Volume 57, Issue 48 pp. 15675-15680
Communication

A Single Extracellular Vesicle (EV) Flow Cytometry Approach to Reveal EV Heterogeneity

Dr. Wen Shen

Dr. Wen Shen

University of California—Riverside, Department of Chemistry, Riverside, CA, 92521 USA

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Kaizhu Guo

Kaizhu Guo

University of California—Riverside, Department of Chemistry, Riverside, CA, 92521 USA

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Gary Brent Adkins

Gary Brent Adkins

University of California—Riverside, Department of Chemistry, Riverside, CA, 92521 USA

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Qiaoshi Jiang

Qiaoshi Jiang

University of California—Riverside, Environmental Toxicology Program, Riverside, CA, 92521 USA

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Yang Liu

Yang Liu

University of California—Riverside, Environmental Toxicology Program, Riverside, CA, 92521 USA

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Sabrina Sedano

Sabrina Sedano

University of California—Riverside, Department of Chemistry, Riverside, CA, 92521 USA

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Yaokai Duan

Yaokai Duan

University of California—Riverside, Department of Chemistry, Riverside, CA, 92521 USA

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Dr. Wei Yan

Dr. Wei Yan

University of California—San Diego, Department of Pathology, La Jolla, CA, 92093 USA

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Prof. Shizhen Emily Wang

Prof. Shizhen Emily Wang

University of California—San Diego, Department of Pathology, La Jolla, CA, 92093 USA

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Kristina Bergersen

Kristina Bergersen

University of California—Riverside, Division of Biomedical Sciences, Riverside, CA, 92521 USA

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Dr. Danielle Worth

Dr. Danielle Worth

University of California—Riverside, Division of Biomedical Sciences, Riverside, CA, 92521 USA

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Prof. Emma H. Wilson

Prof. Emma H. Wilson

University of California—Riverside, Division of Biomedical Sciences, Riverside, CA, 92521 USA

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Prof. Wenwan Zhong

Corresponding Author

Prof. Wenwan Zhong

University of California—Riverside, Department of Chemistry, Riverside, CA, 92521 USA

University of California—Riverside, Environmental Toxicology Program, Riverside, CA, 92521 USA

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First published: 06 October 2018
Citations: 130

Graphical Abstract

Single extracellular vesicle (EV) flow cytometry analysis enabled by target-initiated engineering (TIE) of DNA nanostructures reveals unique molecular signatures of individual vesicles and differentiates EV sub-populations.

Abstract

Extracellular vesicles (EVs) actively participate in intercellular communication and pathological processes. Studying the molecular signatures of EVs is key to reveal their biological functions and clinical values, which, however, is greatly hindered by their sub-100 nm dimensions, the low quantities of biomolecules each EV carries, and the large population heterogeneity. Now, single-EV flow cytometry analysis is introduced to realize single EV counting and phenotyping in a conventional flow cytometer for the first time, enabled by target-initiated engineering (TIE) of DNA nanostructures on each EV. By illuminating multiple markers on single EVs, statistically significant differences are revealed among the molecular signatures of EVs originating from several breast cancer cell lines, and the cancer cell-derived EVs among the heterogeneous EV populations are successfully recognized. Thus, our approach holds great potential for various biological and biomedical applications.

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