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Genetic characterization and improved genotyping of the dysferlin-deficient mouse strain Dysftm1Kcam

Overview of attention for article published in Skeletal Muscle, October 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
Genetic characterization and improved genotyping of the dysferlin-deficient mouse strain Dysftm1Kcam
Published in
Skeletal Muscle, October 2015
DOI 10.1186/s13395-015-0057-3
Pubmed ID
Authors

Tatiana Wiktorowicz, Jochen Kinter, Kazuhiro Kobuke, Kevin P. Campbell, Michael Sinnreich

Abstract

Mouse models of dysferlinopathies are valuable tools with which to investigate the pathomechanisms underlying these diseases and to test novel therapeutic strategies. One such mouse model is the Dysf (tm1Kcam) strain, which was generated using a targeting vector to replace a 12-kb region of the dysferlin gene and which features a progressive muscular dystrophy. A prerequisite for successful animal studies using genetic mouse models is an accurate genotyping protocol. Unfortunately, the lack of robustness of currently available genotyping protocols for the Dysf (tm1Kcam) mouse has prevented efficient colony management. Initial attempts to improve the genotyping protocol based on the published genomic structure failed. These difficulties led us to analyze the targeted locus of the dysferlin gene of the Dysf (tm1Kcam) mouse in greater detail. In this study we resequenced and analyzed the targeted locus of the Dysf (tm1Kcam) mouse and developed a novel PCR protocol for genotyping. We found that instead of a deletion, the dysferlin locus in the Dysf (tm1Kcam) mouse carries a targeted insertion. This genetic characterization enabled us to establish a reliable method for genotyping of the Dysf (tm1Kcam) mouse, and thus has made efficient colony management possible. Our work will make the Dysf (tm1Kcam) mouse model more attractive for animal studies of dysferlinopathies.

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The data shown below were collected from the profiles of 4 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Other 1 17%
Lecturer > Senior Lecturer 1 17%
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 50%
Medicine and Dentistry 2 33%
Neuroscience 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 March 2022.
All research outputs
#13,437,987
of 23,381,576 outputs
Outputs from Skeletal Muscle
#275
of 368 outputs
Outputs of similar age
#128,616
of 280,544 outputs
Outputs of similar age from Skeletal Muscle
#9
of 10 outputs
Altmetric has tracked 23,381,576 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 280,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% 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.