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Strain engineering for improved expression of recombinant proteins in bacteria

Overview of attention for article published in Microbial Cell Factories, May 2011
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 X user
patent
10 patents

Citations

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160 Dimensions

Readers on

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520 Mendeley
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1 CiteULike
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Title
Strain engineering for improved expression of recombinant proteins in bacteria
Published in
Microbial Cell Factories, May 2011
DOI 10.1186/1475-2859-10-32
Pubmed ID
Authors

Tomohiro Makino, Georgios Skretas, George Georgiou

Abstract

Protein expression in Escherichia coli represents the most facile approach for the preparation of non-glycosylated proteins for analytical and preparative purposes. So far, the optimization of recombinant expression has largely remained a matter of trial and error and has relied upon varying parameters, such as expression vector, media composition, growth temperature and chaperone co-expression. Recently several new approaches for the genome-scale engineering of E. coli to enhance recombinant protein expression have been developed. These methodologies now enable the generation of optimized E. coli expression strains in a manner analogous to metabolic engineering for the synthesis of low-molecular-weight compounds. In this review, we provide an overview of strain engineering approaches useful for enhancing the expression of hard-to-produce proteins, including heterologous membrane proteins.

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 520 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 3 <1%
Canada 2 <1%
Mexico 2 <1%
Germany 2 <1%
India 1 <1%
South Africa 1 <1%
Netherlands 1 <1%
Uruguay 1 <1%
Other 3 <1%
Unknown 501 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 123 24%
Researcher 95 18%
Student > Master 64 12%
Student > Bachelor 56 11%
Other 21 4%
Other 68 13%
Unknown 93 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 213 41%
Biochemistry, Genetics and Molecular Biology 126 24%
Engineering 25 5%
Chemistry 16 3%
Chemical Engineering 9 2%
Other 33 6%
Unknown 98 19%
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 08 November 2023.
All research outputs
#2,981,100
of 23,056,273 outputs
Outputs from Microbial Cell Factories
#116
of 1,616 outputs
Outputs of similar age
#14,306
of 110,889 outputs
Outputs of similar age from Microbial Cell Factories
#1
of 6 outputs
Altmetric has tracked 23,056,273 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 1,616 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 92% 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 110,889 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 86% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them