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Non-coding RNAs as epigenetic regulator of glioma stem-like cell differentiation

Overview of attention for article published in Frontiers in Genetics, January 2014
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Title
Non-coding RNAs as epigenetic regulator of glioma stem-like cell differentiation
Published in
Frontiers in Genetics, January 2014
DOI 10.3389/fgene.2014.00014
Pubmed ID
Authors

Keisuke Katsushima, Yutaka Kondo

Abstract

Glioblastomas show heterogeneous histological features. These distinct phenotypic states are thought to be associated with the presence of glioma stem cells (GSCs), which are highly tumorigenic and self-renewing sub-population of tumor cells that have different functional characteristics. Differentiation of GSCs may be regulated by multi-tiered epigenetic mechanisms that orchestrate the expression of thousands of genes. One such regulatory mechanism involves functional non-coding RNAs (ncRNAs), such as microRNAs (miRNAs); a large number of ncRNAs have been identified and shown to regulate the expression of genes associated with cell differentiation programs. Given the roles of miRNAs in cell differentiation, it is possible they are involved in the regulation of gene expression networks in GSCs that are important for the maintenance of the pluripotent state and for directing differentiation. Here, we review recent findings on ncRNAs associated with GSC differentiation and discuss how these ncRNAs contribute to the establishment of tissue heterogeneity during glioblastoma tumor formation.

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X Demographics

The data shown below were collected from the profiles of 3 X users 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 30%
Researcher 8 16%
Student > Master 7 14%
Student > Bachelor 6 12%
Student > Doctoral Student 3 6%
Other 7 14%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 40%
Biochemistry, Genetics and Molecular Biology 11 22%
Medicine and Dentistry 8 16%
Neuroscience 2 4%
Psychology 1 2%
Other 3 6%
Unknown 5 10%
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 19 March 2014.
All research outputs
#14,773,697
of 22,743,667 outputs
Outputs from Frontiers in Genetics
#4,459
of 11,758 outputs
Outputs of similar age
#183,033
of 305,211 outputs
Outputs of similar age from Frontiers in Genetics
#36
of 54 outputs
Altmetric has tracked 22,743,667 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 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 305,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.