Comparison of EV characterization by commercial high‐sensitivity flow cytometers and a custom single‐molecule flow cytometer

Author:

Kim James1ORCID,Xu Shihan1,Jung Seung‐Ryoung1,Nguyen Alya1,Cheng Yuanhua1,Zhao Mengxia1,Fujimoto Bryant S.1,Nelson Wyatt1,Schiro Perry2,Franklin Jeffrey L.3,Higginbotham James N.3,Coffey Robert J.34ORCID,Shi Min5,Vojtech Lucia N.6,Hladik Florian678,Tewari Muneesh910111213,Tigges John14,Ghiran Ionita14ORCID,Jovanovic‐Talisman Tijana15,Laurent Louise C.16,Das Saumya17,Gololobova Olesia18ORCID,Witwer Kenneth W.18ORCID,Xu Tuoye1920,Charest Al1920,Jensen Kendall Van Keuren21,Raffai Robert L.22ORCID,Jones Jennifer C.23,Welsh Joshua A.23ORCID,Nolan John P.24,Chiu Daniel T.1

Affiliation:

1. Department of Chemistry University of Washington Seattle Washington USA

2. Micareo Inc Burlingame California USA

3. Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

4. Department of Cell Biology Vanderbilt University Nashville Tennessee USA

5. Department of Pathology University of Washington Seattle Washington USA

6. Department of Obstetrics and Gynecology University of Washington Seattle Washington USA

7. Division of Allergy and Infectious Diseases, Department of Medicine University of Washington Seattle Washington USA

8. Vaccine and Infectious Disease Division Fred Hutchinson Cancer Research Center Seattle Washington USA

9. Division of Hematology/Oncology Department of Internal Medicine University of Michigan Ann Arbor Michigan USA

10. Rogel Comprehensive Cancer Center University of Michigan Ann Arbor Michigan USA

11. Department of Biomedical Engineering University of Michigan Ann Arbor Michigan USA

12. Center for Computational Medicine and Bioinformatics University of Michigan Ann Arbor Michigan USA

13. VA Ann Arbor Healthcare System Ann Arbor Michigan USA

14. Department of Medicine Beth Israel Deaconess Medical Center Boston and Cambridge Massachusetts USA

15. Department of Molecular Medicine Beckman Research Institute of the City of Hope Comprehensive Cancer Center Duarte California USA

16. Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine University of California San Diego San Diego California USA

17. Cardiovascular Research Center, Massachusetts General Hospital Harvard Medical school Boston Massachusetts USA

18. Department of Molecular and Comparative Pathology Johns Hopkins University School of Medicine Baltimore Maryland USA

19. Cancer Research Institute Beth Israel Deaconess Medical Center Boston Massachusetts USA

20. Department of Medicine Harvard Medical School Boston Massachusetts USA

21. Neurogenomics Division TGen Phoenix Arizona USA

22. Department of Veterans Affairs Surgical Service (112G), San Francisco VA Medical Center San Francisco California USA

23. Translational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute National Institutes of Health Bethesda Maryland USA

24. Scintillon Institute San Diego California USA

Abstract

AbstractHigh‐sensitivity flow cytometers have been developed for multi‐parameter characterization of single extracellular vesicles (EVs), but performance varies among instruments and calibration methods. Here we compare the characterization of identical (split) EV samples derived from human colorectal cancer (DiFi) cells by three high‐sensitivity flow cytometers, two commercial instruments, CytoFLEX/CellStream, and a custom single‐molecule flow cytometer (SMFC). DiFi EVs were stained with the membrane dye di‐8‐ANEPPS and with PE‐conjugated anti‐EGFR or anti‐tetraspanin (CD9/CD63/CD81) antibodies for estimation of EV size and surface protein copy numbers. The limits of detection (LODs) for immunofluorescence and vesicle size based on calibration using cross‐calibrated, hard‐dyed beads were ∼10 PE/∼80 nm EV diameter for CytoFLEX and ∼10 PEs/∼67 nm for CellStream. For the SMFC, the LOD for immunofluorescence was 1 PE and ≤ 35 nm for size. The population of EVs detected by each system (di‐8‐ANEPPS+/PE+ particles) differed widely depending on the LOD of the system; for example, CellStream/CytoFLEX detected only 5.7% and 1.5% of the tetraspanin‐labelled EVs detected by SMFC, respectively, and median EV diameter and antibody copy numbers were much larger for CellStream/CytoFLEX than for SMFC as measured and validated using super‐resolution/single‐molecule TIRF microscopy. To obtain a dataset representing a common EV population analysed by all three platforms, we filtered out SMFC and CellStream measurements for EVs below the CytoFLEX LODs as determined by bead calibration (10 PE/80 nm). The inter‐platform agreement using this filtered dataset was significantly better than for the unfiltered dataset, but even better concordance between results was obtained by applying higher cutoffs (21 PE/120 nm) determined by threshold analysis using the SMFC data. The results demonstrate the impact of specifying LODs to define the EV population analysed on inter‐instrument reproducibility in EV flow cytometry studies, and the utility of threshold analysis of SMFC data for providing semi‐quantitative LOD values for other flow cytometers.

Publisher

Wiley

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