| Title |
Extracellular vesicles: how they interact with endothelium, potentially contributing to metastatic cancer cell implants
|
|---|---|
| Published in |
Clinical and Translational Medicine, September 2017
|
| DOI | 10.1186/s40169-017-0165-2 |
| Pubmed ID | |
| Authors |
Murray M. Bern |
| Abstract |
Extracellular vesicles (EV) are blebs of cellular membranes, which entrap small portions of subjacent cytosol. They are released from a variety of cells, circulate in the blood for an unknown length of time and come to rest on endothelial surfaces. They contribute to an array of physiologic pathways, the complexity of which is still being investigated. They contribute to metastatic malignant cell implants and tumor-related angiogenesis, possibly abetted by the tissue factor that they carry. It is thought that the adherence of the EV to endothelium is dependent upon a combination of their P-selectin glycoprotein ligand-1 and exposed phosphatidylserine, the latter of which is normally hidden on the inner bilayer of the intact cellular membrane. This manuscript reviews what is known about EV origins, their clearance from the circulation and how they contribute to malignant cell implants upon endothelium surfaces and subsequent tumor growth. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 18% |
| Student > Bachelor | 8 | 18% |
| Researcher | 6 | 13% |
| Student > Master | 6 | 13% |
| Student > Postgraduate | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 22% |
| Medicine and Dentistry | 10 | 22% |
| Agricultural and Biological Sciences | 5 | 11% |
| Immunology and Microbiology | 2 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 16 | 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 22 September 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Clinical and Translational Medicine
#851
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Outputs of similar age
#286,455
of 325,640 outputs
Outputs of similar age from Clinical and Translational Medicine
#10
of 10 outputs
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