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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
Published on: May 23, 2018
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Single-cell DNA sequencing-a potential dosimetric tool
Felix Mathew1, James Manalad1, Jonathan Yeo2
1Medical Physics Unit, McGill University, Montreal, Quebec, Canada.
Radiation Protection Dosimetry
|October 11, 2023
Summary
Single-cell whole-genome sequencing can detect radiation-induced DNA damage. Our simulation and experimental results show a clear dose-dependent relationship between radiation exposure and genomic mutations.
Area of Science:
- Genomics
- Radiation Biology
- Computational Biology
Background:
- Understanding cellular responses to radiation is crucial for radiation protection and therapy.
- Single-cell analysis offers high resolution for studying heterogeneous responses to genotoxic agents.
Purpose of the Study:
- To investigate the potential of single-cell whole-genome sequencing in detecting radiation-induced genomic alterations.
- To correlate radiation dose with the number of DNA damages at the single-cell level.
Main Methods:
- In silico simulation using Monte Carlo methods (TOPAS-nBio) with a geometric DNA model.
- In vitro experiments involving irradiation of cells with varying radiation doses.
- Single-cell whole-genome DNA sequencing analysis.
Main Results:
- The Monte Carlo simulation predicted a significant dose-dependent increase in cluster DNA damages per cell.
- Preliminary experimental data from single-cell whole-genome sequencing showed agreement with simulation predictions.
- A clear correlation was observed between radiation dose and detected genomic alterations.
Conclusions:
- Single-cell whole-genome sequencing is a viable method for detecting radiation-induced genomic mutations.
- The study validates the dose-dependent nature of DNA damage at the single-cell level.
- Computational modeling and experimental validation provide a robust approach to studying radiation effects on DNA.
