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Identification of apoptosis-related microRNAs and their target genes in myocardial infarction post-transplantation with skeletal myoblasts

Overview of attention for article published in Journal of Translational Medicine, August 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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5 tweeters

Citations

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16 Dimensions

Readers on

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27 Mendeley
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Title
Identification of apoptosis-related microRNAs and their target genes in myocardial infarction post-transplantation with skeletal myoblasts
Published in
Journal of Translational Medicine, August 2015
DOI 10.1186/s12967-015-0603-0
Pubmed ID
Authors

Qi Liu, Guo Qing Du, Zhi Tao Zhu, ChunYang Zhang, Xiao Wei Sun, Jing Jin Liu, Xia Li, Yong Shun Wang, Wen Juan Du

Abstract

Skeletal myoblasts (SkMs) has provided a promising treatment for myocardial infarction (MI). Functioning as posttranscriptional regulators, microRNAs (miRNAs) play important roles in cardiac repairment and stem cell regulation. However, the correlation between miRNAs and their targeted genes in SkM cell therapy for MI was not fully understood. We explored the cardioprotection by SkMs in infracted rats and determined cardiac functions at 4 weeks. In addition, we compared the expression profiles of miRNAs and mRNAs in post-MI rats with or without SkM cell therapy using microarray. The concordance between miRNA expression and mRNA levels of potential target genes was confirmed by quantitative real-time PCR. Quantitative echocardiography and histology showed improved cardiac function, attenuated heart infarcted area and inhibited cardiomyocyte apoptosis in the SkM group, compared with MI group. We identified that 160 miRNAs were differentially expressed in MI group as compared to the control group and 78 miRNAs were differentially expressed in the SkM treated group as compared to the untreated post-MI. We focused on a novel set of apoptosis-associated miRNAs and their target genes, among which 4 miRNAs (miR-30a-5p, miR-30c-5p, miR-145-5p, miR-140-3p), except one (miR-143-3p), were downregulated in the SkM treated group as compared to the untreated group. Furthermore, we found seven genes including Angptl4, Dpep1, Egr1, Eif5a, Tsc22d3, Irs2 and Cebpb that showed a linear correlation with which miRNAs. The downregulation of apoptosis-regulatory miRNAs and in turn upregulation of target genes may partially account for rescue effect of SKM therapy for MI.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Spain 1 4%
Brazil 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 22%
Student > Bachelor 5 19%
Researcher 3 11%
Student > Ph. D. Student 3 11%
Student > Master 3 11%
Other 7 26%
Readers by discipline Count As %
Unspecified 7 26%
Agricultural and Biological Sciences 4 15%
Biochemistry, Genetics and Molecular Biology 4 15%
Medicine and Dentistry 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 11%
Other 5 19%

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 02 September 2016.
All research outputs
#2,045,742
of 8,317,445 outputs
Outputs from Journal of Translational Medicine
#361
of 1,835 outputs
Outputs of similar age
#65,469
of 231,076 outputs
Outputs of similar age from Journal of Translational Medicine
#22
of 104 outputs
Altmetric has tracked 8,317,445 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,835 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 79% 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 231,076 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 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.