Modelling chronotaxicity of cellular energy metabolism to facilitate the identification of altered metabolic states

Lancaster, Gemma and Suprunenko, Yevhen and Jenkins, Kirsten and Stefanovska, Aneta (2016) Modelling chronotaxicity of cellular energy metabolism to facilitate the identification of altered metabolic states. Scientific Reports, 6. ISSN 2045-2322

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Abstract

Altered cellular energy metabolism is a hallmark of many diseases, one notable example being cancer. Here, we focus on the identification of the transition from healthy to abnormal metabolic states. To do this, we study the dynamics of energy production in a cell. Due to the thermodynamic openness of a living cell, the inability to instantaneously match fluctuating supply and demand in energy metabolism results in nonautonomous time-varying oscillatory dynamics. However, such oscillatory dynamics is often neglected and treated as stochastic. Based on experimental evidence of metabolic oscillations, we show that changes in metabolic state can be described robustly by alterations in the chronotaxicity of the corresponding metabolic oscillations, i.e.\ the ability of an oscillator to resist external perturbations. We also present a method for the identification of chronotaxicity, applicable to general oscillatory signals and, importantly, apply this to real experimental data. Evidence of chronotaxicity was found in glycolytic oscillations in real yeast cells, verifying that chronotaxicity could be used to study transitions between metabolic states.

Item Type: Journal Article
Journal or Publication Title: Scientific Reports
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1000
Subjects:
Departments: Faculty of Science and Technology > Physics
ID Code: 80163
Deposited By: ep_importer_pure
Deposited On: 23 Jun 2016 10:40
Refereed?: Yes
Published?: Published
Last Modified: 14 Oct 2019 13:15
URI: https://eprints.lancs.ac.uk/id/eprint/80163

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