| Title |
MicroRNA-338 Attenuates Cortical Neuronal Outgrowth by Modulating the Expression of Axon Guidance Genes
|
|---|---|
| Published in |
Molecular Neurobiology, May 2016
|
| DOI | 10.1007/s12035-016-9925-z |
| Pubmed ID | |
| Authors |
Aron Kos, Teun Klein-Gunnewiek, Julia Meinhardt, Nikkie F. M. Olde Loohuis, Hans van Bokhoven, Barry B. Kaplan, Gerard J. Martens, Sharon M. Kolk, Armaz Aschrafi |
| Abstract |
MicroRNAs (miRs) are small non-coding RNAs that confer robustness to gene networks through post-transcriptional gene regulation. Previously, we identified miR-338 as a modulator of axonal outgrowth in sympathetic neurons. In the current study, we examined the role of miR-338 in the development of cortical neurons and uncovered its downstream mRNA targets. Long-term inhibition of miR-338 during neuronal differentiation resulted in reduced dendritic complexity and altered dendritic spine morphology. Furthermore, monitoring axon outgrowth in cortical cells revealed that miR-338 overexpression decreased, whereas inhibition of miR-338 increased axonal length. To identify gene targets mediating the observed phenotype, we inhibited miR-338 in cortical neurons and performed whole-transcriptome analysis. Pathway analysis revealed that miR-338 modulates a subset of transcripts involved in the axonal guidance machinery by means of direct and indirect gene targeting. Collectively, our results implicate miR-338 as a novel regulator of cortical neuronal maturation by fine-tuning the expression of gene networks governing cortical outgrowth. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Researcher | 6 | 21% |
| Student > Doctoral Student | 3 | 11% |
| Professor > Associate Professor | 3 | 11% |
| Student > Master | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 43% |
| Agricultural and Biological Sciences | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Medicine and Dentistry | 2 | 7% |
| Immunology and Microbiology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 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 19 May 2016.
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#20,326,948
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Outputs from Molecular Neurobiology
#2,796
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Outputs of similar age
#267,307
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Outputs of similar age from Molecular Neurobiology
#70
of 94 outputs
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