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Distribution of ncRNAs expression across hypothalamic-pituitary-gonadal axis in Capra hircus

Overview of attention for article published in BMC Genomics, May 2018
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Title
Distribution of ncRNAs expression across hypothalamic-pituitary-gonadal axis in Capra hircus
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4767-x
Pubmed ID
Authors

Emanuele Capra, Barbara Lazzari, Stefano Frattini, Stefania Chessa, Beatrice Coizet, Andrea Talenti, Bianca Castiglioni, Paolo Ajmone Marsan, Paola Crepaldi, Giulio Pagnacco, John L. Williams, Alessandra Stella

Abstract

Molecular regulation of the hypothalamic-pituitary-gonadal (HPG) axis plays an essential role in the fine tuning of seasonal estrus in Capra hircus. Noncoding RNAs (ncRNAs) are emerging as key regulators in sexual development and mammalian reproduction. In order to identify ncRNAs and to assess their expression patterns, along the HPG axis, we sequenced ncRNA libraries from hypothalamus, pituitary and ovary of three goats. Among the medium length noncoding RNAs (mncRNAs) identified, small nucleolar RNAs (snoRNAs) and transfer RNAs (tRNAs) were found to be more abundant in ovary and hypothalamus, respectively. The observed GC content was representative for different classes of ncRNAs, allowing the identification of a tRNA-derived RNA fragments (tRFs) subclass, which had a peak distribution around 32-38% GC content in the hypothalamus. Differences observed among organs confirmed the specificity of microRNA (miRNA) profiles for each organ system. Data on ncRNAs in organs constituting the HPG axis will contribute to understanding their role in the physiological regulation of reproduction in goats.

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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 %
Researcher 5 26%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Professor 1 5%
Other 1 5%
Other 4 21%
Unknown 5 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Biochemistry, Genetics and Molecular Biology 6 32%
Unspecified 1 5%
Unknown 4 21%
Attention Score in Context

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 02 June 2018.
All research outputs
#15,007,607
of 23,085,832 outputs
Outputs from BMC Genomics
#6,177
of 10,705 outputs
Outputs of similar age
#199,506
of 331,098 outputs
Outputs of similar age from BMC Genomics
#147
of 262 outputs
Altmetric has tracked 23,085,832 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,705 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 331,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.