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Allele-specific genome editing and correction of disease-associated phenotypes in rats using the CRISPR–Cas platform

Overview of attention for article published in Nature Communications, June 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
15 X users
patent
10 patents

Citations

dimensions_citation
167 Dimensions

Readers on

mendeley
362 Mendeley
citeulike
1 CiteULike
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Title
Allele-specific genome editing and correction of disease-associated phenotypes in rats using the CRISPR–Cas platform
Published in
Nature Communications, June 2014
DOI 10.1038/ncomms5240
Pubmed ID
Authors

K. Yoshimi, T. Kaneko, B. Voigt, T. Mashimo

Abstract

The bacterial CRISPR/Cas system has proven to be an efficient gene-targeting tool in various organisms. Here we employ CRISPR/Cas for accurate and efficient genome editing in rats. The synthetic chimeric guide RNAs (gRNAs) discriminate a single-nucleotide polymorphism (SNP) difference in rat embryonic fibroblasts, allowing allele-specific genome editing of the dominant phenotype in (F344 × DA)F1 hybrid embryos. Interestingly, the targeted allele, initially assessed by the allele-specific gRNA, is repaired by an interallelic gene conversion between homologous chromosomes. Using single-stranded oligodeoxynucleotides, we recover three recessive phenotypes: the albino phenotype by SNP exchange; the non-agouti phenotype by integration of a 19-bp DNA fragment; and the hooded phenotype by eliminating a 7,098-bp insertional DNA fragment, evolutionary-derived from an endogenous retrovirus. Successful in vivo application of the CRISPR/Cas system confirms its importance as a genetic engineering tool for creating animal models of human diseases and its potential use in gene therapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 362 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Japan 3 <1%
Spain 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Australia 1 <1%
India 1 <1%
Germany 1 <1%
Unknown 345 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 23%
Researcher 74 20%
Student > Master 38 10%
Student > Bachelor 37 10%
Other 17 5%
Other 61 17%
Unknown 53 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 168 46%
Biochemistry, Genetics and Molecular Biology 80 22%
Medicine and Dentistry 25 7%
Engineering 8 2%
Neuroscience 7 2%
Other 24 7%
Unknown 50 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 17 July 2024.
All research outputs
#1,130,571
of 26,473,472 outputs
Outputs from Nature Communications
#18,108
of 61,711 outputs
Outputs of similar age
#10,463
of 243,482 outputs
Outputs of similar age from Nature Communications
#189
of 696 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 61,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.1. This one has gotten more attention than average, scoring higher than 70% 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 243,482 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 95% of its contemporaries.
We're also able to compare this research output to 696 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 72% of its contemporaries.