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• W4376131437 abstract "The demand for industrial genetically modified host cells were increased with the growth of the biopharmaceutical market. Numerous studies on improving host cell productivity have shown that altering host cell growth and viability through genetic engineering can increase recombinant protein production. During the last decades, it was demonstrated that overexpression or downregulation of some microRNAs in Chinese Hamster Ovary (CHO) cells as the host cell in biopharmaceutical manufacturing, can improve their productivity. The selection of microRNA targets has been based on their previously identified role in human cancers. MicroRNA-32 (miR-32), which is conserved between humans and hamsters (Crisetulus griseus), was shown to play a role in the regulation of cell proliferation and apoptosis in some human cancers. In this study, we investigated the effect of miR-32 overexpression on the productivity of CHO-VEGF-trap cells. Our results indicated that stable overexpression of miR-32 could dramatically increase the productivity of CHO cells by 1.8-fold. It also significantly increases cell viability, batch culture longevity, and cell growth. To achieve these results, following the construction of a single clone producing an Fc-fusion protein, we transfected cells with a pLexJRed-miR-32 plasmid to stably produce the microRNA and evaluate the impact of mir-32 overexpression on cell productivity, growth and viability in compare with scrambled control. Our findings highlight the application of miRNAs as engineering tools and indicated that miR-32 could be a target for engineering CHO cells to increase cell productivity." @default.
• W4376131437 created "2023-05-12" @default.
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• W4376131437 date "2023-05-09" @default.
• W4376131437 modified "2023-10-08" @default.
• W4376131437 title "Overexpression of miR-32 in Chinese hamster ovary cells increases production of Fc-fusion protein" @default.
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• W4376131437 doi "https://doi.org/10.1186/s13568-023-01540-z" @default.
• W4376131437 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37160545" @default.
• W4376131437 hasPublicationYear "2023" @default.
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