Cyclin and DNA distributed cell cycle model for GS-NS0 cells

Area of Science:

• Biotechnology
• Cell Biology
• Bioprocess Engineering

Background:

• Mammalian cell cultures exhibit inherent heterogeneity impacting growth, death, and productivity.
• Existing cell cycle models lack mechanistic basis and experimental tractability.
• Cyclins, key regulators of cell cycle transition, offer a promising avenue for improved modeling.

Purpose of the Study:

• To develop a novel integrated experimental-modeling platform for mammalian cell cultures.
• To create a cyclin and DNA distributed model for enhanced cell cycle heterogeneity analysis.
• To link cyclin/DNA synthesis rates to culture medium factors influencing cell growth and productivity.

Main Methods:

• Experimental quantification of cell cycle metrics (timings, fractions, cyclin expression) via flow cytometry.
• Development of a cyclin and DNA distributed model for the GS-NS0 cell line.
• Global sensitivity analysis (GSA) to identify critical model parameters.
• Model parameter re-estimation using batch experiment data.

Main Results:

• The model accurately captured cell population heterogeneity under various conditions.
• A good fit was observed between model predictions and experimental data for cell cycle and viable cell density.
• Fast computational times were achieved, suitable for model-based applications.
• Cell antibody productivity was characterized using cell cycle-specific production rates.

Conclusions:

• The developed modeling approach effectively captures mammalian cell culture heterogeneity.
• This versatile platform facilitates a deeper understanding of complex cellular systems.
• The approach enables systematic formulation of culture strategies to enhance growth and productivity.
• This modeling strategy holds potential for industrial cell line development and clinical studies.