Literature DB >> 28603750

Quantitative Analysis of Exosome Secretion Rates of Single Cells.

Yu-Jui Chiu1, Wei Cai1, Tiffany Lee2, Julia Kraimer3, Yu-Hwa Lo1,4.   

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).

Entities:  

Keywords:  Exosome; Exosome quantification; Exosome secretion; Single cell; Single cell arrays; Single cell culture; Single-cell assay

Year:  2017        PMID: 28603750      PMCID: PMC5461827          DOI: 10.21769/BioProtoc.2143

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  3 in total

1.  Isolation and characterization of exosomes from cell culture supernatants and biological fluids.

Authors:  Clotilde Théry; Sebastian Amigorena; Graça Raposo; Aled Clayton
Journal:  Curr Protoc Cell Biol       Date:  2006-04

2.  A Single-Cell Assay for Time Lapse Studies of Exosome Secretion and Cell Behaviors.

Authors:  Yu-Jui Chiu; Wei Cai; Yu-Ru V Shih; Ian Lian; Yu-Hwa Lo
Journal:  Small       Date:  2016-06-02       Impact factor: 13.281

Review 3.  Exosome isolation: a microfluidic road-map.

Authors:  A Liga; A D B Vliegenthart; W Oosthuyzen; J W Dear; M Kersaudy-Kerhoas
Journal:  Lab Chip       Date:  2015-06-07       Impact factor: 6.799

  3 in total
  2 in total

1.  A single-cell translocation and secretion assay (TransSeA).

Authors:  Wei Cai; Yu-Jui Chiu; Valya Ramakrishnan; Yihuan Tsai; Clark Chen; Yu-Hwa Lo
Journal:  Lab Chip       Date:  2018-10-09       Impact factor: 6.799

2.  Developing Electron Microscopy Tools for Profiling Plasma Lipoproteins Using Methyl Cellulose Embedment, Machine Learning and Immunodetection of Apolipoprotein B and Apolipoprotein(a).

Authors:  Yvonne Giesecke; Samuel Soete; Katarzyna MacKinnon; Thanasis Tsiaras; Madeline Ward; Mohammed Althobaiti; Tamas Suveges; James E Lucocq; Stephen J McKenna; John M Lucocq
Journal:  Int J Mol Sci       Date:  2020-09-02       Impact factor: 5.923

  2 in total

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