caa a22 4500 605503087 CHVBK 20210128100609.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00253-015-6743-6 doi (NATIONALLICENCE)springer-10.1007/s00253-015-6743-6 Macroscopic modeling of mammalian cell growth and metabolism [Elektronische Daten] [Bassem Ben Yahia, Laetitia Malphettes, Elmar Heinzle] Abstract We review major modeling strategies and methods to understand and simulate the macroscopic behavior of mammalian cells. These strategies comprise two important steps: the first step is to identify stoichiometric relationships for the cultured cells connecting the extracellular inputs and outputs. In a second step, macroscopic kinetic models are introduced. These relationships together with bioreactor and metabolite balances provide a complete description of a system in the form of a set of differential equations. These can be used for the simulation of cell culture performance and further for optimization of production. The Author(s), 2015 Cell culture nationallicence Macroscopic modeling nationallicence Antibody production nationallicence Kinetic models nationallicence Stoichiometric relationships nationallicence Quality by Design nationallicence Ben Yahia Bassem Biochemical Engineering Institute, Saarland University, Campus A1.5, D-66123, Saarbruecken, Germany aut Malphettes Laetitia Upstream Process Sciences Biotech Sciences, UCB Pharma S.A., Avenue de l'Industrie, B-1420,, Braine l'Alleud, Belgium aut Heinzle Elmar Biochemical Engineering Institute, Saarland University, Campus A1.5, D-66123, Saarbruecken, Germany aut Applied Microbiology and Biotechnology Springer Berlin Heidelberg 99/17(2015-09-01), 7009-7024 0175-7598 99:17<7009 2015 99 253 https://doi.org/10.1007/s00253-015-6743-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 review-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00253-015-6743-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ben Yahia Bassem Biochemical Engineering Institute, Saarland University, Campus A1.5, D-66123, Saarbruecken, Germany aut NATIONALLICENCE 700 1- Malphettes Laetitia Upstream Process Sciences Biotech Sciences, UCB Pharma S.A., Avenue de l'Industrie, B-1420,, Braine l'Alleud, Belgium aut NATIONALLICENCE 700 1- Heinzle Elmar Biochemical Engineering Institute, Saarland University, Campus A1.5, D-66123, Saarbruecken, Germany aut NATIONALLICENCE 773 0- Applied Microbiology and Biotechnology Springer Berlin Heidelberg 99/17(2015-09-01), 7009-7024 0175-7598 99:17<7009 2015 99 253