Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Dose-Dependent Shift in Relative Contribution of Homologous Recombination to DNA Repair after Low-LET Ionizing Radiation Exposure: Empirical Evidence and Numerical Simulation

Version 1 : Received: 28 July 2023 / Approved: 31 July 2023 / Online: 1 August 2023 (10:30:28 CEST)

A peer-reviewed article of this Preprint also exists.

Belov, O.; Chigasova, A.; Pustovalova, M.; Osipov, A.; Eremin, P.; Vorobyeva, N.; Osipov, A.N. Dose-Dependent Shift in Relative Contribution of Homologous Recombination to DNA Repair after Low-LET Ionizing Radiation Exposure: Empirical Evidence and Numerical Simulation. Curr. Issues Mol. Biol. 2023, 45, 7352-7373. Belov, O.; Chigasova, A.; Pustovalova, M.; Osipov, A.; Eremin, P.; Vorobyeva, N.; Osipov, A.N. Dose-Dependent Shift in Relative Contribution of Homologous Recombination to DNA Repair after Low-LET Ionizing Radiation Exposure: Empirical Evidence and Numerical Simulation. Curr. Issues Mol. Biol. 2023, 45, 7352-7373.

Abstract

Relative contribution of different repair pathways to the radiation-induced DNA damage responses remains a challenging issue of studying the radiation injury endpoints. Comparative manifestation of homologous recombination (HR) after application of different radiation doses greatly determines an overall effectiveness of recovery in dividing cell after irradiation, since HR is an error-free mechanism intended for repair of DNA double strand breaks (DSB) during S/G2 phases of cell cycle. In this article, we present an experimentally observed evidence of dose-dependent shift in relative contribution of HR in human fibroblasts after X-ray exposure at doses 20-1000 mGy, which is also supported by quantitative modeling of DNA DSB repair. Our findings indicate that the radiation dose increase leads to dose-dependent decrease in relative contribution of HR into the entire repair process.

Keywords

DNA double-strand breaks; ionizing radiation; DNA repair pathways; homologous recombination; mathematical modeling

Subject

Biology and Life Sciences, Biochemistry and Molecular Biology

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