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Cell Cycle-specific Measurement of γH2AX and Apoptosis After Genotoxic Stress by Flow Cytometry

Cell Cycle-specific Measurement of γH2AX and Apoptosis After Genotoxic Stress by Flow Cytometry

Published on: September 1, 2019

Radiation-induced cell cycle perturbations: a computational tool validated with flow-cytometry data.

Leonardo Lonati¹, Sofia Barbieri^2,3, Isabella Guardamagna²

¹Radiation Biophysics and Radiobiology Group, Physics Department, University of Pavia, 27100, Pavia, IT, Italy. leonardo.lonati01@universitadipavia.it.

Scientific Reports

|January 14, 2021

Summary

This summary is machine-generated.

This study introduces a computational model to predict cell cycle changes after radiation exposure. The model accurately reproduces experimental data, showing potential for clinical applications in radiation therapy.

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Cell Cycle-specific Measurement of γH2AX and Apoptosis After Genotoxic Stress by Flow Cytometry

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Published on: September 1, 2019

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Analysis of Cell Cycle Position in Mammalian Cells

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Published on: January 21, 2012

Area of Science:

Computational biology
Radiobiology
Cell cycle kinetics

Background:

Computational models are crucial for understanding cell cycle dynamics and predicting responses to treatments like radiation.
Existing models can be refined to better predict the effects of ionizing radiation on cell cycle progression.

Purpose of the Study:

To develop and validate a deterministic compartmental model for cell cycle distribution post-irradiation.
To assess the model's ability to predict G2-phase block and S-phase accumulation following radiation exposure.

Main Methods:

A deterministic compartmental model representing four cell-cycle phases was developed.
Differential equations described temporal evolution, with parameters for transition, division, and synthesis rates.
The model was validated using in vitro irradiation experiments on human lung fibroblasts (IMR90) and flow cytometry analysis.

Main Results:

The model accurately reproduced experimental cell cycle profiles after 2 and 5 Gy irradiation.
Observed effects included an early G2-phase block and later S-phase accumulation, dose-dependent.
Model parameters were adjusted to achieve good agreement between simulated and experimental data.

Conclusions:

The developed computational model provides a proof-of-concept for predicting radiation-induced cell cycle perturbations.
The model shows promise for future development and integration into clinical tools for optimizing radiation therapy protocols.