bioRxiv · 10.1101/2020.02.07.938779
Large extracellular vesicles can be characterised by multiplex labelling using imaging flow cytometry
Abstract
Extracellular vesicles (EVs) are heterogeneous in size (30nm-10{micro}m), content (lipid, RNA, DNA, protein) and potential function(s). Many isolation techniques routinely discard the large EVs at the early stages of small EV or exosome isolation protocols. We describe here a standardised method to isolate large EVs and examine EV marker expression and diameter using imaging flow cytometry. MethodsWe describe step-wise isolation and characterisation of a subset of large EVs from the medulloblastoma cell line UW228-2 assessed by fluorescent light microscopy, transmission electron microscopy (TEM) and TRPS. Viability of parent cells was assessed by Annexin V exposure by flow cytometry. Imaging flow cytometry (Imagestream Mark II) identified EVs by direct fluorescent membrane labelling with Cell Mask Orange (CMO) in conjunction with EV markers. A stringent gating algorithm based on side scatter and fluorescence intensity was applied and expression of EV markers CD63, CD9 and LAMP 1 assessed. ResultsUW228-2 cells prolifically release EVs of up to 6 {micro}m. We show that the Imagestream Mark II imaging flow cytometer allows robust and reproducible analysis of large EVs, including assessment of diameter. We also demonstrate a correlation between increasing EV size and co-expression of markers screened. ConclusionsWe have developed a labelling and stringent gating strategy which is able to explore EV marker expression (CD63, CD9 and LAMP1) on individual EVs within a widely heterogeneous population. Taken together data presented here strongly support the value of exploring large EVs in clinical samples for potential biomarkers, useful in diagnostic screening and disease monitoring.
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Johnson, S. M., Banyard, A., Smith, C., Mironov, A., McCabe, M. G.. 2020-02-07. Large extracellular vesicles can be characterised by multiplex labelling using imaging flow cytometry. https://doi.org/10.1101/2020.02.07.938779
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