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Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects
Intercellular communication after ionizing radiation exposure, so-called non-targeted effects (NTEs), reduces cell survival. Here we describe an integrated cell-killing model considering NTEs and DNA damage along radiation particle tracks, known as DNA-targeted effects (TEs) based on repair kinetics...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859303/ https://www.ncbi.nlm.nih.gov/pubmed/29555939 http://dx.doi.org/10.1038/s41598-018-23202-y |
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author | Matsuya, Yusuke Sasaki, Kohei Yoshii, Yuji Okuyama, Go Date, Hiroyuki |
author_facet | Matsuya, Yusuke Sasaki, Kohei Yoshii, Yuji Okuyama, Go Date, Hiroyuki |
author_sort | Matsuya, Yusuke |
collection | PubMed |
description | Intercellular communication after ionizing radiation exposure, so-called non-targeted effects (NTEs), reduces cell survival. Here we describe an integrated cell-killing model considering NTEs and DNA damage along radiation particle tracks, known as DNA-targeted effects (TEs) based on repair kinetics of DNA damage. The proposed model was applied to a series of experimental data, i.e., signal concentration, DNA damage kinetics, cell survival curve and medium transfer bystander effects (MTBEs). To reproduce the experimental data, the model considers the following assumptions: (i) the linear-quadratic (LQ) function as absorbed dose to express the hit probability to emit cell-killing signals, (ii) the potentially repair of DNA lesions induced by NTEs, and (iii) lower efficiency of repair for the damage in NTEs than that in TEs. By comparing the model results with experimental data, we found that signal-induced DNA damage and lower repair efficiency in non-hit cells are responsible for NTE-related repair kinetics of DNA damage, cell survival curve with low-dose hyper-radiosensitivity (HRS) and MTBEs. From the standpoint of modelling, the integrated cell-killing model with the LQ relation and a different repair function for NTEs provide a reasonable signal-emission probability and a new estimation of low-dose HRS linked to DNA repair efficiency. |
format | Online Article Text |
id | pubmed-5859303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58593032018-03-20 Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects Matsuya, Yusuke Sasaki, Kohei Yoshii, Yuji Okuyama, Go Date, Hiroyuki Sci Rep Article Intercellular communication after ionizing radiation exposure, so-called non-targeted effects (NTEs), reduces cell survival. Here we describe an integrated cell-killing model considering NTEs and DNA damage along radiation particle tracks, known as DNA-targeted effects (TEs) based on repair kinetics of DNA damage. The proposed model was applied to a series of experimental data, i.e., signal concentration, DNA damage kinetics, cell survival curve and medium transfer bystander effects (MTBEs). To reproduce the experimental data, the model considers the following assumptions: (i) the linear-quadratic (LQ) function as absorbed dose to express the hit probability to emit cell-killing signals, (ii) the potentially repair of DNA lesions induced by NTEs, and (iii) lower efficiency of repair for the damage in NTEs than that in TEs. By comparing the model results with experimental data, we found that signal-induced DNA damage and lower repair efficiency in non-hit cells are responsible for NTE-related repair kinetics of DNA damage, cell survival curve with low-dose hyper-radiosensitivity (HRS) and MTBEs. From the standpoint of modelling, the integrated cell-killing model with the LQ relation and a different repair function for NTEs provide a reasonable signal-emission probability and a new estimation of low-dose HRS linked to DNA repair efficiency. Nature Publishing Group UK 2018-03-19 /pmc/articles/PMC5859303/ /pubmed/29555939 http://dx.doi.org/10.1038/s41598-018-23202-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Matsuya, Yusuke Sasaki, Kohei Yoshii, Yuji Okuyama, Go Date, Hiroyuki Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects |
title | Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects |
title_full | Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects |
title_fullStr | Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects |
title_full_unstemmed | Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects |
title_short | Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects |
title_sort | integrated modelling of cell responses after irradiation for dna-targeted effects and non-targeted effects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859303/ https://www.ncbi.nlm.nih.gov/pubmed/29555939 http://dx.doi.org/10.1038/s41598-018-23202-y |
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