Modular development enables rapid design of media for alternative hosts

A toolkit for facilitating markerless integration of expression cassettes in Komagataella phaffii via CRISPR/Cas9

BACKGROUND

The yeast Komagataella phaffii (formerly known as Pichia pastoris) has been widely used for functional expression of recombinant proteins, including plant and animal food proteins. CRISPR/Cas9 genome editing systems can be used for insertion of heterologous genes without the use of selection markers. The study aimed to create a convenient markerless knock-in method for integrating expression cassettes into the chromosome of K. phaffii using CRISPR/Cas9 technology. The approach was based on the hierarchical, modular, Golden Gate assembly employing the GoldenPiCS toolkit. Furthermore, the aim was to evaluate the system's efficiency and suitability for producing secreted recombinant food proteins.

RESULTS

Three Cas9/sgRNA plasmids were constructed, along with corresponding donor helper plasmids containing homology regions for chromosomal integration via homology-directed repair. The integration efficiency of an enhanced green fluorescent protein (eGFP) expression cassette was assessed at three genomic loci (04576, PFK1, and ROX1). The 04576 locus showed the highest integration efficiency, while ROX1 had the highest transformation efficiency. Whole genome sequencing revealed variable copy numbers of eGFP expression cassettes among clones, corresponding with increasing levels of fluorescence. Furthermore, the system's applicability for producing recombinant food proteins was validated by successfully expressing and secreting chicken ovalbumin. This constitutes the first report of CRISPR/Cas9 applied to produce recombinant chicken ovalbumin.

CONCLUSIONS

The adapted GoldenPiCS toolkit combined with CRISPR/Cas9 technology enabled efficient and precise genome integration in K. phaffii. This approach holds promise for expanding the production of high-value recombinant proteins. Future research should focus on optimizing integration sites and improving cloning procedures to enhance the system's efficiency and versatility.

Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cells: A comparative study of machine learning and systems biology approaches

The production of monoclonal antibodies (mAbs) using Chinese Hamster Ovary (CHO) cells has revolutionized the treatment of numerous diseases, solidifying their position as a cornerstone of the biopharmaceutical industry. However, achieving maximum mAb production while upholding strict product quality standards remains a significant hurdle. Optimizing cell culture media emerges as a critical factor in this endeavor, requiring a nuanced understanding of the complex interplay of nutrients, growth factors, and other components that profoundly influence cellular growth, productivity, and product quality. Significant strides have been made in media optimization, including techniques such as media blending, one factor at a time, and statistical design of experiments approaches. The present review provides a comprehensive analysis of the recent advancements in culture media design strategies, focusing on the comparative application of systems biology (SB) and machine learning (ML) approaches. The applications of SB and ML in optimizing CHO cell culture medium and successful examples of their use are summarized. Finally, we highlight the immense potential of integrating SB and ML, emphasizing the development of hybrid models that leverage the strengths of both approaches for robust, efficient, and scalable optimization of mAb production in CHO cells. This review provides a roadmap for researchers and industry professionals to navigate the complex landscape of mAb production optimization, paving the way for developing next-generation CHO cell culture media that drive significant improvements in yield and productivity.

Debaryomyces hansenii: an old acquaintance for a fresh start in the era of the green biotechnology

The halophilic yeast Debaryomyces hansenii has been studied for several decades, serving as eukaryotic model for understanding salt and osmotic tolerance. Nevertheless, lack of consensus among different studies is found and, sometimes, contradictory information derived from studies performed in very diverse conditions. These two factors hampered its establishment as the key biotechnological player that was called to be in the past decade. On top of that, very limited (often deficient) engineering tools are available for this yeast. Fortunately Debaryomyces is again gaining momentum and recent advances using highly instrumented lab scale bioreactors, together with advanced –omics and HT-robotics, have revealed a new set of interesting results. Those forecast a very promising future for D. hansenii in the era of the so-called green biotechnology. Moreover, novel genetic tools enabling precise gene editing on this yeast are now available. In this review, we highlight the most recent developments, which include the identification of a novel gene implicated in salt tolerance, a newly proposed survival mechanism for D. hansenii at very high salt and limiting nutrient concentrations, and its utilization as production host in biotechnological processes.