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Profiling of REST-Dependent microRNAs Reveals Dynamic Modes of Expression

Overview of attention for article published in Frontiers in Neuroscience, January 2012
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Title
Profiling of REST-Dependent microRNAs Reveals Dynamic Modes of Expression
Published in
Frontiers in Neuroscience, January 2012
DOI 10.3389/fnins.2012.00067
Pubmed ID
Authors

Zhengliang Gao, Peiguo Ding, Jenny Hsieh

Abstract

Multipotent neural stem cells (NSCs) possess the ability to self-renew and differentiate into both neurons and glia. However, the detailed mechanisms underlying NSC fate decisions are not well understood. Recent work suggests that the interaction between cell type specific transcription factors and microRNAs (miRNAs) is important as resident neural stem/progenitor cells give rise to functionally mature neurons. Recently, we demonstrated that the transcriptional repressor REST (RE1-silencing transcription factor) is essential to prevent precocious neuronal differentiation and maintain NSC self-renewal in the adult hippocampus. Here we show that REST is required for orchestrating the expression of distinct subsets of miRNAs in primary mouse NSC cultures, a physiologically relevant cell type. Using miRNA array profiling, we identified known REST-regulated miRNA genes, as well as previously uncharacterized REST-dependent miRNAs. Interestingly, in response to proliferation and differentiation stimuli, REST-regulated miRNAs formed distinct clusters and displayed variable expression dynamics. These results suggest that REST functions in a context-dependent manner through its target miRNAs for mediating neuronal production.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Researcher 7 22%
Student > Master 5 16%
Student > Doctoral Student 5 16%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 2 6%
Readers by discipline Count As %
Neuroscience 10 31%
Agricultural and Biological Sciences 8 25%
Biochemistry, Genetics and Molecular Biology 3 9%
Chemistry 2 6%
Medicine and Dentistry 2 6%
Other 5 16%
Unknown 2 6%
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 24 May 2012.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#8,067
of 11,542 outputs
Outputs of similar age
#172,464
of 250,100 outputs
Outputs of similar age from Frontiers in Neuroscience
#106
of 154 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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