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Enhancing antibody folding and secretion by tailoring the Saccharomyces cerevisiae endoplasmic reticulum

Overview of attention for article published in Microbial Cell Factories, May 2016
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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3 X users
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2 patents

Citations

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65 Dimensions

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147 Mendeley
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Title
Enhancing antibody folding and secretion by tailoring the Saccharomyces cerevisiae endoplasmic reticulum
Published in
Microbial Cell Factories, May 2016
DOI 10.1186/s12934-016-0488-5
Pubmed ID
Authors

Jorg C. de Ruijter, Essi V. Koskela, Alexander D. Frey

Abstract

The yeast Saccharomyces cerevisiae provides intriguing possibilities for synthetic biology and bioprocess applications, but its use is still constrained by cellular characteristics that limit the product yields. Considering the production of advanced biopharmaceuticals, a major hindrance lies in the yeast endoplasmic reticulum (ER), as it is not equipped for efficient and large scale folding of complex proteins, such as human antibodies. Following the example of professional secretory cells, we show that inducing an ER expansion in yeast by deleting the lipid-regulator gene OPI1 can improve the secretion capacity of full-length antibodies up to fourfold. Based on wild-type and ER-enlarged yeast strains, we conducted a screening of a folding factor overexpression library to identify proteins and their expression levels that enhance the secretion of antibodies. Out of six genes tested, addition of the peptidyl-prolyl isomerase CPR5 provided the most beneficial effect on specific product yield while PDI1, ERO1, KAR2, LHS1 and SIL1 had a mild or even negative effect to antibody secretion efficiency. Combining genes for ER enhancement did not induce any significant additional effect compared to addition of just one element. By combining the Δopi1 strain, with the enlarged ER, with CPR5 overexpression, we were able to boost the specific antibody product yield by a factor of 10 relative to the non-engineered strain. Engineering protein folding in vivo is a major task for biopharmaceuticals production in yeast and needs to be optimized at several levels. By rational strain design and high-throughput screening applications we were able to increase the specific secreted antibody yields of S. cerevisiae up to 10-fold, providing a promising strain for further process optimization and platform development for antibody production.

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X Demographics

The data shown below were collected from the profiles of 3 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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
China 1 <1%
Austria 1 <1%
Unknown 144 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 23%
Researcher 23 16%
Student > Master 17 12%
Student > Bachelor 17 12%
Student > Doctoral Student 7 5%
Other 17 12%
Unknown 32 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 32%
Agricultural and Biological Sciences 41 28%
Engineering 6 4%
Chemistry 4 3%
Immunology and Microbiology 3 2%
Other 11 7%
Unknown 35 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 November 2021.
All research outputs
#3,650,227
of 22,873,031 outputs
Outputs from Microbial Cell Factories
#173
of 1,604 outputs
Outputs of similar age
#62,842
of 333,421 outputs
Outputs of similar age from Microbial Cell Factories
#4
of 44 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,604 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 89% 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 333,421 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 81% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.