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Integrated analysis of coding genes and non-coding RNAs during hair follicle cycle of cashmere goat (Capra hircus)

Overview of attention for article published in BMC Genomics, October 2017
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Title
Integrated analysis of coding genes and non-coding RNAs during hair follicle cycle of cashmere goat (Capra hircus)
Published in
BMC Genomics, October 2017
DOI 10.1186/s12864-017-4145-0
Pubmed ID
Authors

Shanhe Wang, Wei Ge, Zhixin Luo, Yang Guo, Beilei Jiao, Lei Qu, Zhiying Zhang, Xin Wang

Abstract

Cashmere growth is a seasonal and cyclic phenomenon under the control of photoperiod and multiple stimulatory and inhibitory signals. Beyond relevant coding genes, microRNA (miRNA) and long non coding RNA (lncRNA) play an indispensable role in hair follicle (HF) development and skin homeostasis. Furthermore, the influence of lncRNA upon miRNA function is also rapidly emerging. However, little is known about miRNAs, lncRNAs and their functions as well as their interactions on cashmere development and cycling. Here, based on lncRNA and miRNA high-throughput sequencing and bioinformatics analysis, we have identified 1108 lncRNAs and 541 miRNAs in cashmere goat skin during anagen and telogen. Compared with telogen, 1388 coding genes, 41 lncRNAs and 15 miRNAs were upregulated, while 1104 coding genes, 157 lncRNAs and 8 miRNAs were downregulated in anagen (adjusted P-value ≤0.05 and relative fold-change ≥2). Subsequently, we investigated the impact of lncRNAs on their target genes in cis and trans, indicating that these lncRNAs are functionally conserved during HF development and cycling. Furthermore, miRNA-mRNA and miRNA-lncRNA interaction were identified through the bioinformatics algorithm miRanda, then the ceRNA networks, miR-221-5p-lnc_000679-WNT3, miR-34a-lnc_000181-GATA3 and miR-214-3p-lnc_000344-SMAD3, were constructed under defined rules, to illustrate their roles in cashmere goat HF biology. The present study provides a resource for lncRNA, miRNA and mRNA studies in cashmere cycling and development. We also demonstrate potential ceRNA regulatory networks in cashmere goat HF cycling for the first time. It expands our knowledge about lncRNA and miRNA biology as well as contributes to the annotation of the goat genome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 4 14%
Other 3 10%
Student > Bachelor 3 10%
Lecturer > Senior Lecturer 1 3%
Other 4 14%
Unknown 8 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 21%
Medicine and Dentistry 3 10%
Biochemistry, Genetics and Molecular Biology 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Unspecified 1 3%
Other 5 17%
Unknown 9 31%
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 13 October 2017.
All research outputs
#17,917,778
of 23,005,189 outputs
Outputs from BMC Genomics
#7,612
of 10,692 outputs
Outputs of similar age
#232,325
of 324,711 outputs
Outputs of similar age from BMC Genomics
#131
of 204 outputs
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So far Altmetric has tracked 10,692 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.