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Li C, Meng Y, Wang S, Qian M, Wang J, Lu W, Huang R. Mesoporous Carbon Nanospheres Featured Fluorescent Aptasensor for Multiple Diagnosis of Cancer in Vitro and in Vivo. ACS Nano 2015; 9:12096-103. [PMID: 26575351 DOI: 10.1021/acsnano.5b05137] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Multiple diagnosis of cancer by a facile fluorescent sensor is extremely attractive. Herein, a Cy3-labeled ssDNA probe (P0-Cy3) was π-π stacked on the surface of oxidized mesoporous carbon nanospheres (OMCN) to construct the fluorescent "turn-on" aptasensor. Attributing to the intrinsic properties of OMCN, the OMCN-based aptasensor not only can be used to detect mucin1 protein in liquid with a wide range of 0.1-10.6 μmol/L, a low detection limit of 6.52 nmol/L, and good selectivity, but also can quantify the cancer cells in solution with the linear range of 10(4)-2 × 10(6) cells/mL and a detection limit of 8500 cells/mL. Fascinatingly, this OMCN-based aptasensor was exploited to image cancer via solid tissues such as cells, tissue sections, and ex vivo and in vivo tumors, in which the obvious distinguishability between cancer and normal tissues was clearly demonstrated. This is a robust and simple detection technique, which can well achieve the multiple diagnosis of cancer in vitro and in vivo.
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Affiliation(s)
- Chengyi Li
- Department of Pharmaceutics, School of Pharmacy, Key Laboraty of Smart Drug Delivery, Ministry of Education, Fudan University , Shanghai 201203, China
| | - Ying Meng
- Department of Pharmaceutics, School of Pharmacy, Key Laboraty of Smart Drug Delivery, Ministry of Education, Fudan University , Shanghai 201203, China
| | - Shanshan Wang
- Department of Pharmaceutics, School of Pharmacy, Key Laboraty of Smart Drug Delivery, Ministry of Education, Fudan University , Shanghai 201203, China
| | - Min Qian
- Department of Pharmaceutics, School of Pharmacy, Key Laboraty of Smart Drug Delivery, Ministry of Education, Fudan University , Shanghai 201203, China
| | - Jianxin Wang
- Department of Pharmaceutics, School of Pharmacy, Key Laboraty of Smart Drug Delivery, Ministry of Education, Fudan University , Shanghai 201203, China
| | - Weiyue Lu
- Department of Pharmaceutics, School of Pharmacy, Key Laboraty of Smart Drug Delivery, Ministry of Education, Fudan University , Shanghai 201203, China
| | - Rongqin Huang
- Department of Pharmaceutics, School of Pharmacy, Key Laboraty of Smart Drug Delivery, Ministry of Education, Fudan University , Shanghai 201203, China
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