Growth behavior of number distributed adherent MDCK cells for optimization in microcarrier cultures.
An assay for measuring the number of adherent cells on microcarriers that is independent from dilution errors in sample preparation was used to investigate attachment dynamics and cell growth. It could be shown that the recovery of seeded cells is a function of the specific rates of cell attachment and cell death, and finally a function of the initial cell-to-bead ratio. An unstructured, segregated population balance model was developed that considers individual classes of microcarriers covered by 1-220 cells/bead. The model describes the distribution of initially attached cells and their growth in a microcarrier system. The model distinguishes between subpopulations of dividing and nondividing cells and describes in a detailed way cell attachment, cell growth, density-dependent growth inhibition, and basic metabolism of Madin-Darby canine kidney cells used in influenza vaccine manufacturing. To obtain a model approach that is suitable for process control applications, a reduced growth model without cell subpopulations, but with a formulation of the specific cell growth rate as a function of the initial cell distribution on microcarriers after seeding was developed. With both model approaches, the fraction of growth-inhibited cells could be predicted. Simulation results of two cultivations with a different number of initially seeded cells showed that the growth kinetics of adherent cells at the given cultivation conditions is mainly determined by the range of disparity in the initial distribution of cells on microcarriers after attachment.
Bock
Andreas
A
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Sandtorstrasse 1, 39106 Magdeburg, Germany. bock@mpi-magdeburg.mpg.de
Sann
Heiner
H
Schulze-Horsel
Josef
J
Genzel
Yvonne
Y
Reichl
Udo
U
Möhler
Lars
L
D000465:Algorithms; D000818:Animals; D002448:Cell Adhesion / Q000502:physiology*; D018929:Cell Culture Techniques / Q000379:methods*; D048708:Cell Growth Processes / Q000502:physiology; D002460:Cell Line / Q000502:physiology*; D003198:Computer Simulation; D004285:Dogs; D007668:Kidney / Q000166:cytology*; D008954:Models, Biological