About: Nanoparticle tracking analysis is a research topic. Over the lifetime, 119 publications have been published within this topic receiving 6941 citations.
TL;DR: NTA is a powerful characterization technique that complements DLS and is particularly valuable for analyzing polydisperse nanosized particles and protein aggregates.
Abstract: Purpose
To evaluate the nanoparticle tracking analysis (NTA) technique, compare it with dynamic light scattering (DLS) and test its performance in characterizing drug delivery nanoparticles and protein aggregates.
TL;DR: By combining NTA with fluorescence measurement it is demonstrated that vesicles can be labeled with specific antibody-conjugated quantum dots, allowing their phenotype to be determined, demonstrating that NTA is far more sensitive than conventional flow cytometry.
TL;DR: Enumeration of extracellular vesicles has clinical potential as a biomarker for disease and currently employed techniques detect concentrations ranging from 104 to 1012 vesicle mL–1.
TL;DR: The size of the exosomes decreased at 4°C and 37°C, indicating a structural change or degradation, and multiple ultracentrifugation also did not change theExosome size.
TL;DR: Overall, this study reveals that the choice of EV isolation procedure significantly impacts EV yield from human serum, together with the presence of lipoprotein and protein contaminants.
Abstract: Extracellular vesicles (EVs) are nano-sized vesicles containing nucleic acid and protein cargo that are released from a multitude of cell types and have gained significant interest as potential diagnostic biomarkers. Human serum is a rich source of readily accessible EVs; however, the separation of EVs from serum proteins and non-EV lipid particles represents a considerable challenge. In this study, we compared the most commonly used isolation techniques, either alone or in combination, for the isolation of EVs from 200 µl of human serum and their separation from non-EV protein and lipid particles present in serum. The size and yield of particles isolated by each method was determined by nanoparticle tracking analysis, with the variation in particle size distribution being used to determine the relative impact of lipoproteins and protein aggregates on the isolated EV population. Purification of EVs from soluble protein was determined by calculating the ratio of EV particle count to protein concentration. Finally, lipoprotein particles co-isolated with EVs was determined by Western blot analysis of lipoprotein markers APOB and APOE. Overall, this study reveals that the choice of EV isolation procedure significantly impacts EV yield from human serum, together with the presence of lipoprotein and protein contaminants.