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A new standard DNA damage (SDD) data format.
Radiat. Res. 191, 76-92 (2019)
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 inter-model 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 greatly 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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
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Cited By
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2.779
0.957
38
37
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Relative Biological Effectiveness; Monte-carlo-simulation; Double-strand Breaks; Track Structure Calculations; Nucleotide Excision-repair; Local Effect Model; Ultrasoft X-rays; High-let; Radiation-chemistry; Multiscale Approach
Language
Publication Year
2019
Prepublished in Year
2018
HGF-reported in Year
2018
ISSN (print) / ISBN
0033-7587
e-ISSN
1938-5404
Journal
Radiation Research
Quellenangaben
Volume: 191,
Issue: 1,
Pages: 76-92
Publisher
Radiation Research Society
Publishing Place
810 E Tenth Street, Lawrence, Ks 66044 Usa
Reviewing status
Peer reviewed
Institute(s)
Institute of Radiation Protection (ISS)
POF-Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Research field(s)
Radiation Sciences
PSP Element(s)
G-501100-004
G-501100-008
G-501100-008
WOS ID
WOS:000482875000008
Scopus ID
85061053956
PubMed ID
30407901
Erfassungsdatum
2018-11-13