| Literature DB >> 32349226 |
Elya Dekel1, Paula Abou Karam1, Yael Ohana-Daniel1, Mirit Biton1, Neta Regev-Rudzki1, Ziv Porat2.
Abstract
Extracellular vesicles (EVs) are cell-derived membrane-bound structures that are believed to play a major role in intercellular communication by allowing cells to exchange proteins and genetic cargo between them. In particular, pathogens, such as the malaria parasite Plasmodium (P.) falciparum, utilize EVs to promote their growth and to alter their host's response. Thus, better characterization of these secreted organelles will enhance our understanding of the cellular processes that govern EVs' biology and pathological functions. Here we present a method that utilizes a high-end flow cytometer system to characterize small EVs, i.e., with a diameter less than 200 nm. Using this method, we could evaluate different parasite-derived EV populations according to their distinct cargo by using antibody-free labeling. It further allows to closely monitor a sub-population of vesicles carrying parasitic DNA cargo. This ability paves the way to conducting a more 'educated' analysis of the various EV cargo components.Entities:
Keywords: Plasmodium falciparum; extracellular vesicles; flow cytometry; malaria
Year: 2020 PMID: 32349226 PMCID: PMC7277110 DOI: 10.3390/biomedicines8050098
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Figure 1Detection of nanoparticles using the ZE5 analyzer and NTA analysis. (A) Polystyrene beads of 200 nm (top row, middle panel) and 100 nm (top row, right panel) in diameter were gated according to FSC 405/10 and SSC 488/10 light scattering. The analysis was visualized with a density plot and the gating was performed according to the main population. Rhodamine-PE large unilamellar vesicles (LUVs) were detected according to FSC 405/10 and the Rhodamine distribution. A PBS sample was used as control for undetected particles. (B) Nanoparticle tracking analysis (NTA) (Malvern Instruments Ltd., Nanosight NS300) was performed at 20 °C on Rho-LUVs and EVs to determine the concentration and size. Sample size distributions were calibrated in a liquid suspension (1:1000 dilution) by the analysis of Brownian motion via light scattering. The camera level was set to 13 and the gain to 1, laser 405 nm or 488 nm without filter.
Figure 2Detection of different types and amounts of Pf-derived EV cargo using the ZE5 analyzer. (A) Pf-derived EVs were stained using three different dyes to visualize different types of cargo components: proteins with the CFSE marker (top row), nucleic acids with the HO marker (middle row), and lipids with the PKH26 marker (bottom row). As controls, solutions containing free dye or unstained EVs were used. (B) Detection of different Pf-derived EV concentrations was achieved by diluting the EVs with the same dye (PKH26 and HO) amount. On the left: high concentration (8 × 1011 par/mL); in the center and on the right: lower concentrations of EVs.
Figure 3Detection of different subpopulations of Pf-derived EVs using the ZE5 analyzer. (A) Top row: Mixed population of Pf-derived EVs (ring and trophozoite) stained with HO. Gating was done according to the unstained EVs. Bottom row: medium-derived ‘EVs’ were used as a control for absence of DNA content. (B) Pf-derived EVs from different parasite stages (ring and trophozoite) were stained with HO to visualize the DNA inside the EVs. Gating was done according to the unstained EV population.