Minhye Baek, Seokchan Kweon, Yujin Kim, Nathan E. Lewis, Jae Seong Lee and Gyun Min Lee*,
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引用次数: 0
Abstract
Chinese hamster ovary (CHO) cells are ubiquitously used for therapeutic protein production. However, fed-batch culture, typically used for large-scale production, often induces hyperosmotic stress, negatively impacting cell growth and productivity. To identify genes conferring resistance to hyperosmotic stress, we performed genome-wide CRISPRa screening in bispecific antibody (bsAb)-producing CHO (CHO-bsAb) cells. Using a virus-free recombinase-mediated cassette exchange (RMCE) system, we established a CRISPRa library and cultured cells in standard and hyperosmolar media. Next-generation sequencing identified 122 significantly enriched and 171 significantly depleted genes under hyperosmolar conditions, with functional enrichment analysis highlighting pathways related to cell proliferation and transcriptional regulation. Among the enriched genes, CRISPRa-based activation of 24 candidates demonstrated that 23 improved cell growth under hyperosmolar conditions. Notably, stable expression of Siah2 or C2cd4a significantly enhanced cell growth, and optimizing their expression levels increased bsAb production by up to 1.3-fold. Additional knockout of Zfr, previously identified in CRISPR knockout screening, further improved cell growth and bsAb production, demonstrating the synergistic benefits of integrating CRISPR knockout and CRISPRa approaches. Thus, CRISPRa screening is a powerful tool for identifying novel engineering targets, facilitating the development of stress-resistant CHO cell lines, and enhancing therapeutic protein production.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.