Integrating chromosome conformation and DNA repair in a computational framework to assess cell radiosensitivity <sup>*</sup>

<i>Objective.</i>The arrangement of chromosomes in the cell nucleus has implications for cell radiosensitivity. The development of new tools to utilize Hi-C chromosome conformation data in nanoscale radiation track structure simulations allows for<i>in silico</i>investigation of this phenomenon. We have developed a framework employing Hi-C-based cell nucleus models in Monte Carlo radiation simulations, in conjunction with mechanistic models of DNA repair, to predict not only the initial radiation-induced DNA damage, but also the repair outcomes resulting from this damage, allowing us to investigate the role chromosome conformation plays in the biological outcome of radiation exposure.<i>Approach.</i>In this study, we used this framework to generate cell nucleus models based on Hi-C data from fibroblast and lymphoblastoid cells and explore the effects of cell type-specific chromosome structure on radiation response. The models were used to simulate external beam irradiation including DNA damage and subsequent DNA repair. The kinetics of the simulated DNA repair were compared with previous results.<i>Main results.</i>We found that the fibroblast models resulted in a higher rate of inter-chromosome misrepair than the lymphoblastoid model, despite having similar amounts of initial DNA damage and total misrepairs for each irradiation scenario.<i>Significance.</i>This framework represents a step forward in radiobiological modeling and simulation allowing for more realistic investigation of radiosensitivity in different types of cells.

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Publication Details

Journal
Physics in Medicine and Biology
Published
2024-11-21
DOI
https://doi.org/10.1088/1361-6560/ad94c6
Citations
2
Primary Topic
Radiation Therapy and Dosimetry
Type
article
Field-Weighted Citation Impact
0.84
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article

Integrating chromosome conformation and DNA repair in a computational framework to assess cell radiosensitivity *

Rachel Patton McCord, Greeshma Agasthya, Anuj Kapadia, C-K Chris Wang et al.
2 citations
Physics in Medicine and Biology
Radiation Therapy and Dosimetry
0.84
article

Integrating chromosome conformation and DNA repair in a computational framework to assess cell radiosensitivity *

Rachel Patton McCord, Greeshma Agasthya, Anuj Kapadia, C-K Chris Wang, Matthew Andriotty
article en
2 citations

Abstract

<i>Objective.</i>The arrangement of chromosomes in the cell nucleus has implications for cell radiosensitivity. The development of new tools to utilize Hi-C chromosome conformation data in nanoscale radiation track structure simulations allows for<i>in silico</i>investigation of this phenomenon. We have developed a framework employing Hi-C-based cell nucleus models in Monte Carlo radiation simulations, in conjunction with mechanistic models of DNA repair, to predict not only the initial radiation-induced DNA damage, but also the repair outcomes resulting from this damage, allowing us to investigate the role chromosome conformation plays in the biological outcome of radiation exposure.<i>Approach.</i>In this study, we used this framework to generate cell nucleus models based on Hi-C data from fibroblast and lymphoblastoid cells and explore the effects of cell type-specific chromosome structure on radiation response. The models were used to simulate external beam irradiation including DNA damage and subsequent DNA repair. The kinetics of the simulated DNA repair were compared with previous results.<i>Main results.</i>We found that the fibroblast models resulted in a higher rate of inter-chromosome misrepair than the lymphoblastoid model, despite having similar amounts of initial DNA damage and total misrepairs for each irradiation scenario.<i>Significance.</i>This framework represents a step forward in radiobiological modeling and simulation allowing for more realistic investigation of radiosensitivity in different types of cells.

Physics in Medicine and BiologyVol. 69(24)
Oak Ridge National Laboratory (US), Georgia Institute of Technology (US), Knoxville College (US), University of Tennessee at Knoxville (US)
Openalex Percentile: Top 23%
Radiation Therapy and Dosimetry
0.84
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