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Generation of a triple‐gene knockout mammalian cell line using engineered zinc‐finger nucleases

Overview of attention for article published in Biotechnology & Bioengineering, February 2010
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
patent
20 patents

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
175 Mendeley
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1 CiteULike
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Title
Generation of a triple‐gene knockout mammalian cell line using engineered zinc‐finger nucleases
Published in
Biotechnology & Bioengineering, February 2010
DOI 10.1002/bit.22654
Pubmed ID
Authors

Pei‐Qi Liu, Edmond M. Chan, Gregory J. Cost, Lin Zhang, Jianbin Wang, Jeffrey C. Miller, Dmitry Y. Guschin, Andreas Reik, Michael C. Holmes, John E. Mott, Trevor N. Collingwood, Philip D. Gregory

Abstract

Mammalian cells with multi-gene knockouts could be of considerable utility in research, drug discovery, and cell-based therapeutics. However, existing methods for targeted gene deletion require sequential rounds of homologous recombination and drug selection to isolate rare desired events--a process sufficiently laborious to limit application to individual loci. Here we present a solution to this problem. Firstly, we report the development of zinc-finger nucleases (ZFNs) targeted to cleave three independent genes with known null phenotypes. Mammalian cells exposed to each ZFN pair in turn resulted in the generation of cell lines harboring single, double, and triple gene knockouts, that is, the successful disruption of two, four, and six alleles. All three biallelic knockout events were obtained at frequencies of >1% without the use of selection, displayed the expected knockout phenotype(s), and harbored DNA mutations centered at the ZFN binding sites. These data demonstrate the utility of ZFNs in multi-locus genome engineering.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
China 2 1%
Ireland 1 <1%
Austria 1 <1%
India 1 <1%
Germany 1 <1%
Singapore 1 <1%
France 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 161 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 33%
Student > Ph. D. Student 33 19%
Student > Master 22 13%
Other 12 7%
Student > Bachelor 9 5%
Other 26 15%
Unknown 16 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 58%
Biochemistry, Genetics and Molecular Biology 30 17%
Medicine and Dentistry 6 3%
Engineering 6 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 9 5%
Unknown 18 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 December 2022.
All research outputs
#2,486,196
of 25,394,764 outputs
Outputs from Biotechnology & Bioengineering
#173
of 6,456 outputs
Outputs of similar age
#12,008
of 172,661 outputs
Outputs of similar age from Biotechnology & Bioengineering
#2
of 22 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,456 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 172,661 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.