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Updated: Nov 4, 2025

Using Next Generation Sequencing to Identify Mutations Associated with Repair of a CAS9-induced Double Strand Break Near the CD4 Promoter
Published on: March 31, 2022
Modeling double-strand breaks from direct and indirect action in a complete human genome single cell Geant4 model
Xiandong Zhao1, Ruirui Liu1, Tianyu Zhao1
1Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110, United States of America.
A new computational model accurately quantifies DNA strand breaks from radiation, distinguishing direct and indirect damage. This validated tool aids in understanding DNA damage mechanisms for improved radiation therapy and safety.
Area of Science:
- Computational Biology
- Radiation Biology
- Genetics
Background:
- Understanding DNA damage mechanisms is crucial for radiation therapy and safety.
- Quantifying direct and indirect DNA damage, particularly double-strand breaks (DSBs), remains a challenge.
- Accurate computational models are needed to simulate and analyze radiation-induced DNA damage.
Purpose of the Study:
- To develop and validate a computational model for investigating direct and indirect DNA damage.
- To quantify DNA strand breaks, specifically double-strand breaks (DSBs), using a detailed cell nucleus model.
- To assess the model's reliability in predicting DSB yield and relative biological effectiveness (RBE) for various radiation types.
Main Methods:
- A detailed human cell nucleus model with compacted DNA (6 Gbp) was created in Geant4.
- A framework simulating DSBs was implemented using the Geant4-DNA extension.
- A clustering algorithm was used to quantify direct, indirect, and mixed DSBs; model validated against experimental data.
Main Results:
- The model achieved general agreement with experimental and computational results for DSB yield and RBE.
- Simulated DSB yields for Co-60 photons, 250 kVp photons, and 2-100 MeV protons were within validated ranges.
- Mixed DSBs, resulting from direct and indirect damage, constituted over half of the total DSBs.
Conclusions:
- The developed computational model reliably predicts DSB yield and RBE for proton and photon irradiations.
- The model enables detailed investigation into the direct and indirect effects contributing to DNA damage.
- This tool can advance our understanding of radiation-induced DNA damage and its biological consequences.
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