Excitation states of metabolic networks predict dose-response fingerprinting and ligand pulse phase signalling.

Jay S Coggan, Daniel Keller, Henry Markram, Felix Schürmann, Pierre J. Magistretti

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


With a computational model of energy metabolism in an astrocyte, we show how a system of enzymes in a cascade can act as a functional unit of interdependent reactions, rather than merely a series of independent reactions. These systems may exist in multiple states, depending on the level of stimulation, and the effects of substrates at any point will depend on those states. Response trajectories of metabolites downstream from cAMP-stimulated glycogenolysis exhibit a host of non-linear dynamical response characteristics including hysteresis and response envelopes. Dose-dependent phase transitions predict a novel intracellular signalling mechanism and suggest a theoretical framework that could be relevant to single cell information processing, drug discovery or synthetic biology. Ligands may produce unique dose-response fingerprints depending on the state of the system, allowing selective output tuning. We conclude with the observation that state- and dose-dependent phase transitions, what we dub
Original languageEnglish (US)
Pages (from-to)110123
JournalJournal of theoretical biology
StatePublished - Dec 19 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Supported by a CRG grant from King Abdullah University of Science and Technology "KAUST-EPFL Alliance for Integrative Modeling of Brain Energy Metabolism" [grant number 2313] (PJM); This study was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne, from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology (HM); NCCR Synapsy (PJM); and the Prefargier Foundation (PJM).


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