Development of computational model for cell dose and DNA damage quantification of multicellular system

• Published in: International journal of radiation biology Vol. 95; no. 11; pp. 1484 - 1497
• Main Authors: Liu, Ruirui, Zhao, Tianyu, Swat, Maciej H., Reynoso, Francisco J., Higley, Kathryn A.
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 02.11.2019
• Subjects: cellular dose; Cobalt Radioisotopes; Computational Biology - methods; computational model; Computer Simulation; DNA - radiation effects; DNA Breaks, Double-Stranded; DNA damage; Geant4; Geant4-DNA; Humans; Linear Energy Transfer; Monte Carlo Method; Monte Carlo simulation; multicellular model; Programming Languages; Radiobiology; Software; DNA damage; cellular dose; Geant4-DNA; computational model; Geant4; Monte Carlo simulation; multicellular model
• ISSN: 0955-3002; 1362-3095; 1362-3095
• DOI: 10.1080/09553002.2019.1642537

Purpose: The aim of this study is to build a computational model to investigate the cell dose and cell DNA damage distribution of a multicellular tissue system under the irradiation. Materials and methods: In this work, we developed a computational model for quantifying cell dose and double strand break (DSB) number in a multicellular system by simulating the radiation transport in 2D and 3D cell culture. The model was based on an open-source radiation transport package, Geant4 with Geant4-DNA physics. First, the computational multicellular system was created using a developed program, CelllMaker. Second, the radiation transport simulation for cells was conducted using Geant4 package with the Geant4-DNA physics to obtain the cellular dose and cellular DSB yield. Results: Using the method described in this work, it is possible to obtain the cellular dose and DNA damage simultaneously. The developed model provides a solution for quantifying the cellular dose and cellular DNA damage which are not easily determined in a radiobiological experiment. Conclusions: With limited validation data for the model, this preliminary study provides a roadmap for building a comprehensive toolkit for simulating cellular dose and DNA damage of multicellular tissue systems.