Abstract
Functionally, a cell comprises spatially distributed and compartmentalized subsystems, the dynamics of which occurs on several temporal scales. Interactivity in complex spatiotemporally organized cellular systems is fundamental to their counterintuitive behavior and one of the main reasons why their study needs mathematical modeling. But models alone are not enough; what we ultimately require is a combined experimental–theoretical approach in order to validate our models as rigorously as possible.
We explore in a detailed example the success of experimental–modeling synergy leading to the elucidation of the mechanisms involved in synchronized mitochondrial oscillations in the heart, and the discovery there of new related mechanisms. This work involves successive and iterative reciprocal potentiation of the loop via experiments and computational modeling: simulation–validation and prediction– experimentation thereby alternate so as to provide a deeper understanding of complex biological phenomena.
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Acknowledgments
This work was performed with the financial support of R21HL106054 and R01-HL091923 from NIH.
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Cortassa, S., Aon, M.A. (2014). Dynamics of Mitochondrial Redox and Energy Networks: Insights from an Experimental–Computational Synergy. In: Aon, M., Saks, V., Schlattner, U. (eds) Systems Biology of Metabolic and Signaling Networks. Springer Series in Biophysics, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38505-6_5
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DOI: https://doi.org/10.1007/978-3-642-38505-6_5
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