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Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA

Ionising radiation induced DNA damage and subsequent biological responses to it depend on the radiation’s track-structure and its energy loss distribution pattern. To investigate the underlying biological mechanisms involved in such complex system, there is need of predicting biological response by...

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Autores principales: Sakata, Dousatsu, Belov, Oleg, Bordage, Marie-Claude, Emfietzoglou, Dimitris, Guatelli, Susanna, Inaniwa, Taku, Ivanchenko, Vladimir, Karamitros, Mathieu, Kyriakou, Ioanna, Lampe, Nathanael, Petrovic, Ivan, Ristic-Fira, Aleksandra, Shin, Wook-Geun, Incerti, Sebastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695857/
https://www.ncbi.nlm.nih.gov/pubmed/33247225
http://dx.doi.org/10.1038/s41598-020-75982-x
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author Sakata, Dousatsu
Belov, Oleg
Bordage, Marie-Claude
Emfietzoglou, Dimitris
Guatelli, Susanna
Inaniwa, Taku
Ivanchenko, Vladimir
Karamitros, Mathieu
Kyriakou, Ioanna
Lampe, Nathanael
Petrovic, Ivan
Ristic-Fira, Aleksandra
Shin, Wook-Geun
Incerti, Sebastien
author_facet Sakata, Dousatsu
Belov, Oleg
Bordage, Marie-Claude
Emfietzoglou, Dimitris
Guatelli, Susanna
Inaniwa, Taku
Ivanchenko, Vladimir
Karamitros, Mathieu
Kyriakou, Ioanna
Lampe, Nathanael
Petrovic, Ivan
Ristic-Fira, Aleksandra
Shin, Wook-Geun
Incerti, Sebastien
author_sort Sakata, Dousatsu
collection PubMed
description Ionising radiation induced DNA damage and subsequent biological responses to it depend on the radiation’s track-structure and its energy loss distribution pattern. To investigate the underlying biological mechanisms involved in such complex system, there is need of predicting biological response by integrated Monte Carlo (MC) simulations across physics, chemistry and biology. Hence, in this work, we have developed an application using the open source Geant4-DNA toolkit to propose a realistic “fully integrated” MC simulation to calculate both early DNA damage and subsequent biological responses with time. We had previously developed an application allowing simulations of radiation induced early DNA damage on a naked cell nucleus model. In the new version presented in this work, we have developed three additional important features: (1) modeling of a realistic cell geometry, (2) inclusion of a biological repair model, (3) refinement of DNA damage parameters for direct damage and indirect damage scoring. The simulation results are validated with experimental data in terms of Single Strand Break (SSB) yields for plasmid and Double Strand Break (DSB) yields for plasmid/human cell. In addition, the yields of indirect DSBs are compatible with the experimental scavengeable damage fraction. The simulation application also demonstrates agreement with experimental data of [Formula: see text] -H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations.
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spelling pubmed-76958572020-11-30 Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA Sakata, Dousatsu Belov, Oleg Bordage, Marie-Claude Emfietzoglou, Dimitris Guatelli, Susanna Inaniwa, Taku Ivanchenko, Vladimir Karamitros, Mathieu Kyriakou, Ioanna Lampe, Nathanael Petrovic, Ivan Ristic-Fira, Aleksandra Shin, Wook-Geun Incerti, Sebastien Sci Rep Article Ionising radiation induced DNA damage and subsequent biological responses to it depend on the radiation’s track-structure and its energy loss distribution pattern. To investigate the underlying biological mechanisms involved in such complex system, there is need of predicting biological response by integrated Monte Carlo (MC) simulations across physics, chemistry and biology. Hence, in this work, we have developed an application using the open source Geant4-DNA toolkit to propose a realistic “fully integrated” MC simulation to calculate both early DNA damage and subsequent biological responses with time. We had previously developed an application allowing simulations of radiation induced early DNA damage on a naked cell nucleus model. In the new version presented in this work, we have developed three additional important features: (1) modeling of a realistic cell geometry, (2) inclusion of a biological repair model, (3) refinement of DNA damage parameters for direct damage and indirect damage scoring. The simulation results are validated with experimental data in terms of Single Strand Break (SSB) yields for plasmid and Double Strand Break (DSB) yields for plasmid/human cell. In addition, the yields of indirect DSBs are compatible with the experimental scavengeable damage fraction. The simulation application also demonstrates agreement with experimental data of [Formula: see text] -H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations. Nature Publishing Group UK 2020-11-27 /pmc/articles/PMC7695857/ /pubmed/33247225 http://dx.doi.org/10.1038/s41598-020-75982-x Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Sakata, Dousatsu
Belov, Oleg
Bordage, Marie-Claude
Emfietzoglou, Dimitris
Guatelli, Susanna
Inaniwa, Taku
Ivanchenko, Vladimir
Karamitros, Mathieu
Kyriakou, Ioanna
Lampe, Nathanael
Petrovic, Ivan
Ristic-Fira, Aleksandra
Shin, Wook-Geun
Incerti, Sebastien
Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
title Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
title_full Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
title_fullStr Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
title_full_unstemmed Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
title_short Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
title_sort fully integrated monte carlo simulation for evaluating radiation induced dna damage and subsequent repair using geant4-dna
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695857/
https://www.ncbi.nlm.nih.gov/pubmed/33247225
http://dx.doi.org/10.1038/s41598-020-75982-x
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