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Codon Optimization in the Production of Recombinant Biotherapeutics: Potential Risks and Considerations

Overview of attention for article published in BioDrugs, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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13 X users
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7 patents
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1 research highlight platform

Citations

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71 Dimensions

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204 Mendeley
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Title
Codon Optimization in the Production of Recombinant Biotherapeutics: Potential Risks and Considerations
Published in
BioDrugs, February 2018
DOI 10.1007/s40259-018-0261-x
Pubmed ID
Authors

Vincent P. Mauro

Abstract

Biotherapeutics are increasingly becoming the mainstay in the treatment of a variety of human conditions, particularly in oncology and hematology. The production of therapeutic antibodies, cytokines, and fusion proteins have markedly accelerated these fields over the past decade and are probably the major contributor to improved patient outcomes. Today, most protein therapeutics are expressed as recombinant proteins in mammalian cell lines. An expression technology commonly used to increase protein levels involves codon optimization. This approach is possible because degeneracy of the genetic code enables most amino acids to be encoded by more than one synonymous codon and because codon usage can have a pronounced influence on levels of protein expression. Indeed, codon optimization has been reported to increase protein expression by >  1000-fold. The primary tactic of codon optimization is to increase the rate of translation elongation by overcoming limitations associated with species-specific differences in codon usage and transfer RNA (tRNA) abundance. However, in mammalian cells, assumptions underlying codon optimization appear to be poorly supported or unfounded. Moreover, because not all synonymous codon mutations are neutral, codon optimization can lead to alterations in protein conformation and function. This review discusses codon optimization for therapeutic protein production in mammalian cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 204 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 14%
Student > Ph. D. Student 27 13%
Student > Bachelor 27 13%
Researcher 21 10%
Student > Doctoral Student 9 4%
Other 16 8%
Unknown 75 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 64 31%
Agricultural and Biological Sciences 20 10%
Immunology and Microbiology 9 4%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Chemistry 7 3%
Other 21 10%
Unknown 75 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 February 2024.
All research outputs
#2,457,558
of 25,233,554 outputs
Outputs from BioDrugs
#61
of 724 outputs
Outputs of similar age
#55,222
of 452,323 outputs
Outputs of similar age from BioDrugs
#3
of 7 outputs
Altmetric has tracked 25,233,554 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 724 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 452,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.