| Title |
Noncoding RNAs in the regulation of skeletal muscle biology in health and disease
|
|---|---|
| Published in |
Journal of Molecular Medicine, July 2016
|
| DOI | 10.1007/s00109-016-1443-y |
| Pubmed ID | |
| Authors |
Adriana Simionescu-Bankston, Ashok Kumar |
| Abstract |
Skeletal muscle is composed of multinucleated myofibers that arise from the fusion of myoblasts during development. Skeletal muscle is essential for various body functions such as maintaining posture, locomotion, breathing, and metabolism. Skeletal muscle undergoes remarkable adaptations in response to environmental stimuli leading to atrophy or hypertrophy. Moreover, degeneration of skeletal muscle is a common feature in a number of muscular disorders including muscular dystrophy. Emerging evidence suggests that noncoding RNAs, such as microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), are critical for skeletal muscle physiology. Several miRNAs and lncRNAs have now been found to control skeletal muscle development and regeneration. Noncoding RNAs also play an important role in the regulation of skeletal muscle mass in adults. Furthermore, aberrant expression of miRNAs and lncRNAs has been observed in several muscular disorders. In this article, we discuss the mechanisms of action of miRNAs and lncRNAs in skeletal muscle formation, growth, regeneration, and disease. We further highlight potential therapeutic strategies for utilizing noncoding RNAs to improve skeletal muscle function. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 28% |
| Student > Master | 8 | 13% |
| Researcher | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Professor > Associate Professor | 5 | 8% |
| Other | 8 | 13% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 26% |
| Agricultural and Biological Sciences | 15 | 25% |
| Medicine and Dentistry | 5 | 8% |
| Veterinary Science and Veterinary Medicine | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 16 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 August 2016.
All research outputs
#14,268,160
of 22,880,230 outputs
Outputs from Journal of Molecular Medicine
#1,077
of 1,550 outputs
Outputs of similar age
#203,912
of 354,139 outputs
Outputs of similar age from Journal of Molecular Medicine
#9
of 20 outputs
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