4.8 Article

Rapid enrichment and sensitive detection of extracellular vesicles through measuring the phospholipids and transmembrane protein in a microfluidic chip

Journal

BIOSENSORS & BIOELECTRONICS
Volume 199, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2021.113870

Keywords

Extracellular vesicles; Microfluidic chip; Lipid assay; CD63 aptamer; Electrophoresis

Funding

  1. National Natural Science Foundation of China [21874116, 22174126]

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A strategy and technology were proposed to assess the lipid amount and membrane protein expression of extracellular vesicles, along with the development of a microfluidic platform for effective EVs enrichment and detection.
Extracellular vesicles (EVs) have attracted tremendous attention in recent years and quantification of EVs is a key issue in the evaluation of vesicle-based diagnostics and therapeutic development, but it's quite challenging to determine whether higher protein expression signals are due to larger vesicle amount or higher protein content within each vesicle. To solve this problem, herein, we proposed a strategy based on staining phospholipid bilayers of EVs with lipophilic dyes to evaluate their lipid amount, which was subsequently normalized as an internal standard for studying the expression of transmembrane protein (i.e., CD63) on EVs in different samples. In addition, a microfluidic platform based on electrophoresis technology was invented to effectively enrich and detect EVs. Small fluorescent labeling molecules (i.e., uncombined aptamers) were on-chip removed from EVs without pre-separation via ultracentrifugation or ultrafiltration which were indispensable in nanoparticle tracking analysis (NTA) and flow cytometry techniques and the performance of this assay is comparable to NTA. Finally, it was found obvious difference in the expression of CD63 on EVs before and after normalization based on lipid amount in plasma samples. This method is expected to provide more accurate information when comparing the expression levels of EVs biomarkers in different samples.

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