Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
Authors
Sakata, DousatsuBelov, 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

Article (Published version)
Metadata
Show full item recordAbstract
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.
Keywords:
cells / cross-sections / double-strand breaks / electron-transport / histone h2ax / light-ions / linear-energy-transfer / liquid water / model / track-structureSource:
Scientific Reports, 2020, 10, 1, 20788-Funding / projects:
- Radiosensitivity of human genome (RS-173046)
- High Energy Physics with the CMS Detector (RS-171019)
- JSPS KAKENHI [No. JP20K16840]
- RFBR [No. 7-29-01005-of-m]
- ESA [No. 4000126645/19/NL/BW]
- Australian Research Council [ARC DP170100967]
- CNRS PICS France - Greece [7340, 8235]
- CNRS PICS France - Serbia [8070]
DOI: 10.1038/s41598-020-75982-x
ISSN: 2045-2322
PubMed: 33247225
WoS: 000596311200020
Scopus: 2-s2.0-85096708840
Collections
Institution/Community
VinčaTY - 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 . .