4.7 Article

Real-time imaging of multivesicular body-plasma membrane fusion to quantify exosome release from single cells

期刊

NATURE PROTOCOLS
卷 15, 期 1, 页码 102-121

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/s41596-019-0245-4

关键词

-

资金

  1. Dutch Organizations for Scientific Research-Amsterdam Institute for Molecules, Medicines, and Systems STAR Graduate Program [022.005.031]
  2. Dutch Cancer Fund [KWF-5510]
  3. Cancer Center Amsterdam-VU University Medical Center
  4. European Molecular Biology Organization [EMBO ALTF 1383-2014]
  5. Fondation ARC pour la Recherche sur le Cancer fellowship [PJA 20161204808]

向作者/读者索取更多资源

Exosomes are small extracellular vesicles with a diameter of 40-150 nm, and are implicated in cellular homeostasis and cell-cell communication. They can be secreted in bulk in response to cell-extrinsic and cell-intrinsic signals that cause multivesicular body (MVB) fusion with the plasma membrane (PM). However, research on the regulation of exosome release is hampered by the failure of current methods to capture the dynamics of exosome release. Here we describe how live imaging with tetraspanin-based pH-sensitive fluorescent reporters can quantify the MVB-PM fusion rate of single cells. Our approach enables identification of exogenous stimuli, signaling pathways, and fusion complexes, and can map subcellular sites of fusion events. In addition, dual-color imaging can be used to assess simultaneous release of different cargo by MVB exocytosis. This protocol describes the complete imaging experiment, consisting of transient expression of tetraspanin reporters (2 d), live-cell (dual-color) total internal reflection fluorescence microscopy (30-60 min per condition), and semiautomatic image analysis by using a newly developed ImageJ macro (30 min per condition). This protocol describes a collection of pH-sensitive fluorescent reporters that can be used for real-time dual-color imaging of exosome release from single cells. The authors provide detailed instructions for TIRF imaging and automated data analysis.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据