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Nuclear positioning in muscle development and disease

Overview of attention for article published in Frontiers in Physiology, January 2013
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Nuclear positioning in muscle development and disease
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00363
Pubmed ID
Authors

Eric S. Folker, Mary K. Baylies

Abstract

Muscle disease as a group is characterized by muscle weakness, muscle loss, and impaired muscle function. Although the phenotype is the same, the underlying cellular pathologies, and the molecular causes of these pathologies, are diverse. One common feature of many muscle disorders is the mispositioning of myonuclei. In unaffected individuals, myonuclei are spaced throughout the periphery of the muscle fiber such that the distance between nuclei is maximized. However, in diseased muscles, the nuclei are often clustered within the center of the muscle cell. Although this phenotype has been acknowledged for several decades, it is often ignored as a contributor to muscle weakness. Rather, these nuclei are taken only as a sign of muscle repair. Here we review the evidence that mispositioned myonuclei are not merely a symptom of muscle disease but also a cause. Additionally, we review the working models for how myonuclei move from two different perspectives: from that of the nuclei and from that of the cytoskeleton. We further compare and contrast these mechanisms with the mechanisms of nuclear movement in other cell types both to draw general themes for nuclear movement and to identify muscle-specific considerations. Finally, we focus on factors that can be linked to muscle disease and find that genes that regulate myonuclear movement and positioning have been linked to muscular dystrophy. Although the cause-effect relationship is largely speculative, recent data indicate that the position of nuclei should no longer be considered only a means to diagnose muscle disease.

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X Demographics

The data shown below were collected from the profiles of 7 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 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
France 2 <1%
United Kingdom 1 <1%
Unknown 290 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 27%
Student > Master 40 14%
Researcher 39 13%
Student > Bachelor 38 13%
Student > Doctoral Student 12 4%
Other 32 11%
Unknown 54 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 27%
Biochemistry, Genetics and Molecular Biology 78 26%
Medicine and Dentistry 22 7%
Neuroscience 14 5%
Sports and Recreations 8 3%
Other 28 9%
Unknown 65 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 September 2023.
All research outputs
#7,613,205
of 24,475,473 outputs
Outputs from Frontiers in Physiology
#3,709
of 15,048 outputs
Outputs of similar age
#79,301
of 290,100 outputs
Outputs of similar age from Frontiers in Physiology
#108
of 398 outputs
Altmetric has tracked 24,475,473 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 15,048 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 75% 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 290,100 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 71% of its contemporaries.
We're also able to compare this research output to 398 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.