Title |
Cancer Cell Discrimination Using Host–Guest “Doubled” Arrays
|
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Published in |
Journal of the American Chemical Society, June 2017
|
DOI | 10.1021/jacs.7b03657 |
Pubmed ID | |
Authors |
Ngoc D. B. Le, Gulen Yesilbag Tonga, Rubul Mout, Sung-Tae Kim, Marcos E. Wille, Subinoy Rana, Karen A. Dunphy, D. Joseph Jerry, Mahdieh Yazdani, Rajesh Ramanathan, Caren M. Rotello, Vincent M. Rotello |
Abstract |
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 (CB[7]) and the cationic headgroup of a gold nanoparticle (AuNP) to non-covalently modify the binding of three fluorescent proteins of a multichannel 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 78 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 21% |
Researcher | 12 | 15% |
Student > Master | 10 | 13% |
Student > Doctoral Student | 5 | 6% |
Student > Bachelor | 5 | 6% |
Other | 10 | 13% |
Unknown | 20 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 30 | 38% |
Biochemistry, Genetics and Molecular Biology | 7 | 9% |
Materials Science | 4 | 5% |
Engineering | 4 | 5% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 8 | 10% |
Unknown | 23 | 29% |