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MicroRNA-107 promotes proliferation of gastric cancer cells by targeting cyclin dependent kinase 8

Overview of attention for article published in Diagnostic Pathology, August 2014
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Title
MicroRNA-107 promotes proliferation of gastric cancer cells by targeting cyclin dependent kinase 8
Published in
Diagnostic Pathology, August 2014
DOI 10.1186/s13000-014-0164-1
Pubmed ID
Authors

Yan-qiang Song, Xu-hui Ma, Gui-liang Ma, Bin Lin, Chao Liu, Quan-jiang Deng, Wen-ping Lv

Abstract

BackgroundThe biological processes and molecular mechanisms underlying miR-107 remain unclear in gastric cancer(GC). In this study, we aimed to investigate the expression, biological functions and mechanisms of miR-107 in GC.MethodsQuantitative real-time RT-PCR was used to test miR-107 expression. MTT and colony formation assays were conducted to explore the potential function of miR-107 in human GC cell line SGC7901. The target gene was determined by bioinformatic algorithms, dual luciferase reporter assay, RT-PCR and Western blot.ResultsExpression of miR-107 was significantly elevated in GC cell line than that in gastric epithelial cell line(p¿=¿0.012). We found that miR-107 inhibitor transfection significantly decreased the proliferation of GC cell line, and clone formation rate of miR-107 inhibitor transfected group was significantly lower than that of control group. Luciferase assays using a reporter carrying a putative miR-107 target site in the 3¿untranslated region (3¿-UTR) of cyclin dependent kinase 8 (CDK8) revealed that miR-107 directly targets CDK8. The expression level of CDK8 mRNA and protein in miR-107 inhibitor transfected GC cell line was significantly decreased compared with control group.ConclusionOur findings indicate that miR-107 is upregulated in GC and affects the proliferation of GC cells, partially through the regulation of CDK8.Virtual SlidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_164.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Doctoral Student 3 27%
Lecturer 1 9%
Student > Master 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Pharmacology, Toxicology and Pharmaceutical Science 2 18%
Agricultural and Biological Sciences 2 18%
Medicine and Dentistry 1 9%
Unknown 2 18%

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 02 September 2014.
All research outputs
#9,967,499
of 12,450,849 outputs
Outputs from Diagnostic Pathology
#477
of 760 outputs
Outputs of similar age
#135,226
of 202,635 outputs
Outputs of similar age from Diagnostic Pathology
#17
of 29 outputs
Altmetric has tracked 12,450,849 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 760 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.