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Published on: October 28, 2019
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.
Abstract:
How a cell determines a given phenotype upon damaged DNA is an open problem. Cell fate decisions happen at cell cycle checkpoints and it is becoming clearer that the p53 pathway is a major regulator of cell fate decisions involving apoptosis or senescence upon DNA damage, especially at G1/S. However, recent results suggest that this pathway is also involved in autophagy induction upon DNA damage. To our knowledge, in this work we propose the first model of the DNA damage-induced G1/S checkpoint contemplating the decision between three phenotypes: apoptosis, senescence, and autophagy. The Boolean model is proposed based on experiments with U87 glioblastoma cells using the transfection of miR-16 that can induce a DNA damage response. The wild-type case of the model shows that DNA damage induces the checkpoint and the coexistence of the three phenotypes (tristable dynamics), each with a different probability. We also predict that the positive feedback involving ATM, miR-16, and Wip1 has an influence on the tristable state. The model predictions were compared to experiments of gain and loss of function in other three different cell lines (MCF-7, A549, and U2OS) presenting agreement. For p53-deficient cell lines such as HeLa, H1299, and PC-3, our model contemplates the experimental observation that the alternative AMPK pathway can compensate this deficiency. We conclude that at the G1/S checkpoint the p53 pathway (or, in its absence, the AMPK pathway) can regulate the induction of different phenotypes in a stochastic manner in the U87 cell line and others.
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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