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In Silico Non-Homologous End Joining Following Ion Induced DNA Double Strand Breaks Predicts That Repair Fidelity Depends on Break Density

This work uses Monte Carlo simulations to investigate the dependence of residual and misrepaired double strand breaks (DSBs) at 24 hours on the initial damage pattern created during ion therapy. We present results from a nanometric DNA damage simulation coupled to a mechanistic model of Non-Homologo...

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Autores principales: Henthorn, N. T., Warmenhoven, J. W., Sotiropoulos, M., Mackay, R. I., Kirkby, N. F., Kirkby, K. J., Merchant, M. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805743/
https://www.ncbi.nlm.nih.gov/pubmed/29422642
http://dx.doi.org/10.1038/s41598-018-21111-8
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author Henthorn, N. T.
Warmenhoven, J. W.
Sotiropoulos, M.
Mackay, R. I.
Kirkby, N. F.
Kirkby, K. J.
Merchant, M. J.
author_facet Henthorn, N. T.
Warmenhoven, J. W.
Sotiropoulos, M.
Mackay, R. I.
Kirkby, N. F.
Kirkby, K. J.
Merchant, M. J.
author_sort Henthorn, N. T.
collection PubMed
description This work uses Monte Carlo simulations to investigate the dependence of residual and misrepaired double strand breaks (DSBs) at 24 hours on the initial damage pattern created during ion therapy. We present results from a nanometric DNA damage simulation coupled to a mechanistic model of Non-Homologous End Joining, capable of predicting the position, complexity, and repair of DSBs. The initial damage pattern is scored by calculating the average number of DSBs within 70 nm from every DSB. We show that this local DSB density, referred to as the cluster density, can linearly predict misrepair regardless of ion species. The models predict that the fraction of residual DSBs is constant, with 7.3% of DSBs left unrepaired following 24 hours of repair. Through simulation over a range of doses and linear energy transfer (LET) we derive simple correlations capable of predicting residual and misrepaired DSBs. These equations are applicable to ion therapy treatment planning where both dose and LET are scored. This is demonstrated by applying the correlations to an example of a clinical proton spread out Bragg peak. Here we see a considerable biological effect past the distal edge, dominated by residual DSBs.
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spelling pubmed-58057432018-02-16 In Silico Non-Homologous End Joining Following Ion Induced DNA Double Strand Breaks Predicts That Repair Fidelity Depends on Break Density Henthorn, N. T. Warmenhoven, J. W. Sotiropoulos, M. Mackay, R. I. Kirkby, N. F. Kirkby, K. J. Merchant, M. J. Sci Rep Article This work uses Monte Carlo simulations to investigate the dependence of residual and misrepaired double strand breaks (DSBs) at 24 hours on the initial damage pattern created during ion therapy. We present results from a nanometric DNA damage simulation coupled to a mechanistic model of Non-Homologous End Joining, capable of predicting the position, complexity, and repair of DSBs. The initial damage pattern is scored by calculating the average number of DSBs within 70 nm from every DSB. We show that this local DSB density, referred to as the cluster density, can linearly predict misrepair regardless of ion species. The models predict that the fraction of residual DSBs is constant, with 7.3% of DSBs left unrepaired following 24 hours of repair. Through simulation over a range of doses and linear energy transfer (LET) we derive simple correlations capable of predicting residual and misrepaired DSBs. These equations are applicable to ion therapy treatment planning where both dose and LET are scored. This is demonstrated by applying the correlations to an example of a clinical proton spread out Bragg peak. Here we see a considerable biological effect past the distal edge, dominated by residual DSBs. Nature Publishing Group UK 2018-02-08 /pmc/articles/PMC5805743/ /pubmed/29422642 http://dx.doi.org/10.1038/s41598-018-21111-8 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
Henthorn, N. T.
Warmenhoven, J. W.
Sotiropoulos, M.
Mackay, R. I.
Kirkby, N. F.
Kirkby, K. J.
Merchant, M. J.
In Silico Non-Homologous End Joining Following Ion Induced DNA Double Strand Breaks Predicts That Repair Fidelity Depends on Break Density
title In Silico Non-Homologous End Joining Following Ion Induced DNA Double Strand Breaks Predicts That Repair Fidelity Depends on Break Density
title_full In Silico Non-Homologous End Joining Following Ion Induced DNA Double Strand Breaks Predicts That Repair Fidelity Depends on Break Density
title_fullStr In Silico Non-Homologous End Joining Following Ion Induced DNA Double Strand Breaks Predicts That Repair Fidelity Depends on Break Density
title_full_unstemmed In Silico Non-Homologous End Joining Following Ion Induced DNA Double Strand Breaks Predicts That Repair Fidelity Depends on Break Density
title_short In Silico Non-Homologous End Joining Following Ion Induced DNA Double Strand Breaks Predicts That Repair Fidelity Depends on Break Density
title_sort in silico non-homologous end joining following ion induced dna double strand breaks predicts that repair fidelity depends on break density
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805743/
https://www.ncbi.nlm.nih.gov/pubmed/29422642
http://dx.doi.org/10.1038/s41598-018-21111-8
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