time during which the response is saturated against the natural logarithm of flash strength for bright flashes. At the lower end of the range, saturation time increases linearly with the natural logarithm of flash strength. The slope of the relation (τ(D)) is dictated by the time constant of the rate-limiting (slowest) step in the shutoff of the phototransduction cascade, which is the hydrolysis of GTP by transducin. We characterized mathematically the X-intercept ([Formula: see text]) which is the number of photoisomerizations that just saturates the rod response. It has been observed that for flash strengths exceeding a few thousand photoisomerizations, the curves depart from linearity. Modeling showed that the “upward bend” for very bright flash intensities could be explained by the dynamics of RGS9 complex and further predicted that there would be a plateau at flash strengths giving rise to more than ~10(7) photoisomerizations due to activation of all available PDE. The model accurately described alterations in saturation behavior of mutant murine rods resulting from transgenic perturbations of the cascade targeting membrane guanylate cyclase activity, and expression levels of GRK, RGS9, and PDE. Experimental results from rods expressing a mutant light-regulated channel purported to lack calmodulin regulation deviated from model predictions, suggesting that there were other factors at play.
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spelling pubmed-98800522023-01-28 Pepperberg plot: Modeling flash response saturation in retinal rods of mouse Caruso, Giovanni Klaus, Colin Hamm, Heidi E. Gurevich, Vsevolod V. Bisegna, Paolo Andreucci, Daniele DiBenedetto, Emmanuele Makino, Clint L. Front Mol Neurosci Molecular Neuroscience Retinal rods evolved to be able to detect single photons. Despite their exquisite sensitivity, rods operate over many log units of light intensity. Several processes inside photoreceptor cells make this incredible light adaptation possible. Here, we added to our previously developed, fully space resolved biophysical model of rod phototransduction, some of the mechanisms that play significant roles in shaping the rod response under high illumination levels: the function of RGS9 in shutting off G protein transducin, and calcium dependences of the phosphorylation rates of activated rhodopsin, of the binding of cGMP to the light-regulated ion channel, and of two membrane guanylate cyclase activities. A well stirred version of this model captured the responses to bright, saturating flashes in WT and mutant mouse rods and was used to explain “Pepperberg plots,” that graph the time during which the response is saturated against the natural logarithm of flash strength for bright flashes. At the lower end of the range, saturation time increases linearly with the natural logarithm of flash strength. The slope of the relation (τ(D)) is dictated by the time constant of the rate-limiting (slowest) step in the shutoff of the phototransduction cascade, which is the hydrolysis of GTP by transducin. We characterized mathematically the X-intercept ([Formula: see text]) which is the number of photoisomerizations that just saturates the rod response. It has been observed that for flash strengths exceeding a few thousand photoisomerizations, the curves depart from linearity. Modeling showed that the “upward bend” for very bright flash intensities could be explained by the dynamics of RGS9 complex and further predicted that there would be a plateau at flash strengths giving rise to more than ~10(7) photoisomerizations due to activation of all available PDE. The model accurately described alterations in saturation behavior of mutant murine rods resulting from transgenic perturbations of the cascade targeting membrane guanylate cyclase activity, and expression levels of GRK, RGS9, and PDE. Experimental results from rods expressing a mutant light-regulated channel purported to lack calmodulin regulation deviated from model predictions, suggesting that there were other factors at play. Frontiers Media S.A. 2023-01-13 /pmc/articles/PMC9880052/ /pubmed/36710929 http://dx.doi.org/10.3389/fnmol.2022.1054449 Text en Copyright © 2023 Caruso, Klaus, Hamm, Gurevich, Bisegna, Andreucci, DiBenedetto and Makino. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Neuroscience
Caruso, Giovanni
Klaus, Colin
Hamm, Heidi E.
Gurevich, Vsevolod V.
Bisegna, Paolo
Andreucci, Daniele
DiBenedetto, Emmanuele
Makino, Clint L.
Pepperberg plot: Modeling flash response saturation in retinal rods of mouse
title Pepperberg plot: Modeling flash response saturation in retinal rods of mouse
title_full Pepperberg plot: Modeling flash response saturation in retinal rods of mouse
title_fullStr Pepperberg plot: Modeling flash response saturation in retinal rods of mouse
title_full_unstemmed Pepperberg plot: Modeling flash response saturation in retinal rods of mouse
title_short Pepperberg plot: Modeling flash response saturation in retinal rods of mouse
title_sort pepperberg plot: modeling flash response saturation in retinal rods of mouse
topic Molecular Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880052/
https://www.ncbi.nlm.nih.gov/pubmed/36710929
http://dx.doi.org/10.3389/fnmol.2022.1054449
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