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Identification of novel and differentially expressed MicroRNAs in goat enzootic nasal adenocarcinoma

Overview of attention for article published in BMC Genomics, November 2016
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Title
Identification of novel and differentially expressed MicroRNAs in goat enzootic nasal adenocarcinoma
Published in
BMC Genomics, November 2016
DOI 10.1186/s12864-016-3238-5
Pubmed ID
Authors

Bin Wang, Ni Ye, San-jie Cao, Xin-tian Wen, Yong Huang, Qi-gui Yan

Abstract

MicroRNAs (miRNAs) post-transcriptionally regulate a variety of genes involved in eukaryotic cell growth, development, metabolism and other biological processes, and numerous miRNAs are implicated in the initiation and progression of cancer. Enzootic nasal adenocarcinoma (ENA), an epithelial tumor induced in goats and sheep by enzootic nasal tumor virus (ENTV), is a chronic, progressive, contact transmitted disease. In this work, small RNA Illumina high-throughput sequencing was used to construct a goat nasal miRNA library. This study aimed to identify novel and differentially expressed miRNAs in the tumor and para-carcinoma nasal tissues of Nanjiang yellow goats with ENA. Four hundred six known miRNAs and 29 novel miRNAs were identified. A total of 116 miRNAs were significantly differentially expressed in para-carcinoma nasal tissues and ENA (54 downregulated; 60 upregulated; two only expressed in control group); Target gene prediction and functional analysis revealed that 6176 non-redundancy target genes, 1792 significant GO and 97 significant KEGG pathway for 121 miRNAs (116 significant expression miRNAs and five star sequence) were predicted. GO and KEGG pathway analysis revealed the majority of target genes in ENA are involved in cell proliferation, signal transduction and other processes associated with cancer. This is the first large-scale identification of miRNAs in Capra hircus ENA and provides a theoretical basis for investigating the complicated miRNA-mediated regulatory networks involved in the pathogenesis and progression of ENA.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 21%
Student > Ph. D. Student 4 21%
Student > Master 3 16%
Student > Bachelor 3 16%
Researcher 2 11%
Other 2 11%
Unknown 1 5%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 5 26%
Agricultural and Biological Sciences 4 21%
Biochemistry, Genetics and Molecular Biology 3 16%
Medicine and Dentistry 3 16%
Computer Science 1 5%
Other 2 11%
Unknown 1 5%
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 07 December 2016.
All research outputs
#20,359,475
of 22,908,162 outputs
Outputs from BMC Genomics
#9,302
of 10,676 outputs
Outputs of similar age
#270,520
of 312,900 outputs
Outputs of similar age from BMC Genomics
#168
of 225 outputs
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