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Development of a Simple and Rapid Method for In Situ Vesicle Detection in Cultured Media. | LitMetric

Development of a Simple and Rapid Method for In Situ Vesicle Detection in Cultured Media.

J Mol Biol

Laboratory of Biofunctional Design Chemistry, Institute for Chemical Research, Kyoto University, Gokasho, Uji 611-0011, Japan.

Published: November 2020


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Article Abstract

Extracellular membrane vesicles (EMVs) are biogenic secretory lipidic vesicles that play significant roles in intercellular communication related to human diseases and bacterial pathogenesis. They are being investigated for their possible use in diagnosis, vaccines, and biotechnology. However, the existing methods suffer from a number of issues. High-speed centrifugation, a widely used method to collect EMVs, may cause structural artifacts. Immunostaining methods require several steps and thus the separation and detection of EMVs from the secretory cells is time-consuming. Furthermore, detection of EMVs using these methods requires specific and costly antibodies. To tackle these problems, development of a simple and rapid detection method for the EMVs in the cultured medium without separation from the secretory cells is a pressing task. In this study, we focused on the Gram-negative bacterium Shewanella vesiculosa HM13, which produces a large amount of EMVs including a cargo protein with high purity, as a model. Curvature-sensing peptides were used for EMV-detection tools. FAAV, a peptide derived from sorting nexin protein 1, selectively binds to the EMVs even in the presence of the secretory cells in the complex cultured medium. FAAV can fully detect the EMVs within a few minutes, and the resistance of FAAV to proteases enables it to withstand prolonged use in the cultured medium. Fluorescence/Förster resonance energy transfer was used to develop a method to detect changes in the amount of the EMVs with high sensitivity. Overall, our results indicate the potential applicability of FAAV for in situ EMV detection in cultured media.

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http://dx.doi.org/10.1016/j.jmb.2020.09.009DOI Listing

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