| Title |
P85 regulates neuronal migration through affecting neuronal morphology during mouse corticogenesis
|
|---|---|
| Published in |
Cell and Tissue Research, November 2017
|
| DOI | 10.1007/s00441-017-2707-8 |
| Pubmed ID | |
| Authors |
Xinran Cheng, Kaikai Li, MengMeng Liu, Xinde Hu, Mingrui Xu, Runchuan Yan, Shanting Zhao |
| Abstract |
In mammalian developing embryonic cortex, projection neurons migrate from the ventricular zone to the cortical plate, guided by radial glial cells with a transformation between bipolar and multipolar morphology. Previous studies have demonstrated that the PI3K-Akt-mTOR signal plays a critical role in brain development. However, the function of P85 in cortical development is still unclear. In the present study, we found that overexpression of P85 impaired cortical neuronal migration. Using in utero electroporation, we revealed that the length of the leading process in P85 overexpressed neurons became shorter than that in the control group but with more branches. Using markers for new-born neurons, we further found that overexpression of P85 did not affect the ultimate fate of these cortical neurons. These findings indicated that the P85 subunit plays an essential role in neuronal migration and neuronal morphology during mouse corticogenesis. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Professor | 1 | 9% |
| Student > Master | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 3 | 27% |
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Agricultural and Biological Sciences | 1 | 9% |
| Engineering | 1 | 9% |
| Unknown | 4 | 36% |
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 14 November 2017.
All research outputs
#19,236,357
of 23,839,820 outputs
Outputs from Cell and Tissue Research
#1,706
of 2,279 outputs
Outputs of similar age
#252,673
of 328,180 outputs
Outputs of similar age from Cell and Tissue Research
#29
of 43 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,279 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 328,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.