| Title |
Distal Axonal Proteins and Their Related MiRNAs in Cultured Cortical Neurons
|
|---|---|
| Published in |
Molecular Neurobiology, July 2018
|
| DOI | 10.1007/s12035-018-1266-7 |
| Pubmed ID | |
| Authors |
Chao Li, Yi Zhang, Albert M. Levin, Bao Yan Fan, Hua Teng, Moleca M. Ghannam, Michael Chopp, Zheng Gang Zhang |
| Abstract |
Proteins and microRNAs (miRNAs) within the axon locally regulate axonal development. However, protein profiles of distal axons of cortical neurons have not been fully investigated. In particular, networks of genes encoding axonal proteins and their related miRNAs in sub compartments of neurons such as axons remain unknown. Using embryonic cortical neurons cultured in a microfluidic device and proteomic approaches, we found that distal axons contain 883 proteins. Bioinformatics analysis revealed that 94 out of these 883 proteins are related to regulating axonal growth. Of the 94 genes encoding these proteins, there were 56 candidate genes that can be putatively targeted by axon-enriched 62 miRNAs with 8mer sites that exactly match these target genes. Among them, we validated 11 proteins and 11 miRNAs, by means of western blot and RT-PCR, respectively. Treatment of distal axons with chondroitin sulfate proteoglycans (CSPGs) that inhibit axonal growth elevated miR-133b, -203a, -29a, and -92a, which were associated with reduced protein level of AKT, MTOR, PI3K, DPYSL2, MAP1B, and PPP2CA. In contrast, reduction of miR-128, -15b, -195, -26b, -34b, -376b, and -381 by CSPGs was accompanied by increased EZR, KIF5A, DCX, GSK3B, and ROCK2 proteins. In silico pathway analysis revealed an interconnected network of these miRNAs and protein coding genes that is highly related to regulating axonal growth. Our data provide new insights into networks of miRNAs and their related proteins in distal axons in mediating axonal growth. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 21% |
| Student > Master | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 9 | 38% |
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Agricultural and Biological Sciences | 2 | 8% |
| Unknown | 6 | 25% |
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 30 July 2018.
All research outputs
#14,284,696
of 23,339,727 outputs
Outputs from Molecular Neurobiology
#1,801
of 3,538 outputs
Outputs of similar age
#180,027
of 330,735 outputs
Outputs of similar age from Molecular Neurobiology
#64
of 133 outputs
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