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To study the inhomogeneity within a cell population including exosomes properties such as exosome secretion rate of cells and surface markers carried by exosomes, we need to quantify and characterize those exosomes secreted by each individual cell. Here we develop a method to collect and analyze exosomes secreted by an array of single cells using antibody-modified glass slides that are position-registered to each single cell. After each collection, anti-body conjugated quantum dots are used to label exosomes to allow counting and analysis of exosome surface proteins. Detailed studies of exosome properties related to cell behaviors such as responses to drugs and stress at single cell resolution can be found in the publication (Chiu et al., 2016).
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[Abstract] To study the inhomogeneity within a cell population including exosomes properties such as exosome secretion rate of cells and surface markers carried by exosomes, we need to quantify and characterize those exosomes secreted by each individual cell. Here we develop a method to collect and analyze exosomes secreted by an array of single cells using antibody-modified glass slides that are position-registered to each single cell. After each collection, anti-body conjugated quantum dots are used to label exosomes to allow counting and analysis of exosome surface proteins. Detailed studies of exosome properties related to cell behaviors such as responses to drugs and stress at single cell resolution can be found in the publication (Chiu et al., 2016).
Keywords: Single cell, Exosome, Single-cell assay, Exosome secretion, Exosome quantification, Single cell arrays, Single cell culture
[Background] Exosomes have been found to play an essential role in tumorigenesis, cell-cell signaling, organotropic metastasis, drug resistance, and many crucial biological processes involving cell-cell communications. Most exosome isolation methods developed to date use ultracentrifugation at 100,000 x g (Théry et al., 2006) and require a large amount of samples. Combinations of microfluidics with immunological separation or physical trap have been reported (Liga et al., 2015) as simpler exosome isolation methods requiring a relatively small amount of sample. However, most microfluidic platforms have difficulties in integration of standard cell culture protocols, while cell culture in microfluidic environments can introduce new variables and unintended stresses to cells and change their behaviors and gene expressions. Above all, all existing approaches collect exosomes from cells without distinction, so it is extremely difficult to trace exosomes to the cells that secrete them. However, given the high diversity and inhomogeneity of biological samples, it is of great value to correlate the exosomes to the cell source. Furthermore, it is highly desirable to quantify the exosome analysis at a single cell level by finding the changes in exosome properties and secretion rates when cells are affected by stimuli, stresses and/or environmental changes. Here we provide a culture friendly, high-throughput, and versatile single-cell assay that enables quantitative analysis of exosomes secreted by individual cells.
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Data analysis
Where, R: Single cell exosome secretion rate, N: Number of Q-dots in the exosome collection slide area corresponding to the cell position, Nn: Noise level, C: Cell number in one site, T: Exosome collection time. We only imaged the sites that contain a single cell initially. If the cell divided during the experiment, we assumed the same exosome secretion rate for all the cells in the site.
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Acknowledgments
We acknowledge the article of journal publication on Small 2016, 12 (27), page 3658-3666. This protocol is modified from the experimental section of this Small article. The authors acknowledge the technical support of the staff of the San Diego Nanotechnology Infrastructure (SDNI), which is part of the National Nanotechnology Coordinated Infrastructure (NNCI). Research reported in this publication was supported by the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health under award number R21GM107977 and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health under Award Number R43EB021129. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Yu-Hwa Lo has an equity interest in Nanocellect, Inc., a company that may potentially benefit from the research results. He is a co-founder of the company and a member of the company’s Scientific and Advisory Board.
References
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