Macroscopic modeling of mammalian cell growth and metabolism

Verfasser / Beitragende:
[Bassem Ben Yahia, Laetitia Malphettes, Elmar Heinzle]
Ort, Verlag, Jahr:
2015
Enthalten in:
Applied Microbiology and Biotechnology, 99/17(2015-09-01), 7009-7024
Format:
Artikel (online)
ID: 605503087
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024 7 0 |a 10.1007/s00253-015-6743-6  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00253-015-6743-6 
245 0 0 |a Macroscopic modeling of mammalian cell growth and metabolism  |h [Elektronische Daten]  |c [Bassem Ben Yahia, Laetitia Malphettes, Elmar Heinzle] 
520 3 |a 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. 
540 |a The Author(s), 2015 
690 7 |a Cell culture  |2 nationallicence 
690 7 |a Macroscopic modeling  |2 nationallicence 
690 7 |a Antibody production  |2 nationallicence 
690 7 |a Kinetic models  |2 nationallicence 
690 7 |a Stoichiometric relationships  |2 nationallicence 
690 7 |a Quality by Design  |2 nationallicence 
700 1 |a Ben Yahia  |D Bassem  |u Biochemical Engineering Institute, Saarland University, Campus A1.5, D-66123, Saarbruecken, Germany  |4 aut 
700 1 |a Malphettes  |D Laetitia  |u Upstream Process Sciences Biotech Sciences, UCB Pharma S.A., Avenue de l'Industrie, B-1420,, Braine l'Alleud, Belgium  |4 aut 
700 1 |a Heinzle  |D Elmar  |u Biochemical Engineering Institute, Saarland University, Campus A1.5, D-66123, Saarbruecken, Germany  |4 aut 
773 0 |t Applied Microbiology and Biotechnology  |d Springer Berlin Heidelberg  |g 99/17(2015-09-01), 7009-7024  |x 0175-7598  |q 99:17<7009  |1 2015  |2 99  |o 253 
856 4 0 |u https://doi.org/10.1007/s00253-015-6743-6  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a review-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00253-015-6743-6  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ben Yahia  |D Bassem  |u Biochemical Engineering Institute, Saarland University, Campus A1.5, D-66123, Saarbruecken, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Malphettes  |D Laetitia  |u Upstream Process Sciences Biotech Sciences, UCB Pharma S.A., Avenue de l'Industrie, B-1420,, Braine l'Alleud, Belgium  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Heinzle  |D Elmar  |u Biochemical Engineering Institute, Saarland University, Campus A1.5, D-66123, Saarbruecken, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Applied Microbiology and Biotechnology  |d Springer Berlin Heidelberg  |g 99/17(2015-09-01), 7009-7024  |x 0175-7598  |q 99:17<7009  |1 2015  |2 99  |o 253