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Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry
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Cargo and cell-specific differences in extracellular vesicle populations identified by multiplexed immunofluorescent
Kevin Burbidge1, Virginia Zwikelmaier2, Ben Cook2
1Graduate Program in Neuroscience, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Journal of Extracellular Vesicles
|September 18, 2020
Summary
This study introduces a novel imaging method for detailed single-vesicle analysis of extracellular vesicles (EVs). This technique allows for comprehensive characterization of diverse EV populations using small samples, aiding disease biomarker discovery.
Area of Science:
- Biochemistry
- Cell Biology
- Biotechnology
Background:
- Extracellular vesicles (EVs) play roles in biological processes and disease pathogenesis.
- Current EV characterization methods often overlook population heterogeneity and require large sample sizes.
- EVs are promising biomarkers for disease diagnosis in humans and animals.
Purpose of the Study:
- To develop and validate an imaging-based method for multiplexed, single-EV analysis.
- To characterize EV heterogeneity regarding canonical markers and cargo.
- To investigate EV glycan content changes in response to cellular pathway modulation.
Main Methods:
- Centrifugation of EVs directly onto cover slips for direct imaging.
- Multiplexed fluorescent microscopy for single-EV characterization.
- Lectin binding assays to assess EV glycan profiles.
Main Results:
- Canonical EV markers are found on distinct EV subsets, varying by producer cell and cargo.
- EVs containing different HIV-1 proteins exhibit specific marker profiles.
- Pharmacological modulation of secretory autophagy alters EV glycan content.
Conclusions:
- Multiplexed imaging analysis reveals specific EV population differences.
- This method enhances understanding of EV biogenesis and facilitates targeted EV subset interrogation.
- The approach offers a powerful tool for analyzing complex EV populations in biological samples.
Keywords:
EVsHIV-1co-localization analysisexosomesextracellular vesicleslectinslysophagymicroscopymicrovesiclesunconventional secretion
