Literature DB >> 25813721

DSB repair model for mammalian cells in early S and G1 phases of the cell cycle: application to damage induced by ionizing radiation of different quality.

Reza Taleei1, Peter M Girard2, Hooshang Nikjoo3.   

Abstract

The purpose of this work is to test the hypothesis that kinetics of double strand breaks (DSB) repair is governed by complexity of DSB. To test the hypothesis we used our recent published mechanistic mathematical model of DSB repair for DSB induced by selected protons, deuterons, and helium ions of different energies representing radiations of different qualities. In light of recent advances in experimental and computational techniques, the most appropriate method to study cellular responses in radiation therapy, and exposures to low doses of ionizing radiations is using mechanistic approaches. To this end, we proposed a 'bottom-up' approach to study cellular response that starts with the DNA damage. Monte Carlo track structure method was employed to simulate initial damage induced in the genomic DNA by direct and indirect effects. Among the different types of DNA damage, DSB are known to be induced in simple and complex forms. The DSB repair model in G1 and early S phases of the cell cycle was employed to calculate the repair kinetics. The model considers the repair of simple and complex DSB, and the DSB produced in the heterochromatin. The inverse sampling method was used to calculate the repair kinetics for each individual DSB. The overall repair kinetics for 500 DSB induced by single tracks of the radiation under test were compared with experimental results. The results show that the model is capable of predicting the repair kinetics for the DSB induced by radiations of different qualities within an accepted range of uncertainty.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNA damage; DSB repair; Mechanistic models; Monte Carlo simulation

Mesh:

Substances:

Year:  2015        PMID: 25813721     DOI: 10.1016/j.mrgentox.2015.01.007

Source DB:  PubMed          Journal:  Mutat Res Genet Toxicol Environ Mutagen        ISSN: 1383-5718            Impact factor:   2.873


  9 in total

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Authors:  Robert D Stewart
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2.  Cellular Response to Proton Irradiation: A Simulation Study with TOPAS-nBio.

Authors:  Hongyu Zhu; Aimee L McNamara; Stephen J McMahon; Jose Ramos-Mendez; Nicholas T Henthorn; Bruce Faddegon; Kathryn D Held; Joseph Perl; Junli Li; Harald Paganetti; Jan Schuemann
Journal:  Radiat Res       Date:  2020-07-08       Impact factor: 2.841

3.  Multi-scaled Monte Carlo calculation for radon-induced cellular damage in the bronchial airway epithelium.

Authors:  Ali Abu Shqair; Eun-Hee Kim
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

4.  Low doses of X-rays induce prolonged and ATM-independent persistence of γH2AX foci in human gingival mesenchymal stem cells.

Authors:  Andreyan N Osipov; Margarita Pustovalova; Anna Grekhova; Petr Eremin; Natalia Vorobyova; Andrey Pulin; Alex Zhavoronkov; Sergey Roumiantsev; Dmitry Y Klokov; Ilya Eremin
Journal:  Oncotarget       Date:  2015-09-29

5.  Mechanistic Modelling and Bayesian Inference Elucidates the Variable Dynamics of Double-Strand Break Repair.

Authors:  Mae L Woods; Chris P Barnes
Journal:  PLoS Comput Biol       Date:  2016-10-14       Impact factor: 4.475

Review 6.  Complex DNA Damage: A Route to Radiation-Induced Genomic Instability and Carcinogenesis.

Authors:  Ifigeneia V Mavragani; Zacharenia Nikitaki; Maria P Souli; Asef Aziz; Somaira Nowsheen; Khaled Aziz; Emmy Rogakou; Alexandros G Georgakilas
Journal:  Cancers (Basel)       Date:  2017-07-18       Impact factor: 6.639

Review 7.  Emerging Perspectives on DNA Double-strand Breaks in Neurodegenerative Diseases.

Authors:  Ling-Shuang Zhu; Ding-Qi Wang; Ke Cui; Dan Liu; Ling-Qiang Zhu
Journal:  Curr Neuropharmacol       Date:  2019       Impact factor: 7.363

8.  Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects.

Authors:  Igor Shuryak; David J Brenner
Journal:  Sci Rep       Date:  2021-02-26       Impact factor: 4.379

Review 9.  Track to the future: historical perspective on the importance of radiation track structure and DNA as a radiobiological target.

Authors:  Mark A Hill
Journal:  Int J Radiat Biol       Date:  2017-12-08       Impact factor: 2.694

  9 in total

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