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Intracellular Measurement-Informed Multiscale Modeling for Scalable iPSC Manufacturing
Fuqiang Cheng1, Zahra Foroozan Jahromi2, Keqi Wang1
1Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA.
Arxiv
|March 30, 2026
Summary
Scalable manufacturing of human induced pluripotent stem cells (iPSCs) requires understanding 3D culture heterogeneity. A new multiscale model links molecular, cellular, and macroscopic processes for predictive metabolic modeling in iPSC biomanufacturing.
Area of Science:
- Biotechnology and Bioprocessing
- Stem Cell Biology
- Metabolic Engineering
Background:
- Scalable manufacturing of human induced pluripotent stem cells (iPSCs) is critical for cell therapies.
- Existing 3D aggregate cultures show spatial and metabolic heterogeneity, hindering mechanistic understanding and predictive modeling.
- Laboratory-scale monolayer systems are more homogeneous but do not fully represent manufacturing conditions.
Purpose of the Study:
- To develop a multiscale mechanistic model for human induced pluripotent stem cells (iPSCs) that accounts for spatial and metabolic heterogeneity in 3D aggregate cultures.
- To link molecular, cellular, and macroscopic processes for improved mechanistic understanding and predictive metabolic modeling.
- To provide a quantitative foundation for scalable iPSC biomanufacturing.
Main Methods:
- Developed a modular multiscale mechanistic foundation model integrating extracellular dynamics, intracellular metabolic fluxes, and cellular redox states.
- Extended a monolayer kinetic network and coupled it with a biological systems-of-systems (Bio-SoS) multiscale model for aggregate cultures.
- Utilized systematic experiments including isotopic tracers, metabolite profiling, and two-photon optical redox imaging for model validation.
Main Results:
- The integrated framework successfully unified heterogeneous datasets across different culture configurations (monolayer and aggregate).
- The model enabled mechanistic interpretation of metabolic and redox responses in heterogeneous iPSC cultures.
- Demonstrated the capability to predict and understand metabolic behavior across various culture scales.
Conclusions:
- The developed multiscale model provides a quantitative foundation for understanding and optimizing scalable iPSC biomanufacturing.
- Accounting for spatial and metabolic heterogeneity is crucial for accurate modeling of iPSC aggregate cultures.
- This approach facilitates the advancement of cell therapies and regenerative medicines through improved manufacturing processes.

