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RNA-seq analysis of lncRNA-controlled developmental gene expression during puberty in goat

Overview of attention for article published in BMC Genomic Data, April 2018
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Title
RNA-seq analysis of lncRNA-controlled developmental gene expression during puberty in goat & rat
Published in
BMC Genomic Data, April 2018
DOI 10.1186/s12863-018-0608-9
Pubmed ID
Authors

Xiaoxiao Gao, Jing Ye, Chen Yang, Lei Luo, Ya Liu, Jianping Ding, Yunhai Zhang, Yinghui Ling, Weiping Huang, Xiaorong Zhang, Kaifa Zhang, Xiumei Li, Jie Zhou, Fugui Fang, Zubing Cao

Abstract

Puberty is a pivotal stage in female animal development, and marks the onset of reproductive capability. However, little is known about the function of lncRNAs (long noncoding RNAs) in puberty. Therefore, RNA-seq analysis were performed between goats and rats to clarify the roles of lncRNAs and mRNAs in the onset of puberty. In the present study, the length of lncRNAs, the length of the open reading frame and the exon count were compared between the two species. Furthermore, functional annotation analysis based on Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analysis of lncRNAs target genes and differentially expressed mRNA demonstrated the significantly enriched terms, such as AMPK signaling pathway, oxytocin signaling pathway, insulin secretion as well as pheromone receptor activity, and some other signaling pathways which were involved in the regulation of female puberty. Moreover, our results of siRNA interference in vitro showed the candidate lncRNA XLOC_446331 may play a crucial role in regulating female puberty. In conclusion, the RNA-seq analysis between goat and rat provide novel candidate regulators for genetic and molecular studies on female puberty.

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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 > Master 4 21%
Researcher 2 11%
Other 2 11%
Student > Doctoral Student 2 11%
Unspecified 1 5%
Other 0 0%
Unknown 8 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 26%
Biochemistry, Genetics and Molecular Biology 2 11%
Veterinary Science and Veterinary Medicine 1 5%
Unspecified 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 8 42%
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 04 April 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from BMC Genomic Data
#786
of 1,204 outputs
Outputs of similar age
#251,818
of 342,742 outputs
Outputs of similar age from BMC Genomic Data
#6
of 11 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.