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A Simulation Study of the Radiation-Induced Bystander Effect: Modeling with Stochastically Defined Signal Reemission

The radiation-induced bystander effect (RIBE) has been experimentally observed for different types of radiation, cell types, and cell culture conditions. However, the behavior of signal transmission between unirradiated and irradiated cells is not well known. In this study, we have developed a new m...

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Detalles Bibliográficos
Autores principales: Sasaki, Kohei, Wakui, Kosuke, Tsutsumi, Kaori, Itoh, Akio, Date, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502842/
https://www.ncbi.nlm.nih.gov/pubmed/23197991
http://dx.doi.org/10.1155/2012/389095
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author Sasaki, Kohei
Wakui, Kosuke
Tsutsumi, Kaori
Itoh, Akio
Date, Hiroyuki
author_facet Sasaki, Kohei
Wakui, Kosuke
Tsutsumi, Kaori
Itoh, Akio
Date, Hiroyuki
author_sort Sasaki, Kohei
collection PubMed
description The radiation-induced bystander effect (RIBE) has been experimentally observed for different types of radiation, cell types, and cell culture conditions. However, the behavior of signal transmission between unirradiated and irradiated cells is not well known. In this study, we have developed a new model for RIBE based on the diffusion of soluble factors in cell cultures using a Monte Carlo technique. The model involves the signal emission probability from bystander cells following Poisson statistics. Simulations with this model show that the spatial configuration of the bystander cells agrees well with that of corresponding experiments, where the optimal emission probability is estimated through a large number of simulation runs. It was suggested that the most likely probability falls within 0.63–0.92 for mean number of the emission signals ranging from 1.0 to 2.5.
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spelling pubmed-35028422012-11-29 A Simulation Study of the Radiation-Induced Bystander Effect: Modeling with Stochastically Defined Signal Reemission Sasaki, Kohei Wakui, Kosuke Tsutsumi, Kaori Itoh, Akio Date, Hiroyuki Comput Math Methods Med Research Article The radiation-induced bystander effect (RIBE) has been experimentally observed for different types of radiation, cell types, and cell culture conditions. However, the behavior of signal transmission between unirradiated and irradiated cells is not well known. In this study, we have developed a new model for RIBE based on the diffusion of soluble factors in cell cultures using a Monte Carlo technique. The model involves the signal emission probability from bystander cells following Poisson statistics. Simulations with this model show that the spatial configuration of the bystander cells agrees well with that of corresponding experiments, where the optimal emission probability is estimated through a large number of simulation runs. It was suggested that the most likely probability falls within 0.63–0.92 for mean number of the emission signals ranging from 1.0 to 2.5. Hindawi Publishing Corporation 2012 2012-11-11 /pmc/articles/PMC3502842/ /pubmed/23197991 http://dx.doi.org/10.1155/2012/389095 Text en Copyright © 2012 Kohei Sasaki et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sasaki, Kohei
Wakui, Kosuke
Tsutsumi, Kaori
Itoh, Akio
Date, Hiroyuki
A Simulation Study of the Radiation-Induced Bystander Effect: Modeling with Stochastically Defined Signal Reemission
title A Simulation Study of the Radiation-Induced Bystander Effect: Modeling with Stochastically Defined Signal Reemission
title_full A Simulation Study of the Radiation-Induced Bystander Effect: Modeling with Stochastically Defined Signal Reemission
title_fullStr A Simulation Study of the Radiation-Induced Bystander Effect: Modeling with Stochastically Defined Signal Reemission
title_full_unstemmed A Simulation Study of the Radiation-Induced Bystander Effect: Modeling with Stochastically Defined Signal Reemission
title_short A Simulation Study of the Radiation-Induced Bystander Effect: Modeling with Stochastically Defined Signal Reemission
title_sort simulation study of the radiation-induced bystander effect: modeling with stochastically defined signal reemission
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502842/
https://www.ncbi.nlm.nih.gov/pubmed/23197991
http://dx.doi.org/10.1155/2012/389095
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