2022
DOI: 10.3390/cells11010146
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Generation of Spike-Extracellular Vesicles (S-EVs) as a Tool to Mimic SARS-CoV-2 Interaction with Host Cells

Abstract: Extracellular vesicles (EVs) and viruses share common features: size, structure, biogenesis and uptake. In order to generate EVs expressing the SARS-CoV-2 spike protein on their surface (S-EVs), we collected EVs from SARS-CoV-2 spike expressing human embryonic kidney (HEK-293T) cells by stable transfection with a vector coding for the S1 and S2 subunits. S-EVs were characterized using nanoparticle tracking analysis, ExoView and super-resolution microscopy. We obtained a population of EVs of 50 to 200 nm in siz… Show more

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Cited by 12 publications
(12 citation statements)
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“…Although there are few publications describing the characterization of HIV/AIDS exosome samples using this platform, it has been used to characterize EVs in the context of other viral infectious diseases such as herpes simplex [ 276 ] and COVID‐19. [ 277 ] This platform was used to characterize EVs from herpes simplex 1 virus (HSV‐1)‐infected patients, by measuring levels of the tetraspanins CD63, CD81, and CD9. [ 276 ] The platform was also used to characterize EV CD9, CD63, and CD81 to support the development of therapeutic approaches for blocking SARS‐CoV‐2 cell binding.…”
Section: Exosome Characterizationmentioning
confidence: 99%
See 1 more Smart Citation
“…Although there are few publications describing the characterization of HIV/AIDS exosome samples using this platform, it has been used to characterize EVs in the context of other viral infectious diseases such as herpes simplex [ 276 ] and COVID‐19. [ 277 ] This platform was used to characterize EVs from herpes simplex 1 virus (HSV‐1)‐infected patients, by measuring levels of the tetraspanins CD63, CD81, and CD9. [ 276 ] The platform was also used to characterize EV CD9, CD63, and CD81 to support the development of therapeutic approaches for blocking SARS‐CoV‐2 cell binding.…”
Section: Exosome Characterizationmentioning
confidence: 99%
“…[ 276 ] The platform was also used to characterize EV CD9, CD63, and CD81 to support the development of therapeutic approaches for blocking SARS‐CoV‐2 cell binding. [ 277 ] The use of the ExoView R100 platform and other novel integrated miniature devices, such as microfluidic systems with plasmonic and electrochemical sensors to analyze exosomes for disease detection and therapeutics research, [ 276 , 277 , 278 ] can minimize the transfer of samples between instruments when multiple exosome characteristics are studied.…”
Section: Exosome Characterizationmentioning
confidence: 99%
“…[49] Following this, many EV researchers performed dSTORMbased imaging of sEVs by labeling the EV canonical markers such as CD9, CD63, CD81, and TSG101 using the corresponding antibodies conjugated with different fluorophores. [50][51][52][53][54][55] Recently, STORM-based imaging was performed to reveal the heterogeneity in EV secretion by human macrophages. [56] The details of all the published studies based on SMLM for EV and their cargo characterization are furnished in Table 1.…”
Section: Smlm For Sev Imagingmentioning
confidence: 99%
“…EVs are ‘pass’ communicators to all parts of the organism and may be forced to carry SARS‐CoV‐2 viral fragments for further distant spread as the ‘prisoners’ (Elrashdy et al., 2020; Elrashdy et al., 2021; Pesce et al., 2022; Pironti et al., 2021) (Figure 5A). For example, SARS‐CoV‐2 RNA fragments can be detected in EVs (Ning et al., 2021), and EVs containing S2 or S1 proteins are more readily taken up by ACE2‐expressing cells (Verta et al., 2022). SARS‐CoV‐2 spike‐derived fragments are present in the exosomes of COVID‐19 patients, but are particularly enriched in mild COVID‐19 patients, and these exosomes can be used as a source of antigen presentation to enhance immune responses and through promote T‐cell activation (Pesce et al., 2022), whereas exosomes from severe COVID‐19 patients may lead to further deterioration of the COVID‐19 illness.…”
Section: Antagonism: Evs Antagonism With Sars‐cov‐2 Inspires Diagnosi...mentioning
confidence: 99%