MitoMAMMAL: A Model for Mammalian Mitochondrial Metabolism
Author Information
Author(s): Stephen Chapman, Theo Brunet, Arnaud Mourier, Bianca H. Habermann
Primary Institution: Aix-Marseille University, CNRS, IBDM UMR7288, Turing Center for Living Systems (CENTURI), Marseille, France
Hypothesis
Can a genome-scale model of mammalian mitochondria accurately predict cardiac and brown adipose tissue metabolism?
Conclusion
MitoMammal effectively models mitochondrial metabolism in both mouse and human contexts, providing accurate predictions related to energy metabolism.
Supporting Evidence
- MitoMammal accurately predicted ATP production from glucose oxidation.
- The model demonstrated the ability to integrate data from both mouse and human tissues.
- Flux predictions aligned with known metabolic pathways in cardiac and brown adipose tissues.
Takeaway
MitoMammal is a computer model that helps scientists understand how energy is made in the cells of mice and humans, especially in heart and fat tissues.
Methodology
The model integrates proteomic and transcriptomic data using an adapted E-Flux algorithm and performs flux balance analysis.
Limitations
The model assumes all mitochondria in a tissue behave identically and does not account for interactions with other organelles.
Digital Object Identifier (DOI)
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