Engineering of the cellular translational machinery and non-coding RNAs to enhance CHO cell growth, recombinant product yields and quality
Current Opinion in Chemical Engineering, ISSN: 2211-3398, Vol: 22, Page: 199-208
2018
- 4Citations
- 36Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Review Description
Chinese hamster ovary cells are the main mammalian cell expression system currently used for the production of recombinant protein biopharmaceuticals. One of the key processes determining the achievable biomass of cells in the bioreactor and the yield and quality of recombinant protein from such systems is mRNA translation. Translation is the process by which ribosomes and associated cellular machinery decode an mRNA to produce a polypeptide. In recent years the roles of different classes of non-coding RNAs in controlling global and transcript specific mRNA translation has also come to light. Here we review approaches to engineer the translational machinery and non-coding RNAs, particularly long non-coding RNAs and tRNAs in CHO cells and then outline the challenges and potential of such approaches to revolutionize the yields and quality of recombinant protein from CHO and other mammalian cell expression systems.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2211339818300339; http://dx.doi.org/10.1016/j.coche.2018.11.002; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85057116091&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2211339818300339; https://dx.doi.org/10.1016/j.coche.2018.11.002
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know