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Genome-wide identification and characterization of long non-coding RNAs in developmental skeletal muscle of fetal goat

Overview of attention for article published in BMC Genomics, August 2016
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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4 tweeters

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Title
Genome-wide identification and characterization of long non-coding RNAs in developmental skeletal muscle of fetal goat
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-3009-3
Pubmed ID
Authors

Siyuan Zhan, Yao Dong, Wei Zhao, Jiazhong Guo, Tao Zhong, Linjie Wang, Li, Hongping Zhang

Abstract

Long non-coding RNAs (lncRNAs) have been studied extensively over the past few years. Large numbers of lncRNAs have been identified in mouse, rat, and human, and some of them have been shown to play important roles in muscle development and myogenesis. However, there are few reports on the characterization of lncRNAs covering all the development stages of skeletal muscle in livestock. RNA libraries constructed from developing longissimus dorsi muscle of fetal (45, 60, and 105 days of gestation) and postnatal (3 days after birth) goat (Capra hircus) were sequenced. A total of 1,034,049,894 clean reads were generated. Among them, 3981 lncRNA transcripts corresponding to 2739 lncRNA genes were identified, including 3515 intergenic lncRNAs and 466 anti-sense lncRNAs. Notably, in pairwise comparisons between the libraries of skeletal muscle at the different development stages, a total of 577 transcripts were differentially expressed (P < 0.05) which were validated by qPCR using randomly selected six lncRNA genes. The identified goat lncRNAs shared some characteristics, such as fewer exons and shorter length, with the lncRNAs in other mammals. We also found 1153 lncRNAs genes were neighbored 1455 protein-coding genes (<10 kb upstream and downstream) and functionally enriched in transcriptional regulation and development-related processes, indicating they may be in cis-regulatory relationships. Additionally, Pearson's correlation coefficients of co-expression levels suggested 1737 lncRNAs and 19,422 mRNAs were possibly in trans-regulatory relationships (r > 0.95 or r < -0.95). These co-expressed mRNAs were enriched in development-related biological processes such as muscle system processes, regulation of cell growth, muscle cell development, regulation of transcription, and embryonic morphogenesis. This study provides a catalog of goat muscle-related lncRNAs, and will contribute to a fuller understanding of the molecular mechanism underpinning muscle development in mammals.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Researcher 7 15%
Student > Ph. D. Student 7 15%
Student > Doctoral Student 4 9%
Student > Postgraduate 3 6%
Other 6 13%
Unknown 10 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 34%
Agricultural and Biological Sciences 14 30%
Immunology and Microbiology 2 4%
Neuroscience 2 4%
Computer Science 1 2%
Other 2 4%
Unknown 10 21%

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 24 August 2016.
All research outputs
#3,793,717
of 8,272,014 outputs
Outputs from BMC Genomics
#2,860
of 5,848 outputs
Outputs of similar age
#112,038
of 253,542 outputs
Outputs of similar age from BMC Genomics
#121
of 272 outputs
Altmetric has tracked 8,272,014 research outputs across all sources so far. This one has received more attention than most of these and is in the 53rd percentile.
So far Altmetric has tracked 5,848 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 47th percentile – i.e., 47% 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 253,542 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 54% of its contemporaries.
We're also able to compare this research output to 272 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 51% of its contemporaries.