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Novel equine tissue miRNAs and breed-related miRNA expressed in serum

Overview of attention for article published in BMC Genomics, October 2016
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Title
Novel equine tissue miRNAs and breed-related miRNA expressed in serum
Published in
BMC Genomics, October 2016
DOI 10.1186/s12864-016-3168-2
Pubmed ID
Authors

Alicja Pacholewska, Núria Mach, Xavier Mata, Anne Vaiman, Laurent Schibler, Eric Barrey, Vincent Gerber

Abstract

MiRNAs regulate multiple genes at the post-transcriptional level and therefore play an important role in many biological processes. It has been suggested that miRNA exported outside the cells contribute to inter-cellular communication. Consequently, circulating miRNAs are of particular interest and are promising biomarkers for many diseases. The number of miRNAs annotated in the horse genome is much lower compared to model organisms like human and mouse. We therefore aimed to identify novel equine miRNAs for tissue types and breed in serum. We analysed 71 small RNA-seq libraries derived from nine tissues (gluteus medius, platysma, masseter muscle, heart, liver, cartilage, bone, total blood and serum) using miRDeep2 and miRdentify tools. Known miRNAs represented between 2.3 and 62.9 % of the reads in 71 libraries. A total of 683 novel miRNAs were identified. Breed and tissue type affected the number of miRNAs detected and interestingly, affected its average intensity. A total of 50 miRNAs in serum proved to be potential biomarkers to differentiate specific breed types, of which miR-122, miR-200, miR-483 were over-expressed and miR-328 was under-expressed in ponies compared to Warmbloods. The different miRNAs profiles, as well as the differences in their expression levels provide a foundation for more hypotheses based on the novel miRNAs discovered. We identified 683 novel equine miRNAs expressed in seven solid tissues, blood and serum. Additionally, our approach evidenced that such data supported identification of specific miRNAs as markers of functions related to breeds or disease tissues.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Bachelor 8 13%
Researcher 7 11%
Student > Master 7 11%
Student > Doctoral Student 6 10%
Other 10 16%
Unknown 15 24%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 15 24%
Agricultural and Biological Sciences 13 21%
Biochemistry, Genetics and Molecular Biology 12 19%
Immunology and Microbiology 2 3%
Medicine and Dentistry 2 3%
Other 5 8%
Unknown 14 22%
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 28 October 2016.
All research outputs
#20,349,664
of 22,896,955 outputs
Outputs from BMC Genomics
#9,299
of 10,673 outputs
Outputs of similar age
#271,450
of 314,045 outputs
Outputs of similar age from BMC Genomics
#174
of 223 outputs
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