Flux Sampling Suggests Metabolic Signatures of High Antibody-Producing CHO Cells

Area of Science:

• Biotechnology
• Metabolic Engineering
• Cellular Metabolism

Background:

• Chinese hamster ovary (CHO) cells are crucial for therapeutic protein and monoclonal antibody (mAb) production.
• Enhancing recombinant protein titers and understanding cellular mechanisms in bioprocessing remain significant challenges.

Purpose of the Study:

• To improve bioprocess performance by gaining deeper insights into CHO cell function.
• To bridge the gap between omics data and in silico phenotypic predictions using genome-scale metabolic models (GEMs).

Main Methods:

• Constraining culture phase-specific GEMs using time-course transcriptomics data from CHO cell fed-batch bioreactor cultures.
• Validating flux sampling results with temporal bioprocess data, including metabolite rates, growth, and productivity.
• Utilizing constraint-based modeling to identify metabolic signatures and key nutrients for enhanced mAb production.

Main Results:

• Developed culture phase-specific GEMs for CHO cells (early exponential, late exponential, stationary/death phases).
• Identified high monoclonal antibody (mAb)-producing solutions and hypothesized associated metabolic signatures.
• Inferred specific amino acids (cysteine, histidine, leucine, isoleucine, asparagine, serine) potentially driving increased mAb production.

Conclusions:

• Genome-scale metabolic models (GEMs) are powerful tools for understanding and optimizing CHO cell bioprocessing.
• Specific amino acid supplementation can potentially enhance mAb production in CHO cell cultures.
• This study provides a framework for guiding media and feed formulation for improved biotherapeutic manufacturing.