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Enhanced integration of large DNA into E. coli chromosome by CRISPR/Cas9

Overview of attention for article published in Biotechnology & Bioengineering, August 2016
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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)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 X user
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4 patents
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1 Facebook page

Readers on

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246 Mendeley
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Article details
Title
Enhanced integration of large DNA into E. coli chromosome by CRISPR/Cas9
Published in
Biotechnology & Bioengineering, August 2016
DOI 10.1002/bit.26056
Pubmed ID
Authors
Abstract

Metabolic engineering often necessitates chromosomal integration of multiple genes but integration of large genes into E. coli remains difficult. CRISPR/Cas9 is an RNA-guided system which enables site-specific induction of double strand break (DSB) and programmable genome editing. Here we hypothesized that CRISPR/Cas9-triggered DSB could enhance homologous recombination and augment integration of large DNA into E. coli chromosome. We demonstrated that CRISPR/Cas9 system was able to trigger DSB in >98% of cells, leading to subsequent cell death, and identified that mutagenic SOS response played roles in the cell survival. By optimizing experimental conditions and combining the λ-Red proteins and linear dsDNA, CRISPR/Cas9-induced DSB enabled homologous recombination of the donor DNA and replacement of lacZ gene in the MG1655 strain at efficiencies up to 99%, and allowed high fidelity, scarless integration of 2.4, 3.9, 5.4 and 7.0 kb DNA at efficiencies approaching 91%, 92%, 71% and 61%, respectively. The CRISPR/Cas9-assisted gene integration also functioned in different E. coli strains including BL21 (DE3) and W albeit at different efficiencies. Taken together, our methodology facilitated precise integration of dsDNA as large as 7 kb into E. coli with efficiencies exceeding 60%, thus significantly ameliorating the editing efficiency and overcoming the size limit of integration using the commonly adopted recombineering approach. This article is protected by copyright. All rights reserved.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
Japan 1 <1%
China 1 <1%
Unknown 242 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 47 19%
Researcher 44 18%
Student > Master 37 15%
Student > Bachelor 27 11%
Student > Doctoral Student 11 4%
Other 25 10%
Unknown 55 22%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 90 37%
Agricultural and Biological Sciences 60 24%
Chemical Engineering 8 3%
Engineering 7 3%
Chemistry 3 1%
Other 14 6%
Unknown 64 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 01 September 2026.
All research outputs
#4,567,404
of 34,517,649 outputs
Outputs from Biotechnology & Bioengineering
#1,067
of 8,234 outputs
Outputs of similar age
#53,654
of 335,660 outputs
Outputs of similar age from Biotechnology & Bioengineering
#16
of 48 outputs
Altmetric has tracked 34,517,649 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 8,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 86% 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 335,660 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 48 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 66% of its contemporaries.