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1.
Microb Cell Fact ; 20(1): 94, 2021 May 01.
Article in English | MEDLINE | ID: mdl-33933073

ABSTRACT

BACKGROUND: Vaccines comprising recombinant subunit proteins are well-suited to low-cost and high-volume production for global use. The design of manufacturing processes to produce subunit vaccines depends, however, on the inherent biophysical traits presented by an individual antigen of interest. New candidate antigens typically require developing custom processes for each one and may require unique steps to ensure sufficient yields without product-related variants. RESULTS: We describe a holistic approach for the molecular design of recombinant protein antigens-considering both their manufacturability and antigenicity-informed by bioinformatic analyses such as RNA-seq, ribosome profiling, and sequence-based prediction tools. We demonstrate this approach by engineering the product sequences of a trivalent non-replicating rotavirus vaccine (NRRV) candidate to improve titers and mitigate product variants caused by N-terminal truncation, hypermannosylation, and aggregation. The three engineered NRRV antigens retained their original antigenicity and immunogenicity, while their improved manufacturability enabled concomitant production and purification of all three serotypes in a single, end-to-end perfusion-based process using the biotechnical yeast Komagataella phaffii. CONCLUSIONS: This study demonstrates that molecular engineering of subunit antigens using advanced genomic methods can facilitate their manufacturing in continuous production. Such capabilities have potential to lower the cost and volumetric requirements in manufacturing vaccines based on recombinant protein subunits.


Subject(s)
Antigens, Viral/genetics , Genetic Engineering/methods , Rotavirus Vaccines/genetics , Rotavirus/immunology , Saccharomycetales/genetics , Antigens, Viral/immunology , Computational Biology , Genomics/methods , Recombinant Fusion Proteins/genetics , Recombinant Fusion Proteins/immunology , Rotavirus/genetics , Rotavirus Vaccines/immunology , Vaccines, Subunit/genetics , Vaccines, Subunit/immunology
2.
Biotechnol Bioeng ; 117(2): 543-555, 2020 02.
Article in English | MEDLINE | ID: mdl-31654411

ABSTRACT

Komagataella phaffii, also known as Pichia pastoris, is a common host for the production of biologics and enzymes, due to fast growth, high productivity, and advancements in host engineering. Several K. phaffii variants are commonly used as interchangeable base strains, which confounds efforts to improve this host. In this study, genomic and transcriptomic analyses of Y-11430 (CBS7435), GS115, X-33, and eight other variants enabled a comparative assessment of the relative fitness of these hosts for recombinant protein expression. Cell wall integrity explained the majority of the variation among strains, impacting transformation efficiency, growth, methanol metabolism, and secretion of heterologous proteins. Y-11430 exhibited the highest activity of genes involved in methanol utilization, up to two-fold higher transcription of heterologous genes, and robust growth. With a more permeable cell wall, X-33 displayed a six-fold higher transformation efficiency and up to 1.2-fold higher titers than Y-11430. X-33 also shared nearly all mutations, and a defective variant of HIS4, with GS115, precluding robust growth. Transferring two beneficial mutations identified in X-33 into Y-11430 resulted in an optimized base strain that provided up to four-fold higher transformation efficiency and three-fold higher protein titers, while retaining robust growth. The approach employed here to assess unique banked variants in a species and then transfer key beneficial variants into a base strain should also facilitate rational assessment of a broad set of other recombinant hosts.


Subject(s)
Fungal Proteins/genetics , Genome, Fungal/genetics , Pichia/genetics , Recombinant Proteins/genetics , Transcriptome/genetics , Fungal Proteins/metabolism , Gene Expression Profiling , Genomics , Pichia/metabolism , RNA, Fungal/analysis , RNA, Fungal/genetics , Recombinant Proteins/metabolism , Saccharomycetales/genetics , Saccharomycetales/metabolism , Sequence Analysis, RNA
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