Skip to Main content Skip to Navigation
New interface
Journal articles

Large-Scale Modeling Approach Reveals Functional Metabolic Shifts during Hepatic Differentiation

Abstract : Being able to explore the metabolism of broad metabolizing cells is of critical importance in many research fields. This article presents an original modeling solution combining metabolic network and omics data to identify modulated metabolic pathways and changes in metabolic functions occurring during differentiation of a human hepatic cell line (HepaRG). Our results confirm the activation of hepato-specific functionalities and newly evidence modulation of other metabolic pathways, which could not be evidenced from transcriptomic data alone. Our method takes advantage of the network structure to detect changes in metabolic pathways that do not have gene annotations and exploits flux analyses techniques to identify activated metabolic functions. Compared to the usual cell-specific metabolic network reconstruction approaches, it limits false predictions by considering several possible network configurations to represent one phenotype rather than one arbitrarily selected network. Our approach significantly enhances the comprehensive and functional assessment of cell metabolism, opening further perspectives to investigate metabolic shifts occurring within various biological contexts.
Complete list of metadata

Cited literature [86 references]  Display  Hide  Download
Contributor : Laurent Jonchère Connect in order to contact the contributor
Submitted on : Monday, December 3, 2018 - 1:44:07 PM
Last modification on : Friday, November 18, 2022 - 3:24:26 PM
Long-term archiving on: : Monday, March 4, 2019 - 2:11:09 PM


Poupin et al_2018_A large-scal...
Files produced by the author(s)



Nathalie Poupin, Anne Corlu, Nicolas J. Cabaton, Hélène Dubois-Pot-Schneider, Cécile Canlet, et al.. Large-Scale Modeling Approach Reveals Functional Metabolic Shifts during Hepatic Differentiation. Journal of Proteome Research, 2019, 18 (1), pp.204-216. ⟨10.1021/acs.jproteome.8b00524⟩. ⟨hal-01937261⟩



Record views


Files downloads