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Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
Published on: March 17, 2023
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Droplet Array-Based Platform for Parallel Optical Analysis of Dynamic Extracellular Vesicle Secretion from Single
Kazuki Hattori1, Yuki Goda1, Minato Yamashita1
1Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan.
Analytical Chemistry
|July 7, 2022
Summary
Single-cell analysis of extracellular vesicle (EV) secretion dynamics reveals significant heterogeneity. A novel droplet array method tracks EV release from individual cells over time, showing cell division enhances secretion.
Area of Science:
- Cell Biology
- Biotechnology
- Intercellular Communication
Background:
- Extracellular vesicles (EVs) are key mediators of intercellular communication.
- Mechanisms regulating heterogeneous EV secretion remain poorly understood due to analytical limitations.
- Current methods struggle to track long-term, single-cell EV secretion dynamics without confounding cell interactions.
Purpose of the Study:
- To develop a method for precise, long-term monitoring of single-cell EV secretion dynamics.
- To investigate the heterogeneity of EV secretion at the single-cell level.
- To explore the relationship between cell division and EV secretion.
Main Methods:
- Development of a droplet array-based platform for single-cell isolation and analysis.
- Optical quantification of EV secretion from individual cells over extended periods (36 hours).
- Monitoring secretion dynamics at high temporal resolution (every 2 hours) for over 300 single cells.
Main Results:
- Demonstrated highly heterogeneous EV secretion patterns across individual cells.
- Quantified EV secretion dynamics over a duration encompassing cell doubling times.
- Observed that cell division appears to facilitate EV secretion.
Conclusions:
- The developed droplet array method enables unprecedented insights into single-cell EV secretion dynamics.
- Findings highlight significant heterogeneity in EV release, challenging bulk analysis assumptions.
- The platform is valuable for discovering novel EV regulatory mechanisms and their link to cell division.

