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Updated: Apr 5, 2026

In Vitro and In Vivo Detection of Mitophagy in Human Cells, C. Elegans, and Mice
Published on: November 22, 2017
Autophagy capacity and sub-mitochondrial heterogeneity shape Bnip3-induced mitophagy regulation of apoptosis
Sehyo Charley Choe1,2,3, Anne Hamacher-Brady3,4, Nathan Ryan Brady5,6,7
1Systems Biology of Cell Death Mechanisms, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Background:
Mitochondria are key regulators of apoptosis. In response to stress, BH3-only proteins activate pro-apoptotic Bcl2 family proteins Bax and Bak, which induce mitochondrial outer membrane permeabilization (MOMP). While the large-scale mitochondrial release of pro-apoptotic proteins activates caspase-dependent cell death, a limited release results in sub-lethal caspase activation which promotes tumorigenesis. Mitochondrial autophagy (mitophagy) targets dysfunctional mitochondria for degradation by lysosomes, and undergoes extensive crosstalk with apoptosis signaling, but its influence on apoptosis remains undetermined. The BH3-only protein Bnip3 integrates apoptosis and mitophagy signaling at different signaling domains. Bnip3 inhibits pro-survival Bcl2 members via its BH3 domain and activates mitophagy through its LC3 Interacting Region (LIR), which is responsible for binding to autophagosomes. Previously, we have shown that Bnip3-activated mitophagy prior to apoptosis induction can reduce mitochondrial activation of caspases, suggesting that a reduction to mitochondrial levels may be pro-survival. An outstanding question is whether organelle dynamics and/or recently discovered subcellular variations of protein levels responsible for both MOMP sensitivity and crosstalk between apoptosis and mitophagy can influence the cellular apoptosis decision event. To that end, here we undertook a systems biology analysis of mitophagy-apoptosis crosstalk at the level of cellular mitochondrial populations.
Results:
Based on experimental findings, we developed a multi-scale, hybrid model with an individually adaptive mitochondrial population, whose actions are determined by protein levels, embedded in an agent-based model (ABM) for simulating subcellular dynamics and local feedback via reactive oxygen species signaling. Our model, supported by experimental evidence, identified an emergent regulatory structure within canonical apoptosis signaling. We show that the extent of mitophagy is determined by levels and spatial localization of autophagy capacity, and subcellular mitochondrial protein heterogeneities. Our model identifies mechanisms and conditions that alter the mitophagy decision within mitochondrial subpopulations to an extent sufficient to shape cellular outcome to apoptotic stimuli.
Conclusion:
Overall, our modeling approach provides means to suggest new experiments and implement findings at multiple scales in order to understand how network topologies and subcellular heterogeneities can influence signaling events at individual organelle level, and hence, determine the emergence of heterogeneity in cellular decisions due the actions of the collective intra-cellular population.
Insights
Mitochondrial autophagy (mitophagy) and apoptosis crosstalk is modeled to reveal how organelle dynamics influence cell death decisions. Subcellular variations in protein levels and mitophagy extent can alter cellular responses to apoptotic stimuli.
Area of Science:
- Cell Biology
- Systems Biology
- Computational Biology
Background:
- Mitochondria regulate apoptosis, with BH3-only proteins activating Bax/Bak to induce mitochondrial outer membrane permeabilization (MOMP).
- Limited MOMP can lead to sub-lethal caspase activation, promoting tumorigenesis.
- Mitochondrial autophagy (mitophagy) interacts with apoptosis, but its role in the apoptosis decision is unclear.
Purpose of the Study:
- Investigate the influence of organelle dynamics and subcellular protein variations on the apoptosis decision.
- Analyze mitophagy-apoptosis crosstalk at the level of cellular mitochondrial populations using systems biology.
Main Methods:
- Developed a multi-scale, hybrid model incorporating an individually adaptive mitochondrial population.
- Utilized an agent-based model (ABM) to simulate subcellular dynamics and reactive oxygen species signaling.
- Integrated experimental findings to support the model.
Main Results:
- Identified an emergent regulatory structure within canonical apoptosis signaling.
- Demonstrated that mitophagy extent depends on autophagy capacity, spatial localization, and mitochondrial protein heterogeneities.
- Revealed mechanisms altering mitophagy decisions within subpopulations to shape cellular outcomes.
Conclusions:
- The modeling approach suggests new experimental avenues.
- Highlights how network topologies and subcellular heterogeneities influence organelle-level signaling.
- Explains the emergence of heterogeneity in cellular decisions from collective mitochondrial actions.
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