Oct 2026· Microorganisms· 0 citations· 52 references
Abstract
Secretion of recombinant proteins from microbial cell factories is a promising strategy for recombinant protein biomanufacturing as it simplifies downstream processing. In this study, we sought to intensify the Lactococcus lactis high-cell-density culture, using basic fibroblast growth factor 2 (FGF2) as a model recombinant protein. We implemented a perfusion strategy using tangential flow filtration for cell retention, allowing the continuous removal of inhibitory metabolites while replenishing fresh nutrients. When conventional 2 × GM17 medium was used, the approach outperformed batch cultivation, achieving a 4.7-fold increase in biomass and a 3-fold increase in secreted FGF2, reaching a titer of 10,416 ± 892 µg·L−1. Concurrently, we developed a bioprocess model for L. lactis grown in a fortified spent cell culture medium, enabling systematic exploration of operating conditions. A Pareto front was generated for FGF2 titer against media usage, and perfusion profiles balancing both competing objectives were identified. An experimentally selected operating point validated the model predictions, yielding a final OD600 of 49.2 ± 0.3 and FGF2 titer of 2166 ± 161 µg·L−1 FGF2, which were 7.9-fold and 5-fold higher than batch process respectively. Overall, this work demonstrates a perfusion-based intensification strategy for L. lactis and highlights the utility of model-guided process decision-making to enhance productivity while reducing waste.
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Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.