Nanomechanical characterization of exosomes and concomitant nanoparticles from blood plasma by PeakForce AFM in liquid.

BACKGROUND: To date, EVs characterization techniques are extremely diverse. The contribution of AFM, in particular, is often confined to size distribution. While AFM provides a unique possibility to carry out measurements in situ, nanomechanical characterization of EVs is still missing. METHODS: Blood plasma EVs were isolated by ultracentrifugation, analyzed by flow cytometry and NTA. Followed by cryo-EM, we applied PeakForce AFM to assess morphological and nanomechanical properties of EVs in liquid. RESULTS: Nanoparticles were subdivided by their size estimated for their suspended state into sub-sets of small S1-EVs (< 30 nm), S2-EVs (30-50 nm), and sub-set of large ones L-EVs (50-170 nm). Non-membranous S1-EVs were distinguished by higher Young's modulus (10.33(7.36;15.25) MPa) and were less deformed by AFM tip (3.6(2.8;4.4) nm) compared to membrane exosomes S2-EVs (6.25(4.52;8.24) MPa and 4.8(4.3;5.9) nm). L-EVs were identified as large membrane exosomes, heterogeneous by their nanomechanical properties (22.43(8.26;53.11) MPa and 3.57(2.07;7.89) nm). Nanomechanical mapping revealed a few non-deformed L-EVs, of which Young's modulus rose up to 300 MPa. Taken together with cryo-EM, these results lead us to the suggestion that two or more vesicles could be contained inside a large one being a multilayer vesicle. CONCLUSIONS: We identified particles similar in morphology and showed differences in nanomechanical properties that could be attributed to the features of their inner structure. GENERAL SIGNIFICANCE: Our results further elucidate the identification of EVs and concomitant nanoparticles based on their nanomechanical properties.

Biomechanical Properties of Blood Plasma Extracellular Vesicles Revealed by Atomic Force Microscopy.

While extracellular vesicles (EVs) are extensively studied by various practical applications in biomedicine, there is still little information on their biomechanical properties due to their nanoscale size. We identified isolated blood plasma vesicles that carried on biomarkers associated with exosomes and exomeres and applied atomic force microscopy (AFM) to study them at single particle level in air and in liquid. Air measurements of exosomes revealed a mechanically indented internal cavity in which highly adhesive sites were located. In contrast, the highly adhesive sites of exomeres were located at the periphery and the observed diameter of the particles was ~35 nm. In liquid, the reversible deformation of the internal cavity of exosomes was observed and a slightly deformed lipid bi-layer was identified. In contrast, exomeres were not deformed and their observed diameter was ~16 nm. The difference in diameters might be associated with a higher sorption of water film in air. The parameters we revealed correlated with the well-known structure and function for exosomes and were observed for exomeres for the first time. Our data provide a new insight into the biomechanical properties of nanoparticles and positioned AFM as an exclusive source of in situ information about their biophysical characteristics.

Proteome of Glioblastoma-Derived Exosomes as a Source of Biomarkers.

Extracellular vesicles (EV) are involved in important processes of glioblastoma multiforme (GBM), including malignancy and invasion. EV secreted by glioblastoma cells may cross the hematoencephalic barrier and carry molecular cargo derived from the tumor into the peripheral circulation. Therefore, the determination of the molecular composition of exosomes released by glioblastoma cells seems to be a promising approach for the development of non-invasive methods of the detection of the specific exosomal protein markers in the peripheral blood. The present study aimed to determine the common exosomal proteins presented in preparations from different cell lines and search potential glioblastoma biomarkers in exosomes. We have performed proteomics analysis of exosomes obtained from the conditioned culture medium of five glioblastoma cell lines. A list of 133 proteins common for all these samples was generated. Based on the data obtained, virtual two-dimensional electrophoresis (2DE) maps of proteins presented in exosomes of glioblastoma cells were constructed and the gene ontology (GO) analysis of exosome proteins was performed. A correlation between overexpressed in glial cell proteins and their presence in exosomes have been found. Thus, the existence of many potential glioblastoma biomarkers in exosomes was confirmed.