2013
DOI: 10.1016/j.biotechadv.2013.07.007
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CHO microRNA engineering is growing up: Recent successes and future challenges

Abstract: microRNAs with their ability to regulate complex pathways that control cellular behavior and phenotype have been proposed as potential targets for cell engineering in the context of optimization of biopharmaceutical production cell lines, specifically of Chinese Hamster Ovary cells. However, until recently, research was limited by a lack of genomic sequence information on this industrially important cell line. With the publication of the genomic sequence and other relevant data sets for CHO cells since 2011, t… Show more

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Cited by 78 publications
(68 citation statements)
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References 208 publications
(159 reference statements)
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“…In addition, Bcl-2-like protein 10 (Bcl2l10), a signaling molecule involved in apoptosis, and stress-associated endoplasmic reticulum protein 1 (Serp1) are both in PICR but not IPCR. MicroRNAs targeting these two proteins in CHO cells have been developed [Jadhav et al, 2013]. …”
Section: Resultsmentioning
confidence: 99%
“…In addition, Bcl-2-like protein 10 (Bcl2l10), a signaling molecule involved in apoptosis, and stress-associated endoplasmic reticulum protein 1 (Serp1) are both in PICR but not IPCR. MicroRNAs targeting these two proteins in CHO cells have been developed [Jadhav et al, 2013]. …”
Section: Resultsmentioning
confidence: 99%
“…By virtue of its simple, fast, and highly efficient multigene knockout capability, this platform can offer distinct advantages over current targeted methods as well as traditional methods for CHO cell line engineering including overexpression or introduction of new genes, RNA interference-mediated knockdown or regulation of gene expression [20,21]. knockout CHO cell line generation using ZFNs [12], the present platform is fast and efficient in regard to the one-step generation of multiple gene knockout CHO cell lines.…”
Section: Accepted Articlementioning
confidence: 99%
“…In fact, Clarke et al 2011 found a set of 287 genes for the prediction of cellular productivity in the model they established. However, as this study was based on an early microarray chip that contained only ~3500 expressed CHO genes out of the estimated 15 000 transcripts present in a cell at any time [9], it is likely that many more mRNAs and other factors like non-coding RNAs (ncRNAs) play a role in determining productivity [10].…”
Section: Introductionmentioning
confidence: 99%