Title of article
Stable microRNA expression enhances therapeutic antibody productivity of Chinese hamster ovary cells
Author/Authors
Strotbek، نويسنده , , Michaela and Florin، نويسنده , , Lore and Koenitzer، نويسنده , , Jennifer and Tolstrup، نويسنده , , Anne and Kaufmann، نويسنده , , Hitto and Hausser، نويسنده , , Angelika and Olayioye، نويسنده , , Monilola A.، نويسنده ,
Issue Information
دوماهنامه با شماره پیاپی سال 2013
Pages
10
From page
157
To page
166
Abstract
MicroRNAs (miRNAs) are short non-coding RNAs that post-transcriptionally regulate the expression of different target genes and, thus, enable engineered gene networks to achieve complex phenotypic changes in mammalian cells. We hypothesized that exploiting this feature of miRNAs could improve therapeutic protein production processes by increasing viable cell densities and/or productivity of the mammalian cells used for manufacturing. To identify miRNAs that increase the productivity of producer cells, we performed a genome wide functional miRNA screen by transient transfection of Chinese hamster ovary (CHO) cells stably expressing an IgG1 antibody (CHO-IgG1). Using this approach, we identified nine human miRNAs that improved the productivities not only of the CHO-IgG1 cells but also of CHO cells expressing recombinant human serum albumin (HSA), demonstrating that the miRNAs act in a product-independent manner. We selected two miRNAs (miR-557 and miR-1287) positively impacting the viable cell density and the specific productivity, respectively, and then stably co-expressed them in IgG1 expressing CHO cells. In these cells, higher IgG1 titers were observed in fed-batch cultures whilst product quality was conserved, demonstrating that miRNA-based cell line engineering provides an attractive approach toward the genetic optimization of CHO producer cells for industrial applications.
Keywords
Functional genomic screen , Recombinant therapeutic protein production , miRNA library , Cell line engineering , Fed-batch culture
Journal title
Metabolic Engineering
Serial Year
2013
Journal title
Metabolic Engineering
Record number
1429658
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