title: Inverse problem analysis of pluripotent stem cell aggregation dynamics in stirred-suspension cultures.
abstract: The cultivation of stem cells as aggregates in scalable bioreactor cultures is an appealing modality for the large-scale manufacturing of stem cell products. Aggregation phenomena are central to such bioprocesses affecting the viability, proliferation and differentiation trajectory of stem cells but a quantitative framework is currently lacking. A population balance equation (PBE) model was used to describe the temporal evolution of the embryonic stem cell (ESC) cluster size distribution by considering collision-induced aggregation and cell proliferation in a stirred-suspension vessel. For ESC cultures at different agitation rates, the aggregation kernel representing the aggregation dynamics was successfully recovered as a solution of the inverse problem. The rate of change of the average aggregate size was greater at the intermediate rate tested suggesting a trade-off between increased collisions and agitation-induced shear. Results from forward simulation with obtained aggregation kernels were in agreement with transient aggregate size data from experiments. We conclude that the framework presented here can complement mechanistic studies offering insights into relevant stem cell clustering processes. More importantly from a process development standpoint, this strategy can be employed in the design and control of bioreactors for the generation of stem cell derivatives for drug screening, tissue engineering and regenerative medicine.
authors.affiliation: Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155, USA. Electronic address: mahboubeh@tufts.edu.
authors.forename: Mahboubeh Rahmati
authors.initials: MR
authors.lastname: Rostami
authors.affiliation: Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155, USA. Electronic address: jincheng.wu@tufts.edu.
authors.forename: Jincheng
authors.initials: J
authors.lastname: Wu
authors.affiliation: Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155, USA; Tufts Clinical and Translational Science Institute, Tufts Medical Center, Boston, MA 02111, USA. Electronic address: Tzanakakis@tufts.edu.
authors.forename: Emmanuel S
authors.initials: ES
authors.lastname: Tzanakakis
mesh_terms: D000818:Animals; D019149:Bioreactors; D002449:Cell Aggregation; D018929:Cell Culture Techniques / Q000379:methods*; D051379:Mice; D008954:Models, Biological; D000066450:Mouse Embryonic Stem Cells / Q000166:cytology* / Q000378:metabolism*
keywords: Aggregation kernel; Bioreactors; Inverse problem; Population balance equation model; Stem cells; Tissue engineering