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LncRNA H19 promotes the differentiation of bovine skeletal muscle satellite cells by suppressing Sirt1/FoxO1

Overview of attention for article published in Cellular & Molecular Biology Letters, June 2017
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Title
LncRNA H19 promotes the differentiation of bovine skeletal muscle satellite cells by suppressing Sirt1/FoxO1
Published in
Cellular & Molecular Biology Letters, June 2017
DOI 10.1186/s11658-017-0040-6
Pubmed ID
Authors

Xiaochun Xu, Shengyue Ji, Weili Li, Bao Yi, Hengxin Li, Hongfu Zhang, Wenping Ma

Abstract

H19 is a well-characterized Long noncoding RNA (lncRNA) that has been proven to promote myoblast differentiation in humans and mice. However, its mechanism of action is still not fully interpreted. Using RT-qPCR, we examined H19 RNA levels in various tissues from 1-week, 1-month, 6-month and 36-month old male cattle (i.e., newborn, infant, young and adult). The protein and mRNA levels of MyoG, MyHC, Sirt1 and FoxO1 in the satellite and C2C12 cells with an H19 silencing or overexpression vector were respectively detected using western blot and real-time qPCR. H19 was highly expressed in skeletal muscle at all the studied ages. High expression of H19 was required for the differentiation of bovine satellite cells. Knockdown of H19 caused a remarkable increase in the myoblast-inhibitory genes Sirt1/FoxO1, suggesting that H19 suppresses Sirt1/FoxO1 expression during myogenesis. Western blotting analysis of co-transfection of Sirt1 or FoxO1 expression vectors with pcDNA-H19 indicated that Sirt1/FoxO1 overexpression neutralized the promotion of myoblast differentiation through transfection of pcDNA-H19. H19 promoted the differentiation of bovine skeletal muscle satellite cells by suppressing Sirt1/FoxO1.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Student > Ph. D. Student 6 22%
Student > Bachelor 3 11%
Student > Doctoral Student 3 11%
Other 1 4%
Other 1 4%
Unknown 6 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 37%
Agricultural and Biological Sciences 8 30%
Engineering 2 7%
Medicine and Dentistry 1 4%
Sports and Recreations 1 4%
Other 0 0%
Unknown 5 19%
Attention Score in Context

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 12 August 2017.
All research outputs
#13,558,573
of 22,982,639 outputs
Outputs from Cellular & Molecular Biology Letters
#100
of 484 outputs
Outputs of similar age
#160,988
of 316,289 outputs
Outputs of similar age from Cellular & Molecular Biology Letters
#2
of 4 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 484 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 78% 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 316,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.