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Sanger Sequencing

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Updated: Jul 13, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

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

This summary is machine-generated.

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.

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Last Updated: Jul 13, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

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Published on: May 23, 2018

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Using Next Generation Sequencing to Identify Mutations Associated with Repair of a CAS9-induced Double Strand Break Near the CD4 Promoter

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Published on: March 31, 2022

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.