TY - JOUR
T1 - Rapid and efficient isolation platform for plasma extracellular vesicles
T2 - EV-FISHER
AU - Pan, Wei-Lun
AU - Feng, Jun-Jie
AU - Luo, Ting-Ting
AU - Tan, Yong
AU - Situ, Bo
AU - Nieuwland, Rienk
AU - Guo, Jing-Yun
AU - Liu, Chun-Chen
AU - Zhang, Han
AU - Chen, Jing
AU - Zhang, Wen-Hua
AU - Chen, Jun
AU - Chen, Xian-Hua
AU - Chen, Hong-Yue
AU - Zheng, Lei
AU - Chen, Jin-Xiang
AU - Li, Bo
N1 - Funding Information:
The authors thank K. Y. Wu, L. Y. Zhai, Y. Chen and X. X. Ge from Southern Medical University and W. Yin from Sun Yat‐Sen University for their assistance in the experiments. We thank the technical supports from central laboratory of Southern Medical University. We are grateful for financial support from the National Science Fund for Distinguished Young Scholars (82025024), Key Project of the National Natural Science Foundation of China (82230080), the National Natural Science Foundation of China (81871735, 81672076, 21874064, 82172371), Science and Technology Program of Guangzhou (201904010410, 202102020595), the Natural Science Foundation from Guangdong Science and Technology Department of China (2018A030313456, 2019A1515011077), Outstanding Youths Development Scheme of Nanfang Hospital, Southern Medical University (2020J007). the Medical Science and Technology Research Foundation of Guangdong Province (A2017326), Subproject of National Key R&D Project of Ministry of Science and Technology (2021YFA1300604). We thank the Shanghai Luming Biological Technology Co., LTD (Shanghai, China) for their enthusiastic support of this proteomics analysis. We also thank Guangzhou Sagene Biotech Co., Ltd. for the assistance in the prepraration of the scheme.
Funding Information:
The authors thank K. Y. Wu, L. Y. Zhai, Y. Chen and X. X. Ge from Southern Medical University and W. Yin from Sun Yat-Sen University for their assistance in the experiments. We thank the technical supports from central laboratory of Southern Medical University. We are grateful for financial support from the National Science Fund for Distinguished Young Scholars (82025024), Key Project of the National Natural Science Foundation of China (82230080), the National Natural Science Foundation of China (81871735, 81672076, 21874064, 82172371), Science and Technology Program of Guangzhou (201904010410, 202102020595), the Natural Science Foundation from Guangdong Science and Technology Department of China (2018A030313456, 2019A1515011077), Outstanding Youths Development Scheme of Nanfang Hospital, Southern Medical University (2020J007). the Medical Science and Technology Research Foundation of Guangdong Province (A2017326), Subproject of National Key R&D Project of Ministry of Science and Technology (2021YFA1300604). We thank the Shanghai Luming Biological Technology Co., LTD (Shanghai, China) for their enthusiastic support of this proteomics analysis. We also thank Guangzhou Sagene Biotech Co., Ltd. for the assistance in the prepraration of the scheme.
Publisher Copyright:
© 2022 The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles.
PY - 2022/11/1
Y1 - 2022/11/1
N2 - Extracellular vesicles (EVs) have found diverse applications in clinical theranostics. However, the current techniques to isolate plasma EVs suffer from burdensome procedures and limited yield. Herein, we report a rapid and efficient EV isolation platform, namely, EV-FISHER, constructed from the metal-organic framework featuring cleavable lipid probes (PO43−-spacer-DNA-cholesterol, PSDC). The EV-FISHER baits EVs from plasma by cholesterol and separates them with an ordinary centrifuge. The captured EVs could be released and collected upon subsequent cleavage of PSDC by deoxyribonuclease I. We conclude that EV-FISHER dramatically outperforms the ultracentrifugation (UC) in terms of time (∼40 min vs. 240 min), isolation efficiency (74.2% vs. 18.1%), and isolation requirement (12,800 g vs. 135,000 g). In addition to the stable performance in plasma, EV-FISHER also exhibited excellent compatibility with downstream single-EV flow cytometry, enabling the identification of glypican-1 (GPC-1) EVs for early diagnosis, clinical stages differentiation, and therapeutic efficacy evaluation in breast cancer cohorts. This work portrays an efficient strategy to isolate EVs from complicated biological fluids with promising potential to facilitate EVs-based theranostics.
AB - Extracellular vesicles (EVs) have found diverse applications in clinical theranostics. However, the current techniques to isolate plasma EVs suffer from burdensome procedures and limited yield. Herein, we report a rapid and efficient EV isolation platform, namely, EV-FISHER, constructed from the metal-organic framework featuring cleavable lipid probes (PO43−-spacer-DNA-cholesterol, PSDC). The EV-FISHER baits EVs from plasma by cholesterol and separates them with an ordinary centrifuge. The captured EVs could be released and collected upon subsequent cleavage of PSDC by deoxyribonuclease I. We conclude that EV-FISHER dramatically outperforms the ultracentrifugation (UC) in terms of time (∼40 min vs. 240 min), isolation efficiency (74.2% vs. 18.1%), and isolation requirement (12,800 g vs. 135,000 g). In addition to the stable performance in plasma, EV-FISHER also exhibited excellent compatibility with downstream single-EV flow cytometry, enabling the identification of glypican-1 (GPC-1) EVs for early diagnosis, clinical stages differentiation, and therapeutic efficacy evaluation in breast cancer cohorts. This work portrays an efficient strategy to isolate EVs from complicated biological fluids with promising potential to facilitate EVs-based theranostics.
KW - cholesterol
KW - extracellular vesicles
KW - isolation
KW - metal-organic framework
KW - theranostics
UR - https://www.scopus.com/pages/publications/85142402056
U2 - 10.1002/jev2.12281
DO - 10.1002/jev2.12281
M3 - Article
C2 - 36404468
SN - 2001-3078
VL - 11
JO - Journal of extracellular vesicles
JF - Journal of extracellular vesicles
IS - 11
M1 - e12281
ER -
SDG 3 Good Health and Well-being