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MiRNA-17 encoded by the miR-17-92 cluster increases the potential for steatosis in hepatoma cells by targeting CYP7A1

Overview of attention for article published in Cellular & Molecular Biology Letters, April 2018
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Title
MiRNA-17 encoded by the miR-17-92 cluster increases the potential for steatosis in hepatoma cells by targeting CYP7A1
Published in
Cellular & Molecular Biology Letters, April 2018
DOI 10.1186/s11658-018-0083-3
Pubmed ID
Authors

Ruijie Gong, Xiaofei Lv, Fengqiong Liu

Abstract

The miRNA cluster miR-17-92 is known to act as an oncogene in various cancers. Members of this cluster were also found to be involved in some other pathological process, such as steatosis, which is a pivotal event in the initiation and progression of nonalcoholic fatty liver disease (NAFLD). This study aimed to explore whether miR-17, one of the most functional miRNAs in the miR-17-92 family, participates in the process of steatosis in hepatoma cells. We developed both a miR-17-expressing transgenic mouse model and a miR-17-expressing HepG2 cell model, the latter was established via stable transfection. Real-time PCR and western blot were applied to measure the expression levels of miR-17 and the potential target gene CYP7A1. The luciferase assay was used to confirm direct binding of miR-17 and CYP7A1. The oleic acid induction assay and Oil-Red-O staining were performed to support the determination of steatotic changes in HepG2 cell. Extensive steatotic changes were observed in the livers of transgenic mice. Fewer were seen in the wild-type animals. CYP7A1 was confirmed as a target gene of miR-17, and the expression of CYP7A1 was found to be negatively regulated in both the transgenic mice liver cells and the miR-17-expressing HepG2 cells. CYP7A1 was found to participate in miR-17-induced steatosis, as its repressed expression in miR-17 HepG2 cells exacerbated steatotic change. Re-introduction of CYP7A1 into miR-17 HepG2 cell partially alleviated steatosis. miR-17 is a novel regulator of CYP7A1 signaling in hepatic lipid metabolism, suggesting a potential therapeutic approach for fatty liver.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Ph. D. Student 3 17%
Student > Master 3 17%
Student > Bachelor 2 11%
Professor 1 6%
Other 0 0%
Unknown 4 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Medicine and Dentistry 3 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Agricultural and Biological Sciences 1 6%
Nursing and Health Professions 1 6%
Other 2 11%
Unknown 6 33%
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 19 April 2018.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from Cellular & Molecular Biology Letters
#249
of 486 outputs
Outputs of similar age
#253,965
of 327,287 outputs
Outputs of similar age from Cellular & Molecular Biology Letters
#7
of 17 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.