Toward scalable in vitro models: a novel experimental and computational pipeline for the identification of cellular metabolic parameters

Authors

  • Piera Mancini Research Center “E. Piaggio”, University of Pisa, Pisa
  • Ermes Botte Research Center “E. Piaggio”, University of Pisa, Pisa; Department of Information Engineering, University of Pisa, Pisa
  • Chiara Magliaro Research Center “E. Piaggio”, University of Pisa, Pisa
  • Arti Ahluwalia Research Center “E. Piaggio”, University of Pisa, Pisa; Department of Information Engineering, University of Pisa, Pisa

DOI:

https://doi.org/10.4081/bse.179

Keywords:

In vitro models, 2D cell cultures, oxygen consumption rate, parameter identification

Abstract

Oxygen utilization by cells has a crucial role in the design of advanced in vitro models. The aim of this study is to develop an experimental and computational pipeline for identifying oxygen metabolism parameters. We applied the approach to HepG2 cell monolayer cultures, demonstrating that such parameters depend on cell density.

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Published

29-09-2021

Issue

Vol. 2 No. 1 (2021)

Section

Communications

License

PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.

How to Cite

Toward scalable in vitro models: a novel experimental and computational pipeline for the identification of cellular metabolic parameters. (2021). Biomedical Science and Engineering, 2(1). https://doi.org/10.4081/bse.179