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Rapid and accurate analysis of stem cell-derived extracellular vesicles with super resolution microscopy and live imaging

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posted on 2018-10-15, 13:53 authored by Zubair Nizamudeen, Robert Markus, Rhys Lodge, Christopher Parmenter, Mark PlattMark Platt, Lisa Chakrabarti, Virginie Sottile
Extracellular vesicles (EVs) have prevalent roles in cancer biology and regenerative medicine. Conventional techniques for characterising EVs including electron microscopy (EM), nanoparticle tracking analysis (NTA) and tuneable resistive pulse sensing (TRPS), have been reported to produce high variability in particle count (EM) and poor sensitivity in detecting EVs below 50 nm in size (NTA and TRPS), making accurate and unbiased EV analysis technically challenging. This study introduces direct stochastic optical reconstruction microscopy (d-STORM) as an efficient and reliable characterisation approach for stem cell-derived EVs. Using a photo-switchable lipid dye, d-STORM imaging enabled rapid detection of EVs down to 20–30 nm in size with higher sensitivity and lower variability compared to EM, NTA and TRPS techniques. Imaging of EV uptake by live stem cells in culture further confirmed the potential of this approach for downstream cell biology applications and for the analysis of vesicle-based cell-cell communication.

Funding

This work was supported by the Biotechnology and Biological Sciences Research Council [grant number BBSRC BB/L013827/1] and the Engineering and Physical Sciences Research Council [grant number EPSRC EP/K005138/1].

History

School

  • Science

Department

  • Chemistry

Published in

Biochimica et Biophysica Acta (BBA) - Molecular Cell Research

Volume

1865

Issue

12

Citation

NIZAMUDEEN, Z. ... et al, 2018. Rapid and accurate analysis of stem cell-derived extracellular vesicles with super resolution microscopy and live imaging. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, 1865 (12), pp.1891-1900.

Publisher

Elsevier © The Author(s)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Acceptance date

2018-09-23

Publication date

2018-10-02

Notes

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

ISSN

0167-4889

Language

  • en

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