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Correction of the ΔF508 Mutation in the Cystic Fibrosis Transmembrane Conductance Regulator Gene by Zinc-Finger Nuclease Homology-Directed Repair

Overview of attention for article published in BioResearch Open Access, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 168)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
33 patents

Citations

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75 Dimensions

Readers on

mendeley
113 Mendeley
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1 CiteULike
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Title
Correction of the ΔF508 Mutation in the Cystic Fibrosis Transmembrane Conductance Regulator Gene by Zinc-Finger Nuclease Homology-Directed Repair
Published in
BioResearch Open Access, June 2012
DOI 10.1089/biores.2012.0218
Pubmed ID
Authors

Ciaran M. Lee, Rowan Flynn, Jennifer A. Hollywood, Martina F. Scallan, Patrick T. Harrison

Abstract

The use of zinc-finger nucleases (ZFNs) to permanently and precisely modify the human genome offers a potential alternative to cDNA-based gene therapy. The ΔF508 mutation in the cystic fibrosis transmembrane conductance regulator (CFTR) gene is observed in ∼70% of patients with cystic fibrosis (CF) and is a candidate for ZFN-mediated repair. Here, we report the modular design and synthesis of a pair of ZFNs that can create a double-stranded break (DSB) 203 bp upstream of the ΔF508 lesion, resulting in a nonhomologous end-joining (NHEJ) frequency of 7.8%. In spite of this relatively long distance between the DSB and the ΔF508 mutation, homology-directed repair (HDR) could be detected when using a DNA donor containing part of the wild-type (WT) CFTR. The ZFN target half-sites in CFTR are separated by a 4-bp spacer, but efficient cleavage of synthetic targets with either a 4- or 6-bp spacer was observed in vitro. These ZFNs may be suitable for a genome-editing strategy using a partial cDNA sequence-containing exons 10-24 of CFTR to restore CFTR function to cells containing not only the ΔF508 mutation but also potentially any mutation in or downstream of exon 10.

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

Geographical breakdown

Country Count As %
Ireland 3 3%
Spain 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Unknown 107 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Researcher 16 14%
Student > Bachelor 13 12%
Student > Master 11 10%
Student > Doctoral Student 7 6%
Other 11 10%
Unknown 27 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 33%
Biochemistry, Genetics and Molecular Biology 24 21%
Medicine and Dentistry 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Immunology and Microbiology 2 2%
Other 10 9%
Unknown 26 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 23 May 2023.
All research outputs
#2,146,967
of 25,371,288 outputs
Outputs from BioResearch Open Access
#37
of 168 outputs
Outputs of similar age
#12,999
of 179,218 outputs
Outputs of similar age from BioResearch Open Access
#1
of 2 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 77% 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 179,218 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 92% of its contemporaries.
We're also able to compare this research output to 2 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