TY - JOUR
T1 - Rapid Discrimination of Extracellular Vesicles by Shape Distribution Analysis
AU - Ryuzaki, Sou
AU - Yasui, Takao
AU - Tsutsui, Makusu
AU - Yokota, Kazumichi
AU - Komoto, Yuki
AU - Paisrisarn, Piyawan
AU - Kaji, Noritada
AU - Ito, Daisuke
AU - Tamada, Kaoru
AU - Ochiya, Takahiro
AU - Taniguchi, Masateru
AU - Baba, Yoshinobu
AU - Kawai, Tomoji
N1 - Funding Information:
This research is partially supported by the Japan Society for the Promotion of Science (JSPS) through its Funding Program for World-Leading Innovative R&D on Science and Technology and the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Numbers 15H05417, 16H02091, and 17H04803, and JST PRESTO Grant Numbers JPMJPR17HC and JPMJPR151B, Japan. This work is also performed under the Cooperative Research Program of “Dynamic Alliance for Open Innovation Bridging Human, Environment and Materials”.
Publisher Copyright:
© 2021 American Chemical Society.
PY - 2021/5/11
Y1 - 2021/5/11
N2 - 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.
AB - 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.
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U2 - 10.1021/acs.analchem.1c00258
DO - 10.1021/acs.analchem.1c00258
M3 - Article
AN - SCOPUS:85106529811
VL - 93
SP - 7037
EP - 7044
JO - Analytical Chemistry
JF - Analytical Chemistry
SN - 0003-2700
IS - 18
ER -
