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Identification and bioinformatics analysis of miRNAs involved in bovine skeletal muscle satellite cell myogenic differentiation

Overview of attention for article published in Molecular and Cellular Biochemistry, March 2015
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Title
Identification and bioinformatics analysis of miRNAs involved in bovine skeletal muscle satellite cell myogenic differentiation
Published in
Molecular and Cellular Biochemistry, March 2015
DOI 10.1007/s11010-015-2371-9
Pubmed ID
Authors

Yi Min Wang, Xiang Bin Ding, Yang Dai, Xin Feng Liu, Hong Guo, Yong Zhang

Abstract

MicroRNAs (miRNAs) are short non-coding RNA molecules that perform post-transcriptional repression of target genes by binding to 3' untranslated regions, and involved in the regulation of many biological processes. Some studies indicate that miRNAs are mechanistically involved in the muscle growth and differentiation. However, little is known about miRNAs expression patterns during the process of bovine skeletal muscle satellite cell myogenic differentiated into myotubes. To investigate the mechanisms of miRNAs-mediated regulation during this process, we performed a miRNAs microarray to detect 783 bovine miRNAs in bovine skeletal muscle satellite cell myogenic differentiation, and the results were further confirmed by a quantitative real-time RT-PCR assay. We observed that the expression of 15 miRNAs was significantly different between bovine skeletal muscle satellite cells and differentiated myotubes, in which twelve were significantly up-regulated and three were down-regulated in myotubes. Furthermore, using bioinformatics methods, the targets of differentially expressed miRNAs were predicted, and were further subjected to gene ontology (GO) and KEGG analysis. A total of 3077 potential target genes were produced, and the highly enriched GOs and KEGG pathways showed that these genes together formed a regulatory network that involved in cell proliferation, cell differentiation, and multiple biological molecular signaling processes. Taken together, the results of the current study suggested the potential regulating roles of these differentially expressed miRNAs in bovine myogenic differentiation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Researcher 3 20%
Student > Doctoral Student 2 13%
Professor > Associate Professor 2 13%
Professor 1 7%
Other 2 13%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 40%
Biochemistry, Genetics and Molecular Biology 2 13%
Veterinary Science and Veterinary Medicine 1 7%
Business, Management and Accounting 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Other 2 13%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 January 2016.
All research outputs
#17,749,774
of 22,793,427 outputs
Outputs from Molecular and Cellular Biochemistry
#1,479
of 2,303 outputs
Outputs of similar age
#175,347
of 257,855 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#8
of 34 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,303 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 32nd percentile – i.e., 32% 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 257,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 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 73% of its contemporaries.