Open AccessToward scalable <em>in vitro</em> models: a novel experimental and computational pipeline for the identification of cellular metabolic parameters
Author(s) -
P Mancini,
Ermes Botte,
Chiara Magliaro,
Arti Ahluwalia
Publication year - 2021
Publication title -
biomedical science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2531-9892
DOI - 10.4081/bse.2021.179
Subject(s) - pipeline (software) , in vitro , identification (biology) , computer science , microbiology and biotechnology , computational model , scalability , cell , computational biology , chemistry , biological system , biochemistry , biology , simulation , botany , database , programming language
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.