Characterization of extracellular vesicles and synthetic nanoparticles with four orthogonal single-particle analysis platforms.


Journal

Journal of extracellular vesicles
ISSN: 2001-3078
Titre abrégé: J Extracell Vesicles
Pays: United States
ID NLM: 101610479

Informations de publication

Date de publication:
04 2021
Historique:
received: 05 08 2020
revised: 04 03 2021
accepted: 05 03 2021
entrez: 14 4 2021
pubmed: 15 4 2021
medline: 15 4 2021
Statut: ppublish

Résumé

We compared four orthogonal technologies for sizing, counting, and phenotyping of extracellular vesicles (EVs) and synthetic particles. The platforms were: single-particle interferometric reflectance imaging sensing (SP-IRIS) with fluorescence, nanoparticle tracking analysis (NTA) with fluorescence, microfluidic resistive pulse sensing (MRPS), and nanoflow cytometry measurement (NFCM). EVs from the human T lymphocyte line H9 (high CD81, low CD63) and the promonocytic line U937 (low CD81, high CD63) were separated from culture conditioned medium (CCM) by differential ultracentrifugation (dUC) or a combination of ultrafiltration (UF) and size exclusion chromatography (SEC) and characterized by transmission electron microscopy (TEM) and Western blot (WB). Mixtures of synthetic particles (silica and polystyrene spheres) with known sizes and/or concentrations were also tested. MRPS and NFCM returned similar particle counts, while NTA detected counts approximately one order of magnitude lower for EVs, but not for synthetic particles. SP-IRIS events could not be used to estimate particle concentrations. For sizing, SP-IRIS, MRPS, and NFCM returned similar size profiles, with smaller sizes predominating (per power law distribution), but with sensitivity typically dropping off below diameters of 60 nm. NTA detected a population of particles with a mode diameter greater than 100 nm. Additionally, SP-IRIS, MRPS, and NFCM were able to identify at least three of four distinct size populations in a mixture of silica or polystyrene nanoparticles. Finally, for tetraspanin phenotyping, the SP-IRIS platform in fluorescence mode was able to detect at least two markers on the same particle, while NFCM detected either CD81 or CD63. Based on the results of this study, we can draw conclusions about existing single-particle analysis capabilities that may be useful for EV biomarker development and mechanistic studies.

Identifiants

pubmed: 33850608
doi: 10.1002/jev2.12079
pii: JEV212079
pmc: PMC8023330
doi:

Substances chimiques

Biomarkers 0
Polystyrenes 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Pagination

e12079

Subventions

Organisme : NIMH NIH HHS
ID : R33 MH118164
Pays : United States
Organisme : NCI NIH HHS
ID : UG3 CA241694
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI144997
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA040385
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA047807
Pays : United States
Organisme : NIMH NIH HHS
ID : R21 MH118164
Pays : United States

Informations de copyright

© 2021 The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles.

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Auteurs

Tanina Arab (T)

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

Emily R Mallick (ER)

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

Yiyao Huang (Y)

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

Liang Dong (L)

Department of Urology Johns Hopkins University School of Medicine Baltimore Maryland USA.

Zhaohao Liao (Z)

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

Zezhou Zhao (Z)

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

Olesia Gololobova (O)

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

Barbara Smith (B)

Department of Cell Biology Johns Hopkins University School of Medicine Baltimore Maryland USA.

Norman J Haughey (NJ)

Department of Neurology Johns Hopkins University School of Medicine Baltimore Maryland USA.

Kenneth J Pienta (KJ)

Department of Urology Johns Hopkins University School of Medicine Baltimore Maryland USA.

Barbara S Slusher (BS)

Department of Neurology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Johns Hopkins Drug Discovery Johns Hopkins University School of Medicine Baltimore Maryland USA.

Patrick M Tarwater (PM)

Department of Epidemiology Johns Hopkins University Bloomberg School of Public Health Baltimore Maryland USA.

Juan Pablo Tosar (JP)

Faculty of Science Universidad de la República Montevideo Uruguay.
Functional Genomics Unit Institut Pasteur de Montevideo Montevideo Uruguay.

Angela M Zivkovic (AM)

Department of Nutrition University of California Davis Davis California USA.

Wyatt N Vreeland (WN)

Bioprocess Measurements Group National Institute of Standards and Technology Gaithersburg Maryland USA.

Michael E Paulaitis (ME)

Center for Nanomedicine at the Wilmer Eye Institute Johns Hopkins University School of Medicine Baltimore Maryland USA.

Kenneth W Witwer (KW)

Department of Molecular and Comparative Pathobiology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Department of Neurology Johns Hopkins University School of Medicine Baltimore Maryland USA.
The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease Johns Hopkins University School of Medicine Johns Hopkins Medicine and Johns Hopkins Bayview Medical Center Baltimore Maryland USA.

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