TY  - JOUR
AU  - Sakata, Dousatsu
AU  - Belov, Oleg
AU  - Bordage, Marie-Claude
AU  - Emfietzoglou, Dimitris
AU  - Guatelli, Susanna
AU  - Inaniwa, Taku
AU  - Ivanchenko, Vladimir
AU  - Karamitros, Mathieu
AU  - Kyriakou, Ioanna
AU  - Lampe, Nathanael
AU  - Petrović, Ivan M.
AU  - Ristić-Fira, Aleksandra
AU  - Shin, Wook-Geun
AU  - Incerti, Sebastien
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9751
AB  - 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 gamma -H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations.
T2  - Scientific Reports
T1  - Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
VL  - 10
IS  - 1
SP  - 20788
DO  - 10.1038/s41598-020-75982-x
ER  - 

@article{
author = "Sakata, Dousatsu and Belov, Oleg and Bordage, Marie-Claude and Emfietzoglou, Dimitris and Guatelli, Susanna and Inaniwa, Taku and Ivanchenko, Vladimir and Karamitros, Mathieu and Kyriakou, Ioanna and Lampe, Nathanael and Petrović, Ivan M. and Ristić-Fira, Aleksandra and Shin, Wook-Geun and Incerti, Sebastien",
year = "2020",
abstract = "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 gamma -H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations.",
journal = "Scientific Reports",
title = "Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA",
volume = "10",
number = "1",
pages = "20788",
doi = "10.1038/s41598-020-75982-x"
}

Sakata, D., Belov, O., Bordage, M., Emfietzoglou, D., Guatelli, S., Inaniwa, T., Ivanchenko, V., Karamitros, M., Kyriakou, I., Lampe, N., Petrović, I. M., Ristić-Fira, A., Shin, W.,& Incerti, S.. (2020). Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA. in Scientific Reports, 10(1), 20788.
https://doi.org/10.1038/s41598-020-75982-x

Sakata D, Belov O, Bordage M, Emfietzoglou D, Guatelli S, Inaniwa T, Ivanchenko V, Karamitros M, Kyriakou I, Lampe N, Petrović IM, Ristić-Fira A, Shin W, Incerti S. Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA. in Scientific Reports. 2020;10(1):20788.
doi:10.1038/s41598-020-75982-x .

Sakata, Dousatsu, Belov, Oleg, Bordage, Marie-Claude, Emfietzoglou, Dimitris, Guatelli, Susanna, Inaniwa, Taku, Ivanchenko, Vladimir, Karamitros, Mathieu, Kyriakou, Ioanna, Lampe, Nathanael, Petrović, Ivan M., Ristić-Fira, Aleksandra, Shin, Wook-Geun, Incerti, Sebastien, "Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA" in Scientific Reports, 10, no. 1 (2020):20788,
https://doi.org/10.1038/s41598-020-75982-x . .