Literature DB >> 28792846

Nanodosimetric Simulation of Direct Ion-Induced DNA Damage Using Different Chromatin Geometry Models.

N T Henthorn1, J W Warmenhoven1, M Sotiropoulos1, R I Mackay2, K J Kirkby1,3, M J Merchant1,3.   

Abstract

Monte Carlo based simulation has proven useful in investigating the effect of proton-induced DNA damage and the processes through which this damage occurs. Clustering of ionizations within a small volume can be related to DNA damage through the principles of nanodosimetry. For simulation, it is standard to construct a small volume of water and determine spatial clusters. More recently, realistic DNA geometries have been used, tracking energy depositions within DNA backbone volumes. Traditionally a chromatin fiber is built within the simulation and identically replicated throughout a cell nucleus, representing the cell in interphase. However, the in vivo geometry of the chromatin fiber is still unknown within the literature, with many proposed models. In this work, the Geant4-DNA toolkit was used to build three chromatin models: the solenoid, zig-zag and cross-linked geometries. All fibers were built to the same chromatin density of 4.2 nucleosomes/11 nm. The fibers were then irradiated with protons (LET 5-80 keV/μm) or alpha particles (LET 63-226 keV/μm). Nanodosimetric parameters were scored for each fiber after each LET and used as a comparator among the models. Statistically significant differences were observed in the double-strand break backbone size distributions among the models, although nonsignificant differences were noted among the nanodosimetric parameters. From the data presented in this article, we conclude that selection of the solenoid, zig-zag or cross-linked chromatin model does not significantly affect the calculated nanodosimetric parameters. This allows for a simulation-based cell model to make use of any of these chromatin models for the scoring of direct ion-induced DNA damage.

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Year:  2017        PMID: 28792846     DOI: 10.1667/RR14755.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  12 in total

1.  A parameter sensitivity study for simulating DNA damage after proton irradiation using TOPAS-nBio.

Authors:  Hongyu Zhu; Aimee L McNamara; Jose Ramos-Mendez; Stephen J McMahon; Nicholas T Henthorn; Bruce Faddegon; Kathryn D Held; Joseph Perl; Junli Li; Harald Paganetti; Jan Schuemann
Journal:  Phys Med Biol       Date:  2020-04-23       Impact factor: 3.609

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.  Impact of DNA Geometry and Scoring on Monte Carlo Track-Structure Simulations of Initial Radiation-Induced Damage.

Authors:  Alejandro Bertolet; José Ramos-Méndez; Aimee McNamara; Dohyeon Yoo; Samuel Ingram; Nicholas Henthorn; John-William Warmenhoven; Bruce Faddegon; Michael Merchant; Stephen J McMahon; Harald Paganetti; Jan Schuemann
Journal:  Radiat Res       Date:  2022-09-01       Impact factor: 3.372

4.  TOPAS-nBio: An Extension to the TOPAS Simulation Toolkit for Cellular and Sub-cellular Radiobiology.

Authors:  J Schuemann; A L McNamara; J Ramos-Méndez; J Perl; K D Held; H Paganetti; S Incerti; B Faddegon
Journal:  Radiat Res       Date:  2019-01-04       Impact factor: 2.841

5.  Geometrical structures for radiation biology research as implemented in the TOPAS-nBio toolkit.

Authors:  Aimee L McNamara; José Ramos-Méndez; Joseph Perl; Kathryn Held; Naoki Dominguez; Eduardo Moreno; Nicholas T Henthorn; Karen J Kirkby; Sylvain Meylan; Carmen Villagrasa; Sebastien Incerti; Bruce Faddegon; Harald Paganetti; Jan Schuemann
Journal:  Phys Med Biol       Date:  2018-09-06       Impact factor: 3.609

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

Authors:  N T Henthorn; J W Warmenhoven; M Sotiropoulos; R I Mackay; N F Kirkby; K J Kirkby; M J Merchant
Journal:  Sci Rep       Date:  2018-02-08       Impact factor: 4.379

7.  Evaluating Iodine-125 DNA Damage Benchmarks of Monte Carlo DNA Damage Models.

Authors:  Shannon J Thompson; Aoife Rooney; Kevin M Prise; Stephen J McMahon
Journal:  Cancers (Basel)       Date:  2022-01-18       Impact factor: 6.639

8.  Mechanistic Modelling of Slow and Fast NHEJ DNA Repair Pathways Following Radiation for G0/G1 Normal Tissue Cells.

Authors:  Yaping Qi; John William Warmenhoven; Nicholas Thomas Henthorn; Samuel Peter Ingram; Xie George Xu; Karen Joy Kirkby; Michael John Merchant
Journal:  Cancers (Basel)       Date:  2021-05-03       Impact factor: 6.639

9.  A Mechanistic DNA Repair and Survival Model (Medras): Applications to Intrinsic Radiosensitivity, Relative Biological Effectiveness and Dose-Rate.

Authors:  Stephen Joseph McMahon; Kevin M Prise
Journal:  Front Oncol       Date:  2021-06-29       Impact factor: 6.244

10.  In Silico Models of DNA Damage and Repair in Proton Treatment Planning: A Proof of Concept.

Authors:  Edward A K Smith; N T Henthorn; J W Warmenhoven; S P Ingram; A H Aitkenhead; J C Richardson; P Sitch; A L Chadwick; T S A Underwood; M J Merchant; N G Burnet; N F Kirkby; K J Kirkby; R I Mackay
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

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