Mathematical modeling of growth and death dynamics of mouse embryonic stem cells irradiated with γ-rays

N Terranova1, P Rebuzzini2, G Mazzini3

  • 1Dipartimento di Ingegneria Industriale e dell׳Informazione, Università degli Studi di Pavia, Via Ferrata 5, I-27100 Pavia, Italy.

Insights

Ionizing radiation induces apoptosis and cell cycle arrest in mouse embryonic stem cells (mESCs). A new mathematical model quantifies radiation-induced apoptosis probability and its phase durations in mESCs.

Area of Science:

  • Cell Biology
  • Radiation Biology
  • Mathematical Modeling

Background:

  • Ionizing radiation exposure triggers apoptosis and G2/M cell cycle arrest in mouse embryonic stem cells (mESCs).
  • Understanding the precise dynamics of mESC response, including apoptosis progression, is crucial but challenging due to limitations in directly interpreting experimental data.
  • Existing methods struggle to capture the temporal nuances of cell death pathways following radiation treatment.

Purpose of the Study:

  • To develop and validate a semi-mechanistic mathematical model to describe the time-dependent behavior of mESCs after ionizing radiation exposure.
  • To quantify the probability of apoptosis induction in mESCs at different radiation doses (2 Gy and 5 Gy).
  • To estimate the temporal parameters of the apoptotic process, including overall duration and individual phase lengths.

Main Methods:

  • Mouse embryonic stem cells (mESCs) were irradiated with 2 Gy or 5 Gy of gamma rays.
  • Cell samples were collected over 48 hours post-irradiation.
  • Apoptosis was quantified using the Annexin V assay at each time point.
  • A five-compartment semi-mechanistic mathematical model was developed to analyze the time-course data.

Main Results:

  • The mathematical model successfully described the time curves of both untreated and irradiated mESCs.
  • A 5 Gy dose significantly increased the probability of apoptosis by an estimated 0.2 compared to controls.
  • A 2 Gy dose resulted in a non-statistically significant increase in apoptosis probability (0.07).
  • The model provided estimations for the duration of the entire apoptotic process and its distinct early, intermediate, and late phases.

Conclusions:

  • The developed mathematical model offers a robust framework for analyzing mESC responses to ionizing radiation.
  • The model quantitatively differentiates the apoptotic potential of varying radiation doses.
  • This approach enhances the understanding of radiation-induced cell death dynamics in stem cells, aiding in radiobiology research.