| Title |
CD133 positive U87 glioblastoma cells-derived exosomal microRNAs in hypoxia- versus normoxia-microenviroment
|
|---|---|
| Published in |
Journal of Neuro-Oncology, September 2017
|
| DOI | 10.1007/s11060-017-2566-x |
| Pubmed ID | |
| Authors |
Guobin Zhang, Yunsheng Zhang, Sen Cheng, Zhen Wu, Fusheng Liu, Junting Zhang |
| Abstract |
Hypoxia is a major regulator of glioma development and aggressiveness. However, how CD133 positive U87 glioblastoma cells adapt to hypoxia and communicate with their surrounding microenvironment during tumor development remain important questions. Communication with host cells and stroma via exosomes represents one pathway by which tumors can modify their surroundings to achieve a tumor-permissive environment. MicroRNAs are thought to be essential actors of tumorigenesis as they are able to control the expression of numerous genes. Here, we show that exosomes derived from CD133+ U87 glioblastoma cells grown at hypoxic compared with normoxic conditions are potent proliferation inducers of the tumor vasculature and glioma cells proliferation in vitro. Moreover, we analyze the microRNA content of exosomes produced in vitro by hypoxia and normoxia CD133+ U87 glioblastoma cells using Affymetrix microarrays. It appears that the exosome microRNA profiles are qualitatively quite similar. Nevertheless, their quantitative profiles are different and may be potentially taken as an opportunity to carry out assays of diagnostic interest. We conclude that CD133+ U87 glioblastoma cells derived exosome-mediated miRNA transduction play an important role of mediating a proangiogenic response and glioma cells proliferation, and that the exosomal pathway constitutes a potentially targetable driver of hypoxia-dependent intercellular signaling during tumor development. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 32% |
| Student > Master | 8 | 16% |
| Researcher | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Other | 2 | 4% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 32% |
| Medicine and Dentistry | 11 | 22% |
| Agricultural and Biological Sciences | 6 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 12 | 24% |
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 21 June 2018.
All research outputs
#15,481,147
of 23,005,189 outputs
Outputs from Journal of Neuro-Oncology
#1,972
of 2,987 outputs
Outputs of similar age
#200,727
of 320,352 outputs
Outputs of similar age from Journal of Neuro-Oncology
#23
of 52 outputs
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