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Sci Rep. 2017 Dec 14;7(1):17605. doi: 10.1038/s41598-017-18001-w.

Quantitative assessment of cell fate decision between autophagy and apoptosis.

Author information

1
Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, 15213, USA. liubing@pitt.edu.
2
Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
3
Department of Pathology, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
4
Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, 15213, PA, USA.
5
Department of Pediatrics, Washington University School of Medicine, St Louis, Missouri, MO, 63110, USA.
6
Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, 15213, USA. bahar@pitt.edu.

Abstract

Autophagy and apoptosis are cellular processes that regulate cell survival and death, the former by eliminating dysfunctional components in the cell, the latter by programmed cell death. Stress signals can induce either process, and it is unclear how cells 'assess' cellular damage and make a 'life' or 'death' decision upon activating autophagy or apoptosis. A computational model of coupled apoptosis and autophagy is built here to analyze the underlying signaling and regulatory network dynamics. The model explains the experimentally observed differential deployment of autophagy and apoptosis in response to various stress signals. Autophagic response dominates at low-to-moderate stress; whereas the response shifts from autophagy (graded activation) to apoptosis (switch-like activation) with increasing stress intensity. The model reveals that cytoplasmic Ca2+ acts as a rheostat that fine-tunes autophagic and apoptotic responses. A G-protein signaling-mediated feedback loop maintains cytoplasmic Ca2+ level, which in turn governs autophagic response through an AMP-activated protein kinase (AMPK)-mediated feedforward loop. Ca2+/calmodulin-dependent kinase kinase β (CaMKKβ) emerges as a determinant of the competing roles of cytoplasmic Ca2+ in autophagy regulation. The study demonstrates that the proposed model can be advantageously used for interrogating cell regulation events and developing pharmacological strategies for modulating cell decisions.

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