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Metabolic consequences of microRNA-122 inhibition in rainbow trout, Oncorhynchus mykiss

Overview of attention for article published in BMC Genomics, January 2014
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Title
Metabolic consequences of microRNA-122 inhibition in rainbow trout, Oncorhynchus mykiss
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-70
Pubmed ID
Authors

Jan A Mennigen, Christopher J Martyniuk, Iban Seiliez, Stéphane Panserat, Sandrine Skiba-Cassy

Abstract

MicroRNAs (miRNAs) are small regulatory molecules which post-transcriptionally regulate mRNA stability and translation. Several microRNAs have received attention due to their role as key metabolic regulators. In spite of the high evolutionary conservation of several miRNAs, the role of miRNAs in lower taxa of vertebrates has not been studied with regard to metabolism. The liver-specific and highly abundant miRNA-122 is one of the most widely studied miRNA in mammals, where it has been implicated in the control of hepatic lipid metabolism. Following our identification of acute postprandial, nutritional and endocrine regulation of hepatic miRNA-122 isomiRNA expression in rainbow trout, we used complementary in silico and in vivo approaches to study the role of miRNA-122 in rainbow trout metabolism. We hypothesized that the role of miRNA-122 in regulating lipid metabolism in rainbow trout is conserved to that in mammals and that modulation of miRNA-122 function would result in altered lipid homeostasis and secondarily altered glucose homeostasis, since lipogenesis has been suggested to act as glucose sink in trout.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Canada 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Student > Master 9 15%
Researcher 6 10%
Professor 5 8%
Student > Bachelor 4 7%
Other 7 12%
Unknown 13 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 42%
Biochemistry, Genetics and Molecular Biology 6 10%
Medicine and Dentistry 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Materials Science 2 3%
Other 5 8%
Unknown 15 25%
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 27 January 2014.
All research outputs
#20,217,843
of 22,741,406 outputs
Outputs from BMC Genomics
#9,258
of 10,633 outputs
Outputs of similar age
#266,099
of 307,315 outputs
Outputs of similar age from BMC Genomics
#386
of 435 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,633 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 435 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.