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A new standard DNA damage (SDD) data format.
Radiat. Res. 191, 76-92 (2019)
Verlagsversion
Postprint
DOI
PMC
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
Scopus
Cited By
Cited By
Altmetric
2.779
0.957
38
37
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
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
Sprache
Veröffentlichungsjahr
2019
Prepublished im Jahr
2018
HGF-Berichtsjahr
2018
ISSN (print) / ISBN
0033-7587
e-ISSN
1938-5404
Zeitschrift
Radiation Research
Quellenangaben
Band: 191,
Heft: 1,
Seiten: 76-92
Verlag
Radiation Research Society
Verlagsort
810 E Tenth Street, Lawrence, Ks 66044 Usa
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Radiation Protection (ISS)
POF Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er)
Radiation Sciences
PSP-Element(e)
G-501100-004
G-501100-008
G-501100-008
WOS ID
WOS:000482875000008
Scopus ID
85061053956
PubMed ID
30407901
Erfassungsdatum
2018-11-13