We identify the effects of crystallinity and morphology of zinc oxide nanowires grown hydrothermally with ammonia addition on their physicochemical properties for capturing extracellular vesicles.
A rapid
and simple cancer detection method independent of cancer
type is an important technology for cancer diagnosis. Although the
expression profiles of biological molecules contained in cancer cell-derived
extracellular vesicles (EVs) are considered candidates for discrimination
indexes to identify any cancerous cells in the body, it takes a certain
amount of time to examine these expression profiles. Here, we report
the shape distributions of EVs suspended in a solution and the potential
of these distributions as a discrimination index to discriminate cancer
cells. Distribution analysis is achieved by low-aspect-ratio nanopore
devices that enable us to rapidly analyze EV shapes individually in
solution, and the present results reveal a dependence of EV shape
distribution on the type of cells (cultured liver, breast, and colorectal
cancer cells and cultured normal breast cells) secreting EVs. The
findings in this study provide realizability and experimental basis
for a simple method to discriminate several types of cancerous cells
based on rapid analyses of EV shape distributions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.