| Title |
SNAI1, an endothelial–mesenchymal transition transcription factor, promotes the early phase of ocular neovascularization
|
|---|---|
| Published in |
Angiogenesis, April 2018
|
| DOI | 10.1007/s10456-018-9614-9 |
| Pubmed ID | |
| Authors |
Jia-Xing Sun, Tian-Fang Chang, Man-Hong Li, Li-Juan Sun, Xian-Chun Yan, Zi-Yan Yang, Yuan Liu, Wen-Qin Xu, Yang Lv, Jing-Bo Su, Liang Liang, Hua Han, Guo-Rui Dou, Yu-Sheng Wang |
| Abstract |
Ocular neovascularization is a comprehensive process involved in retinal vascular development and several blinding diseases such as age-related macular degeneration and retinopathy of prematurity, with vascular endothelial growth factor (VEGF) regarded as the master regulator. However, the qualified effect of anti-VEGF therapy reveals that the underlying mechanisms are still not clearly identified. To initialize angiogenesis, endothelial cells undergo a phenotype switching to generate highly migratory and invasive cells. This process shares certain similar characters observed in endothelial-mesenchymal transition (EndMT). Here, we found that SNAI1, an EndMT transcription factor, was expressed by endothelial cells in both physiological and pathological ocular neovascularization. SNAI1 overexpression triggered cell morphological change and enhanced cell motility, while loss of SNAI1 attenuated migration, invasion and sprouting. RNA sequence analysis further revealed that SNAI1 knockdown decreased the expression of genes related to cytoskeleton rearrangement and ECM remodeling. Moreover, intravitreal injection of small interfering RNA of SNAI1 suppressed new vessel formation in developing retina as well as mice model of choroidal neovascularization and oxygen-induced retinopathy. Therefore, we propose that the EndMT transcription factor SNAI1 promotes the early phase of ocular neovascularization and may provide a potential therapeutic target. |
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 | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Student > Postgraduate | 3 | 8% |
| Student > Bachelor | 2 | 6% |
| Professor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 8 | 22% |
| Unknown | 12 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Agricultural and Biological Sciences | 3 | 8% |
| Engineering | 3 | 8% |
| Sports and Recreations | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 36% |
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 12 October 2019.
All research outputs
#14,981,465
of 23,045,021 outputs
Outputs from Angiogenesis
#337
of 539 outputs
Outputs of similar age
#197,742
of 327,386 outputs
Outputs of similar age from Angiogenesis
#5
of 13 outputs
Altmetric has tracked 23,045,021 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 539 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 34th percentile – i.e., 34% 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 327,386 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.