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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 (#36 of 161)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
patent
21 patents

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
97 Mendeley
citeulike
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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 3 3%
Netherlands 1 1%
Italy 1 1%
Spain 1 1%
United States 1 1%
Unknown 90 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 27%
Researcher 16 16%
Student > Bachelor 13 13%
Student > Master 11 11%
Student > Doctoral Student 6 6%
Other 11 11%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 37%
Biochemistry, Genetics and Molecular Biology 22 23%
Medicine and Dentistry 9 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Immunology and Microbiology 2 2%
Other 9 9%
Unknown 14 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 February 2022.
All research outputs
#1,990,900
of 21,017,702 outputs
Outputs from BioResearch Open Access
#36
of 161 outputs
Outputs of similar age
#16,718
of 172,957 outputs
Outputs of similar age from BioResearch Open Access
#1
of 10 outputs
Altmetric has tracked 21,017,702 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 161 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. 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 172,957 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 90% of its contemporaries.
We're also able to compare this research output to 10 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