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Prediction of key biological processes from intercellular DNA damage differences through model-based fitting.

Kensuke Otsuka1, Kouki Uchinomiya1, Yuki Yaguchi2

  • 1Biology and Environmental Chemistry Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry, 1646 Abiko, Abiko-shi, Chiba 270-1194, Japan.

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Summary

Genomic stress from DNA double-strand breaks (DSBs) influences cell survival and competitive interactions. The Acta2 gene mediates these interactions, impacting cancer microenvironment progression and cancer risk assessment.

Keywords:
CancerMathematical biosciencesMolecular biology

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Area of Science:

  • Cellular biology
  • Genomics
  • Mathematical modeling

Background:

  • DNA double-strand breaks (DSBs) critically affect mammalian cell survival.
  • Cellular repair capacity determines the impact of DSBs on survival.
  • Genomic instability is a hallmark of cancer development.

Purpose of the Study:

  • To develop a mathematical model for fibroblast survival rates under sequence-specific DSB burden.
  • To investigate cell-to-cell interactions in mixed cultures with varying DSB levels.
  • To identify genetic factors mediating competitive interactions between cells with different genomic stress levels.

Main Methods:

  • Induction of sequence-specific DSBs using the restriction enzyme AsiSI.
  • Mathematical modeling using the Lotka-Volterra competitive equation to analyze cell growth dynamics.
  • Comparative analysis of cell growth in monocultures versus mixed cultures.

Main Results:

  • Fibroblast survival rates with induced DSBs were accurately modeled.
  • Cell growth in mixed cultures with sporadic DSB burden fit competitive equations, suggesting modifying factors.
  • The Acta2 gene was identified as a key mediator of competitive interactions between cells with differing DSB burdens.

Conclusions:

  • Genomic stress, specifically DSBs, influences cellular fitness and competitive interactions.
  • The Acta2 gene plays a significant role in mediating these interactions, potentially driving cancer-associated fibroblast phenotypes.
  • These findings suggest that genomic stress is a determinant of cancer microenvironment progression and offers insights for cancer risk estimation.