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EasyClone 2.0: expanded toolkit of integrative vectors for stable gene expression in industrial Saccharomyces cerevisiae strains

Overview of attention for article published in Journal of Industrial Microbiology & Biotechnology, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 X user
patent
5 patents

Citations

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53 Dimensions

Readers on

mendeley
235 Mendeley
Title
EasyClone 2.0: expanded toolkit of integrative vectors for stable gene expression in industrial Saccharomyces cerevisiae strains
Published in
Journal of Industrial Microbiology & Biotechnology, November 2015
DOI 10.1007/s10295-015-1684-8
Pubmed ID
Authors

Vratislav Stovicek, Gheorghe M Borja, Jochen Forster, Irina Borodina

Abstract

Saccharomyces cerevisiae is one of the key cell factories for production of chemicals and active pharmaceuticals. For large-scale fermentations, particularly in biorefinery applications, it is desirable to use stress-tolerant industrial strains. However, such strains are less amenable for metabolic engineering than the standard laboratory strains. To enable easy delivery and overexpression of genes in a wide range of industrial S. cerevisiae strains, we constructed a set of integrative vectors with long homology arms and dominant selection markers. The vectors integrate into previously validated chromosomal locations via double cross-over and result in homogenous stable expression of the integrated genes, as shown for several unrelated industrial strains. Cre-mediated marker rescue is possible for removing markers positioned on different chromosomes. To demonstrate the applicability of the presented vector set for metabolic engineering of industrial yeast, we constructed xylose-utilizing strains overexpressing xylose isomerase, xylose transporter and five genes of the pentose phosphate pathway.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 232 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 17%
Researcher 40 17%
Student > Master 34 14%
Student > Bachelor 24 10%
Student > Doctoral Student 10 4%
Other 31 13%
Unknown 55 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 79 34%
Agricultural and Biological Sciences 69 29%
Chemistry 3 1%
Engineering 3 1%
Unspecified 3 1%
Other 16 7%
Unknown 62 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 27 June 2023.
All research outputs
#3,414,665
of 25,371,288 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#100
of 1,612 outputs
Outputs of similar age
#46,070
of 294,808 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#2
of 16 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 93% 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 294,808 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 83% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.