posted on 2023-11-30, 12:36authored byTingjun Cheng, Benson K. Kosgei, Geofrey F. Soko, Stephene S. Meena, Tong Li, Qianan Cao, Zhe Zhao, Samuel K. S. Cheng, Qingjun Liu, Fang Wang, Genhua Zhu, Ray P. S. Han
Extracellular
vesicles (EVs) are used by living cells for the purpose
of biological information trafficking from parental-to-recipient cells
and vice versa. This back-and-forth communication is enabled by two
distinct kinds of biomolecules that constitute the cargo of an EV:
proteins and nucleic acids. The proteomic-cum-genetic
information is mediated by the physiological state of a cell (healthy
or otherwise) as much as modulated by the biogenesis pathway of the
EV. Therefore, in mirroring the huge diversities of human communications,
the proteins and nucleic acids involved in cell communications possess
seemingly near limitless diversities, and it is this characteristic
that makes EVs so highly heterogeneous. Currently, there is no simple
and reliable tool for the selective capture of heterogeneous EVs and
the delivery of their undamaged cargo for research in extracellular
protein mapping and spatial proteomics studies. Our work is a preliminary
attempt to address this issue. We demonstrated our approach by using
antibody functionalized liposomes to capture EVs from tumor and healthy
cell-lines. To characterize their performance, we presented fluorescence
and nanoparticle tracking analysis (NTA) results, TEM images, and
Western blotting analysis for EV proteins. We also extracted dermal
interstitial fluid (ISF) from healthy individuals and used our functionalized
synthetic vesicle (FSV) method to capture EVs from their proteins.
We constructed three proteomic sets [EV vs ISF, (FSV+EV) vs ISF, and
(FSV+EV) vs EV] from the EV proteins and the free proteins harvested
from ISF and compared their differentially expressed proteins (DEPs).
The performance of our proposed method is assessed via an analysis
of 1095 proteins, together with volcano plots, heatmap, GO annotation,
and enriched KEGG pathways and organelle localization results of 213
DEPs.