Global containment of COVID-19 still requires accessible and affordable vaccines for low- and middle-income countries (LMICs). Recently approved vaccines provide needed interventions, albeit at prices that may limit their global access. Subunit vaccines based on recombinant proteins are suited for large-volume microbial manufacturing to yield billions of doses annually, minimizing their manufacturing cost. These types of vaccines are well-established, proven interventions with multiple safe and efficacious commercial examples. Many vaccine candidates of this type for SARS-CoV-2 rely on sequences containing the receptor-binding domain (RBD), which mediates viral entry to cells via ACE2. Here we report an engineered sequence variant of RBD that exhibits high-yield manufacturability, high-affinity binding to ACE2, and enhanced immunogenicity after a single dose in mice compared to the Wuhan-Hu-1 variant used in current vaccines. Antibodies raised against the engineered protein exhibited heterotypic binding to the RBD from two recently reported SARS-CoV-2 variants of concern (501Y.V1/V2). Presentation of the engineered RBD on a designed virus-like particle (VLP) also reduced weight loss in hamsters upon viral challenge.
Conventional manufacturing of protein biopharmaceuticals in centralized, large-scale single-product facilities is not well-suited to the agile production of drugs for small patient populations or individuals. Solutions for small-scale manufacturing are potentially more nimble, though previous systems are limited in both process reproducibility and product quality, owing to complicated means of protein expression and purification 1 – 4 . We describe an automated bench-top multi-product manufacturing system, called Integrated Scalable Cyto-Technology (InSCyT), for the end-to-end production of hundreds to thousands of doses of clinical-quality protein biologics in about three days. We also demonstrate that InSCyT can accelerate process development from sequence to purified drug in 12 weeks. We produced hGH, IFNα-2b, and G-CSF using highly similar processes on InSCyT and found that the purity and potency of these products is comparable to that of marketedreference products.
In this study, we describe a new approach for the characterization of process-related impurities along with an in silico tool to generate orthogonal, integrated downstream purification processes for biological products. A one-time characterization of process-related impurities from product expression in Pichia pastoris was first carried out using linear salt and pH gradients on a library of multimodal, salt-tolerant, and hydrophobic charge induction chromatographic resins. The Reversed-phase ultra-performance liquid chromatography (UPLC) analysis of the fractions from these gradients was then used to generate large data sets of impurity profiles. A retention database of the biological product was also generated using the same linear salt and pH gradients on these resins, without fraction collection. The resulting two data sets were then analyzed using an in silico tool, which incorporated integrated manufacturing constraints to generate and rank potential three-step purification sequences based on their predicted purification performance as well as whole-process "orthogonality" for impurity removal. Highly ranked sequences were further examined to identify templates for process development. The efficacy of this approach was successfully demonstrated for the rapid development of robust integrated processes for human growth hormone and granulocyte-colony stimulating factor.
DNA ligases catalyze the repair of phosphate backbone breaks in DNA, acting with highest activity on breaks in one strand of duplex DNA. Some DNA ligases have also been observed to ligate two DNA fragments with short complementary overhangs or blunt-ended termini. In this study, several wild-type DNA ligases (phage T3, T4, and T7 DNA ligases, Paramecium bursaria chlorella virus 1 (PBCV1) DNA ligase, human DNA ligase 3, and Escherichia coli DNA ligase) were tested for their ability to ligate DNA fragments with several difficult to ligate end structures (blunt-ended termini, 3′- and 5′- single base overhangs, and 5′-two base overhangs). This analysis revealed that T4 DNA ligase, the most common enzyme utilized for in vitro ligation, had its greatest activity on blunt- and 2-base overhangs, and poorest on 5′-single base overhangs. Other ligases had different substrate specificity: T3 DNA ligase ligated only blunt ends well; PBCV1 DNA ligase joined 3′-single base overhangs and 2-base overhangs effectively with little blunt or 5′- single base overhang activity; and human ligase 3 had highest activity on blunt ends and 5′-single base overhangs. There is no correlation of activity among ligases on blunt DNA ends with their activity on single base overhangs. In addition, DNA binding domains (Sso7d, hLig3 zinc finger, and T4 DNA ligase N-terminal domain) were fused to PBCV1 DNA ligase to explore whether modified binding to DNA would lead to greater activity on these difficult to ligate substrates. These engineered ligases showed both an increased binding affinity for DNA and increased activity, but did not alter the relative substrate preferences of PBCV1 DNA ligase, indicating active site structure plays a role in determining substrate preference.
Integrated designs of chromatographic processes for purification of biopharmaceuticals provides potential gains in operational efficiency and reductions of costs and material requirements. We describe a combined method using screening and in silico algorithms for ranking chromatographic steps to rapidly design orthogonally selective integrated processes for purifying protein therapeutics from both process-and product-related impurities. IFN-α2b produced in Pichia pastoris containing a significant product variant challenge was used as a case study. The product and product-related variants were screened on a set of 14 multimodal, ion exchange, and hydrophobic charge induction chromatography resins under various pH and salt linear gradient conditions. Data generated from reversed-phase chromatography of the fractions collected were used to generate a retention database for IFN-α2b and its variants. These data, in combination with a previously constructed process-related impurity database for P. pastoris, were input into an in silico process development tool that generated and ranked all possible integrated chromatographic sequences for their ability to remove both process and product-related impurities. Top-ranking outputs guided the experimental refinement of two successful three step purification processes, one comprising all bind-elute steps and the other having two bind-elute steps and a flowthrough operation. This approach suggests a new platform-like approach for rapidly designing purification processes for a range of proteins where separations of both process-and product-related impurities are needed. K E Y W O R D Shigh throughput process development, integrated downstream processing, mixed mode chromatography, process development tool, protein chromatography, straight-through processing
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