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Integration event induced changes in recombinant protein productivity in Pichia pastoris discovered by whole genome sequencing and derived vector optimization

Overview of attention for article published in Microbial Cell Factories, May 2016
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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2 X users
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3 patents

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Title
Integration event induced changes in recombinant protein productivity in Pichia pastoris discovered by whole genome sequencing and derived vector optimization
Published in
Microbial Cell Factories, May 2016
DOI 10.1186/s12934-016-0486-7
Pubmed ID
Authors

Jan-Philipp Schwarzhans, Daniel Wibberg, Anika Winkler, Tobias Luttermann, Jörn Kalinowski, Karl Friehs

Abstract

The classic AOX1 replacement approach is still one of the most often used techniques for expression of recombinant proteins in the methylotrophic yeast Pichia pastoris. Although this approach is largely successful, it frequently delivers clones with unpredicted production characteristics and a work-intense screening process is required to find the strain with desired productivity. In this project 845 P. pastoris clones, transformed with a GFP expression cassette, were analyzed for their methanol-utilization (Mut)-phenotypes, GFP gene expression levels and gene copy numbers. Several groups of strains with irregular features were identified. Such features include GFP expression that is markedly higher or lower than expected based on gene copy number as well as strains that grew under selective conditions but where the GFP gene cassette and its expression could not be detected. From these classes of strains 31 characteristic clones were selected and their genomes sequenced. By correlating the assembled genome data with the experimental phenotypes novel insights were obtained. These comprise a clear connection between productivity and cassette-to-cassette orientation in the genome, the occurrence of false-positive clones due to a secondary recombination event, and lower total productivity due to the presence of untransformed cells within the isolates were discovered. To cope with some of these problems, the original vector was optimized by replacing the AOX1 terminator, preventing the occurrence of false-positive clones due to the secondary recombination event. Standard methods for transformation of P. pastoris led to a multitude of unintended and sometimes detrimental integration events, lowering total productivity. By documenting the connections between productivity and integration event we obtained a deeper understanding of the genetics of mutation in P. pastoris. These findings and the derived improved mutagenesis and transformation procedures and tools will help other scientists working on recombinant protein production in P. pastoris and similar non-conventional yeasts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
Mexico 1 <1%
Austria 1 <1%
Unknown 206 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 18%
Researcher 34 16%
Student > Bachelor 26 12%
Student > Master 25 12%
Student > Postgraduate 10 5%
Other 21 10%
Unknown 57 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 81 39%
Agricultural and Biological Sciences 44 21%
Engineering 6 3%
Chemical Engineering 5 2%
Immunology and Microbiology 4 2%
Other 9 4%
Unknown 61 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2020.
All research outputs
#6,976,330
of 22,873,031 outputs
Outputs from Microbial Cell Factories
#473
of 1,604 outputs
Outputs of similar age
#109,587
of 333,293 outputs
Outputs of similar age from Microbial Cell Factories
#15
of 44 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,604 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 69% 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 333,293 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% 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 gotten more attention than average, scoring higher than 63% of its contemporaries.