Quantitative modelling of DNA damage using Monte Carlo track structure method

1999 ◽  
Vol 38 (1) ◽  
pp. 31-38 ◽  
Author(s):  
H. Nikjoo ◽  
P. O'Neill ◽  
M. Terrissol ◽  
D. T. Goodhead
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Dousatsu Sakata ◽  
Oleg Belov ◽  
Marie-Claude Bordage ◽  
Dimitris Emfietzoglou ◽  
Susanna Guatelli ◽  
...  

AbstractIonising 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 $$\gamma$$ γ -H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations.


2014 ◽  
Vol 41 (12) ◽  
pp. 121708 ◽  
Author(s):  
Piotr Pater ◽  
Jan Seuntjens ◽  
Issam El Naqa ◽  
Mario A. Bernal

2008 ◽  
Vol 77 (10-12) ◽  
pp. 1270-1279 ◽  
Author(s):  
Hooshang Nikjoo ◽  
Dimitris Emfietzoglou ◽  
Ritsuko Watanabe ◽  
Shuzo Uehara

2012 ◽  
Vol 39 (7Part4) ◽  
pp. 4645-4646
Author(s):  
C Kirkby ◽  
E Ghasroddashti ◽  
Y Poirier ◽  
M Tambasco ◽  
RD Stewart
Keyword(s):  

Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 6046
Author(s):  
Dousatsu Sakata ◽  
Masao Suzuki ◽  
Ryoichi Hirayama ◽  
Yasushi Abe ◽  
Masayuki Muramatsu ◽  
...  

Track-structure Monte Carlo simulations are useful tools to evaluate initial DNA damage induced by irradiation. In the previous study, we have developed a Gean4-DNA-based application to estimate the cell surviving fraction of V79 cells after irradiation, bridging the gap between the initial DNA damage and the DNA rejoining kinetics by means of the two-lesion kinetics (TLK) model. However, since the DNA repair performance depends on cell line, the same model parameters cannot be used for different cell lines. Thus, we extended the Geant4-DNA application with a TLK model for the evaluation of DNA damage repair performance in HSGc-C5 carcinoma cells which are typically used for evaluating proton/carbon radiation treatment effects. For this evaluation, we also performed experimental measurements for cell surviving fractions and DNA rejoining kinetics of the HSGc-C5 cells irradiated by 70 MeV protons at the cyclotron facility at the National Institutes for Quantum and Radiological Science and Technology (QST). Concerning fast- and slow-DNA rejoining, the TLK model parameters were adequately optimized with the simulated initial DNA damage. The optimized DNA rejoining speeds were reasonably agreed with the experimental DNA rejoining speeds. Using the optimized TLK model, the Geant4-DNA simulation is now able to predict cell survival and DNA-rejoining kinetics for HSGc-C5 cells.


2007 ◽  
Vol 50 (spe) ◽  
pp. 135-144 ◽  
Author(s):  
Christophe Champion ◽  
Mouhamad Elbast ◽  
Ting-Di Wu ◽  
Nicole Colas-Linhart

The most significant impact of the Chernobyl accident is the increased incidence of thyroid cancer among children who were exposed to short-lived radioiodines and 131-iodine. In order to accurately estimate the radiation dose provided by these radioiodines, it is necessary to know where iodine is incorporated. To do that, the distribution at the cellular level of newly organified iodine in the immature rat thyroid was performed using secondary ion mass microscopy (NanoSIMS50). Actual dosimetric models take only into account the averaged energy and range of beta particles of the radio-elements and may, therefore, imperfectly describe the real distribution of dose deposit at the microscopic level around the point sources. Our approach is radically different since based on a track-structure Monte Carlo code allowing following-up of electrons down to low energies (~ 10eV) what permits a nanometric description of the irradiation physics. The numerical simulations were then performed by modelling the complete disintegrations of the short-lived iodine isotopes as well as of 131I in new born rat thyroids in order to take into account accurate histological and biological data for the thyroid gland.


Sign in / Sign up

Export Citation Format

Share Document