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Induction and repair rate of DNA damage: a unified model for describing effects of external and internal irradiation and contamination with heavy metals.

作者信息

Gastaldo Jérôme, Viau Muriel, Bouchot Michael, Joubert Aurélie, Charvet Anne-Marie, Foray Nicolas

机构信息

INSERM, U647 - ID17 - European Synchrotron Research Facility, Rue Horowitz, 38043 Grenoble, France.

出版信息

J Theor Biol. 2008 Mar 7;251(1):68-81. doi: 10.1016/j.jtbi.2007.10.034. Epub 2007 Nov 4.

DOI:10.1016/j.jtbi.2007.10.034
PMID:18082771
Abstract

DNA is a key-target for genotoxic stress. Hence, the knowledge of induction and repair rate of DNA damage are crucial to describe and predict the impact of stress situations. Unfortunately, DNA damage induction and repair rates are generally assessed separately whereas they act either concomitantly or transiently in living organisms. Furthermore, the interplay of induction and repair raises the question whether DNA repair adapts to respond to different amounts of DNA damage. In a previous report, we proposed a stochastic interpretation of the repair rate of the major radiation-induced DNA damage. We provided evidence that the repair rate of individual DNA damage is time-independent whereas that of a population of DNA damage is time-dependent (Foray, N., Charvet, A.-M., Duchemin, D., Favaudon, V., Lavalette, D., 2005. The repair rate of radiation-induced DNA damage: a stochastic interpretation based on the gamma function. J. Theor. Biol. 236, 448-458). Here, to better describe situations in which DNA damage induction and repair occur together, our biostatistical model was modified by the introduction of a DNA damage induction parameter. Theoretical and experimental data were compared and discussed by taking concrete experimental situations: X-rays irradiation at different dose-rates, internal irradiation with radioactive compound, contamination with heavy metal and detection of DNA damage by immunofluorescence. By assuming that DNA repair rate is invariant whatever the amount of DNA damage, our model provides good prediction of experimental data suggesting its relevance for the description of complex situations of co-toxicities.

摘要

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