Title |
Alternative Methods for Characterization of Extracellular Vesicles
|
---|---|
Published in |
Frontiers in Physiology, January 2012
|
DOI | 10.3389/fphys.2012.00354 |
Pubmed ID | |
Authors |
Fatemeh Momen-Heravi, Leonora Balaj, Sara Alian, John Tigges, Vasilis Toxavidis, Maria Ericsson, Robert J. Distel, Alexander R. Ivanov, Johan Skog, Winston Patrick Kuo |
Abstract |
Extracellular vesicles (ECVs) are nano-sized vesicles released by all cells in vitro as well as in vivo. Their role has been implicated mainly in cell-cell communication, but also in disease biomarkers and more recently in gene delivery. They represent a snapshot of the cell status at the moment of release and carry bioreactive macromolecules such as nucleic acids, proteins, and lipids. A major limitation in this emerging new field is the availability/awareness of techniques to isolate and properly characterize ECVs. The lack of gold standards makes comparing different studies very difficult and may potentially hinder some ECVs-specific evidence. Characterization of ECVs has also recently seen many advances with the use of Nanoparticle Tracking Analysis, flow cytometry, cryo-electron microscopy instruments, and proteomic technologies. In this review, we discuss the latest developments in translational technologies involving characterization methods including the facts in their support and the challenges they face. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
United States | 2 | <1% |
South Africa | 1 | <1% |
India | 1 | <1% |
Brazil | 1 | <1% |
New Zealand | 1 | <1% |
Turkey | 1 | <1% |
Japan | 1 | <1% |
Denmark | 1 | <1% |
Other | 0 | 0% |
Unknown | 249 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 55 | 21% |
Student > Ph. D. Student | 52 | 20% |
Student > Master | 31 | 12% |
Student > Bachelor | 29 | 11% |
Student > Doctoral Student | 12 | 5% |
Other | 41 | 16% |
Unknown | 40 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 54 | 21% |
Biochemistry, Genetics and Molecular Biology | 48 | 18% |
Medicine and Dentistry | 41 | 16% |
Engineering | 19 | 7% |
Chemistry | 12 | 5% |
Other | 37 | 14% |
Unknown | 49 | 19% |