Cancer Cell Discrimination Using Host-Guest "Doubled" Arrays.

Autor: Le NDB, Yesilbag Tonga G, Mout R, Kim ST; Department of Pharmaceutical Engineering, Inje University , 197, Inje-ro, Gimhae-si, Gyeongsangnam-do 621-749, Republic of Korea., Wille ME, Rana S; Department of Materials, Imperial College London , South Kensington Campus, London SW7 2AZ, U.K., Dunphy KA, Jerry DJ, Yazdani M, Ramanathan R; Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Sciences, RMIT University GPO Box 2476 V, Melbourne, Victoria 3001, Australia., Rotello CM, Rotello VM
Jazyk: angličtina
Zdroj: Journal of the American Chemical Society [J Am Chem Soc] 2017 Jun 14; Vol. 139 (23), pp. 8008-8012. Date of Electronic Publication: 2017 Jun 01.
DOI: 10.1021/jacs.7b03657
Abstrakt: We report a nanosensor that uses cell lysates to rapidly profile the tumorigenicity of cancer cells. This sensing platform uses host-guest interactions between cucurbit[7]uril and the cationic headgroup of a gold nanoparticle to non-covalently modify the binding of three fluorescent proteins of a multi-channel sensor in situ. This approach doubles the number of output channels to six, providing single-well identification of cell lysates with 100% accuracy. Significantly, this classification could be extended beyond the training set, determining the invasiveness of novel cell lines. The unique fingerprint of these cell lysates required minimal sample quantity (200 ng, ∼1000 cells), making the methodology compatible with microbiopsy technology.
Databáze: MEDLINE