Cell Type Dependent Uptake of Extracellular Vesicles Independent of Cellular Origin
MAMAND, D. R. A.
Show abstract
Extracellular vesicles (EVs) are promising nanocarriers for therapeutic delivery; however, the factors governing EV uptake by recipient cells remain incompletely understood. In this study, we investigated whether EV internalization is primarily influenced by donor-cell origin or recipient-cell phenotype. Fluorescently labeled EVs derived from HEK293T, or SKBR-3 cells were incubated with a range of human epithelial, immune, and murine cancer cell lines at different doses and time points. HEK293T-derived EVs showed highly variable uptake across recipient cells, with hepatocellular carcinoma cell lines Huh7 and HepG2 exhibiting the highest internalization, while parental HEK293T cells showed the lowest. THP-1 immune cells also demonstrated strong uptake, whereas Jurkat cells showed moderate uptake. In murine melanoma models, Yummer cells internalized more EVs than B16F10 cells. Importantly, similar uptake trends were observed using SKBR-3-derived EVs, where Huh7 and HepG2 again displayed the highest uptake despite originating from a different donor cell source. EV internalization increased with dose and incubation time until saturation at higher concentrations. Together, these results demonstrate that EV uptake is predominantly determined by recipient-cell characteristics rather than EV source. These findings provide important mechanistic insight for the development of EV-based therapeutics and suggest that optimizing recipient-cell targeting is essential for efficient vesicle-mediated delivery. Graphical abstractEV uptake is determined by cell membrane properties rather than by the source of the EVs. The image was created by Biorender. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/726167v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@f5c1cborg.highwire.dtl.DTLVardef@860962org.highwire.dtl.DTLVardef@1d20239org.highwire.dtl.DTLVardef@9003af_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 4 journals account for 50% of the predicted probability mass.