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Title: A New Standard DNA Damage (SDD) Data Format

Journal Article · · Radiation Research
DOI: https://doi.org/10.1667/RR15209.1 · OSTI ID:1529498
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  1. Massachusetts General Hospital and Harvard Medical School, Boston, MA (United States)
  2. Univ. of Manchester (United Kingdom)
  3. Univ. of California, San Francisco, CA (United States)
  4. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  5. Medical Research Council, Harwell (United Kingdom)
  6. KBRwyle, Houston, TX (United States)
  7. Physikalisch-Technische Bundesanstalt (PTB), Braunschweig (Germany)
  8. European Radiation Dosimetry Group, Neuherberg (Germany)
  9. Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg (Germany)
  10. Univ. of Pavia (Italy)
  11. East Carolina Univ., Greenville, NC (United States)
  12. French National Centre for Scientific Research (CNRS), Gradignan (France)
  13. Institute of Radiation Protection and Safety (IRSN), Fontenay-aux-Roses (France)
  14. State Univ. of Campinas, Campinas, SP (Brazil)
  15. Univ. of Wollongong, Wollongong, NSW (Australia)
  16. Delft Univ. of Technology (Netherlands)
  17. Saint Joseph Univ., Beirut (Lebanon)
  18. Univ. of Ioannina Medical School (Greece)
  19. Nuclear Physics Inst. of the CAS, Řež (Czech Republic)
  20. Univ. of Texas Southwestern Medical Center, Dallas, TX (United States)
  21. Univ. of Nevada, Las Vegas, NV (United States)
  22. Loma Linda Univ., CA (United States)
  23. Univ. of Washington, Seattle, WA (United States)
  24. Yale Univ. School of Medicine, New Haven, CT (United States)
  25. National Physical Lab., Teddington (United Kingdom)
  26. School of Physics, University of Sydney, Sydney, NSW, Australia
  27. Institut des Sciences Moléculaires d'Orsay (UMR 8214) University Paris-Sud, CNRS, University Paris-Saclay, 91405 Orsay Cedex, France
  28. Retired
  29. Univ. of Texas MD Anderson Cancer Center, Houston, TX (United States)
  30. National Inst. of Radiological Sciences, Chiba (Japan)
  31. Japan Atomic Energy Agency (JAEA), Tokai (Japan)
  32. MBN Research Center, Frankfurt am Main (Germany)
  33. Oakland Univ., Rochester, MI (United States)
  34. GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt (Germany)
  35. Queens Univ., Belfast (United Kingdom)
+ Show Author Affiliations

Our understanding of radiation-induced cellular damage has greatly improved over the past few decades. Despite this progress, there are still many obstacles to fully understand how radiation interacts with biologically relevant cellular components, such as DNA, to cause observable end points such as cell killing. Damage in DNA is identified as a major route of cell killing. One hurdle when modeling biological effects is the difficulty in directly comparing results generated by members of different research groups. Multiple Monte Carlo codes have been developed to simulate damage induction at the DNA scale, while at the same time various groups have developed models that describe DNA repair processes with varying levels of detail. These repair models are intrinsically linked to the damage model employed in their development, making it difficult to disentangle systematic effects in either part of the modeling chain. These modeling chains typically consist of track-structure Monte Carlo simulations of the physical interactions creating direct damages to DNA, followed by simulations of the production and initial reactions of chemical species causing so-called “indirect” damages. After the induction of DNA damage, DNA repair models combine the simulated damage patterns with biological models to determine the biological consequences of the damage. To date, the effect of the environment, such as molecular oxygen (normoxic vs. hypoxic), has been poorly considered. We propose a new standard DNA damage (SDD) data format to unify the interface between the simulation of damage induction in DNA and the biological modeling of DNA repair processes, and introduce the effect of the environment (molecular oxygen or other compounds) as a flexible parameter. Such a standard greatly facilitates intermodel comparisons, providing an ideal environment to tease out model assumptions and identify persistent, underlying mechanisms. Through inter-model comparisons, this unified standard has the potential to significantly advance our understanding of the underlying mechanisms of radiation-induced DNA damage and the resulting observable biological effects when radiation parameters and/or environmental conditions change.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE; National Institutes of Health (NIH)
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1529498
Journal Information:
Radiation Research, Journal Name: Radiation Research Journal Issue: 1 Vol. 191; ISSN 0033-7587
Publisher:
Radiation Research SocietyCopyright Statement
Country of Publication:
United States
Language:
English

Cited By (10)

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A comparison of the radiosensitisation ability of 22 different element metal oxide nanoparticles using clinical megavoltage X-rays journal December 2019
Mechanistic modelling supports entwined rather than exclusively competitive DNA double-strand break repair pathway journal April 2019
Ionizing Radiation and Complex DNA Damage: From Prediction to Detection Challenges and Biological Significance journal November 2019
Clinically relevant nanodosimetric simulation of DNA damage complexity from photons and protons journal January 2019
Differential Repair Protein Recruitment at Sites of Clustered and Isolated DNA Double-Strand Breaks Produced by High-Energy Heavy Ions text January 2020
Modelling variable proton relative biological effectiveness for treatment planning journal March 2020
Assessment of Radio-Induced Damage in Endothelial Cells Irradiated with 40 kVp, 220 kVp, and 4 MV X-rays by Means of Micro and Nanodosimetric Calculations journal December 2019
Modeling of yield estimation for DNA strand breaks based on Monte Carlo simulations of electron track structure in liquid water journal September 2019
First benchmarking of the BIANCA model for cell survival prediction in a clinical hadron therapy scenario journal October 2019

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63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.