Bioreactor process parameter screening utilizing a Plackett-Burman design for a model monoclonal antibody

Area of Science:

• Biotechnology
• Bioprocessing Engineering
• Cell Culture Technology

Background:

• Consistent high-quality antibody yield is essential in biopharmaceutical manufacturing.
• Process deviations can compromise product quality, necessitating regulatory approval for changes.
• Optimizing bioreactor parameters is key to achieving desired product attributes.

Purpose of the Study:

• To investigate the impact of various process variables on antibody quality attributes.
• To identify critical factors affecting glycan profiles in cell culture.
• To establish a foundation for optimizing monoclonal antibody production processes.

Main Methods:

• Application of a Plackett-Burman screening design in laboratory-scale parallel cultures.
• Evaluation of 11 distinct process variables.
• Analysis of glycan profiles, including fucosylation, β-galactosylation, and sialylation.

Main Results:

• Identified culture temperature and nonessential amino acid supplementation as significant factors influencing glycan profiles.
• Determined the relative importance of 11 process variables on antibody quality.
• Provided insights into controlling desirable and undesirable glycan structures.

Conclusions:

• Engineering changes in culture temperature and amino acid supplementation can effectively modulate critical glycan profiles.
• This approach facilitates a better understanding of process-attribute relationships for monoclonal antibody production.
• Optimized bioprocessing leads to improved antibody yield and quality.