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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Tumor-derived extracellular vesicles (EVs) have become important biomarkers of liquid biopsies for precision medicine. However, the clinical application of EVs has been limited due to the lack of EV isolation practical technology applicable to clinical environments. Here, we report an innovative EV isolation method, which is quick and simple, and facilitates high-yield and high-purity EV isolation from blood. Introducing a cationic polymer in plasma resulted in rapid clustering of anionic EVs and a chaotropic agent can separate EVs from these clusters. Isolated EVs were characterized in terms of size distribution, morphology, surface protein markers, and exosomal RNA. Through performance comparison with various methods, including ultracentrifugation (UC), the present method delivered the highest recovery rate (~20 folds that of UC) and purity ratio (3.5 folds that of UC) of EVs in a short period of time (<20 min). The proposed method is expected to be used in basic and applied research on EV isolation and in clinical applications.

Details

Title
Rapid and Efficient Isolation of Exosomes by Clustering and Scattering
Author
Kim, Jinhyun 1 ; Lee, Hoyoon 1 ; Park, KyongHwa 2 ; Shin, Sehyun 3 

 School of Mechanical engineering, Korea University, Seoul 02841, Korea; [email protected] (J.K.); [email protected] (H.L.) 
 Department of Internal Medicine, Anam Hospital, Korea University, Seoul 02841, Korea; [email protected]; Engineering Research Center for Biofluid Biopsy, Seoul 02841, Korea 
 School of Mechanical engineering, Korea University, Seoul 02841, Korea; [email protected] (J.K.); [email protected] (H.L.); Engineering Research Center for Biofluid Biopsy, Seoul 02841, Korea 
First page
650
Publication year
2020
Publication date
2020
Publisher
MDPI AG
e-ISSN
20770383
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2641069171
Copyright
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.