| Title |
Hsa-miR-370 inhibited P-selectin-induced cell adhesion in human colon adenocarcinoma cells
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, June 2018
|
| DOI | 10.1007/s11010-018-3382-0 |
| Pubmed ID | |
| Authors |
Yunhai Wei, Jie Shao, Yan Wang, Hua Shen, Sheng Yu, Jinyu Zhang, Lei Yin |
| Abstract |
Sialyl Lewis x (sLex) is a minimal recognition motif for ligands of P-selectin and plays an important role in tumor cell adhesion and migration. Thus, targeting sLex could be an effective method to prevent tumor metastasis. In this study, we aimed to identify a microRNA (miRNA) which is capable to suppress the expression of sLex. MicroRNAs which may target ST3GAL4 were predicted by the online tools. Colo 320 HSR human colon adenocarcinoma cells were employed. The transcriptional and translational levels of ST3GAL4 were evaluated by western blotting and Real-time quantitative polymerase chain reaction. Cell adhesion and spread were assessed with or without hsa-miR-370 treatment. It was shown that hsa-miR-370 inhibited the expression of sLex in colo-320 cells, which repressed the binding of P-selectin, and led to reduced cell attachment and spread. Our results found that P-selectin-induced elevations of p-p38 and p-PI3K levels were significantly inhibited by hsa-miR-370, indicating that repressed sLex level is able to reduce the P-selectin binding and therefore eliminating the P-selectin-induced activation of p38 and PI3K signaling. In conclusion, we found that hsa-miR-370 specifically inhibits the expression of sLex, represses cell adhesion and spreading in colo-320 cells. Our study provides a possible effective treatment against tumor invasion. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Other | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Immunology and Microbiology | 1 | 25% |
| Unknown | 2 | 50% |
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 29 June 2018.
All research outputs
#18,639,173
of 23,090,520 outputs
Outputs from Molecular and Cellular Biochemistry
#1,580
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Outputs of similar age
#252,990
of 328,040 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#11
of 24 outputs
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