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miR-23a impairs bone differentiation in osteosarcoma via down-regulation of GJA1

Overview of attention for article published in Frontiers in Genetics, July 2015
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Title
miR-23a impairs bone differentiation in osteosarcoma via down-regulation of GJA1
Published in
Frontiers in Genetics, July 2015
DOI 10.3389/fgene.2015.00233
Pubmed ID
Authors

Yevgeniy Gindin, Yuan Jiang, Princy Francis, Robert L. Walker, Ogan D. Abaan, Yuelin J. Zhu, Paul S. Meltzer

Abstract

Osteosarcoma is the most common type of bone cancer in children and adolescents. Impaired differentiation of osteoblast cells is a distinguishing feature of this aggressive disease. As improvements in survival outcomes have largely plateaued, better understanding of the bone differentiation program may provide new treatment approaches. The miRNA cluster miR-23a~27a~24-2, particularly miR-23a, has been shown to interact with genes important for bone development. However, global changes in gene expression associated with functional gain of this cluster have not been fully explored. To better understand the relationship between miR-23a expression and bone cell differentiation, we carried out a large-scale gene expression analysis in HOS cells. Experimental results demonstrate that over-expression of miR-23a delays differentiation in this system. Downstream bioinformatic analysis identified miR-23a target gene connexin-43 (Cx43/GJA1), a mediator of intercellular signaling critical to osteoblast development, as acutely affected by miR-23a levels. Connexin-43 is up-regulated in the course of HOS cell differentiation and is down-regulated in cells transfected with miR-23a. Analysis of gene expression data, housed at Gene Expression Omnibus, reveals that Cx43 is consistently up-regulated during osteoblast differentiation. Suppression of Cx43 mRNA by miR-23a was confirmed in vitro using a luciferase reporter assay. This work demonstrates novel interactions between microRNA expression, intercellular signaling and bone differentiation in osteosarcoma.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Student > Ph. D. Student 4 19%
Researcher 3 14%
Student > Postgraduate 2 10%
Professor > Associate Professor 2 10%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 43%
Agricultural and Biological Sciences 5 24%
Medicine and Dentistry 3 14%
Unknown 4 19%
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 22 July 2015.
All research outputs
#17,765,638
of 22,816,807 outputs
Outputs from Frontiers in Genetics
#6,065
of 11,784 outputs
Outputs of similar age
#176,901
of 263,464 outputs
Outputs of similar age from Frontiers in Genetics
#63
of 84 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,784 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.