Respiromics - An integrative analysis linking mitochondrial bioenergetics to 
molecular signatures

Walheim, Ellen; Wiśniewski, Jacek R.; Jastroch, Martin

doi:10.1016/j.molmet.2018.01.002

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Respiromics - An integrative analysis linking mitochondrial bioenergetics to molecular signatures

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Wiśniewski, Jacek R.
Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society;

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Citation

Walheim, E., Wiśniewski, J. R., & Jastroch, M. (2018). Respiromics - An integrative analysis linking mitochondrial bioenergetics to molecular signatures. Molecular Metabolism, 9, 4-14. doi:10.1016/j.molmet.2018.01.002.

Cite as: https://hdl.handle.net/21.11116/0000-0002-C95B-6

Abstract

Objective: Energy metabolism is challenged upon nutrient stress, eventually leading to a variety of metabolic diseases that represent a major global health burden.
Methods: Here, we combine quantitative mitochondrial respirometry (Seahorse technology) and proteomics (LC-MS/MS-based total protein approach) to understand how molecular changes translate to changes in mitochondrial energy transduction during diet-induced obesity (DIO) in the liver.
Results: The integrative analysis reveals that significantly increased palmitoyl-carnitine respiration is supported by an array of proteins enriching lipid metabolism pathways. Upstream of the respiratory chain, the increased capacity for ATP synthesis during DIO associates strongest to mitochondrial uptake of pyruvate, which is routed towards carboxylation. At the respiratory chain, robust increases of complex I are uncovered by cumulative analysis of single subunit concentrations. Specifically, nuclear-encoded accessory subunits, but not mitochondrial-encoded or core units, appear to be permissive for enhanced lipid oxidation.
Conclusion: Our integrative analysis, that we dubbed "respiromics", represents an effective tool to link molecular changes to functional mechanisms in liver energy metabolism, and, more generally, can be applied for mitochondria! analysis in a variety of metabolic and mitochondrial disease models. (C) 2018 The Authors. Published by Elsevier GmbH.