Towards DNA-damage induced autophagy: A Boolean model of p53-induced cell fate mechanisms

Shantanu Gupta1, Daner A Silveira1, José Carlos M Mombach1

  • 1Universidade Federal de Santa Maria, Santa Maria, RS, Brazil.

DNA Repair
|September 28, 2020
PubMed

Insights

This study introduces the first model of the G1/S cell cycle checkpoint, revealing how DNA damage triggers apoptosis, senescence, or autophagy. The p53 pathway, or AMPK in its absence, governs these cell fate decisions stochastically.

Area of Science:

  • Cell Biology
  • Systems Biology
  • Genetics

Background:

  • Cell fate determination after DNA damage is poorly understood.
  • The p53 pathway is known to regulate apoptosis and senescence at G1/S checkpoints.
  • Emerging evidence implicates p53 in DNA damage-induced autophagy.

Purpose of the Study:

  • To develop the first computational model of the G1/S checkpoint.
  • To investigate cell fate decisions (apoptosis, senescence, autophagy) following DNA damage.
  • To explore the role of the p53 and AMPK pathways in these decisions.

Main Methods:

  • A Boolean model was constructed based on experimental data from U87 glioblastoma cells.
  • Experiments involved transfecting cells with miR-16 to induce DNA damage response.
  • Model predictions were validated using gain and loss of function experiments in multiple cell lines.

Main Results:

  • The model predicts tristable dynamics, where DNA damage induces the checkpoint and allows for apoptosis, senescence, or autophagy with varying probabilities.
  • A positive feedback loop involving ATM, miR-16, and Wip1 influences the tristable state.
  • The model accurately predicts outcomes in p53-deficient cell lines, highlighting the compensatory role of the AMPK pathway.

Conclusions:

  • The p53 pathway (or AMPK pathway in p53-deficient cells) regulates G1/S checkpoint cell fate decisions stochastically.
  • The study provides a novel framework for understanding the complex interplay of DNA damage response pathways.
  • Findings have implications for cancer research and therapeutic strategies targeting cell death and survival.

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