Abstract
Since the delivery kinetics of different cell types are different, the signal from the target cell is greatly affected by the noise signal of the diagnostic system. This is a major obstacle hindering the practical application of intracellular diagnostic systems, such as tumor heterogeneity. To address these issues, here we present a microRNA detection platform using fluorescence-encoded nanostructured DNA-based probes. The nanostructured DNA was designed to include molecular beacons for detecting cytosolic microRNA as well as additional fluorophores. When the intracellular diagnostic system is delivered, fluorescence signals are generated by the molecular beacons, depending on the concentration of the target microRNA. The fluorescence signals are then normalized to the intensity of the additional fluorophore. Through this simple calculation, the concentration of intracellular microRNA can be determined without interference from the diagnosis system itself. And also it enabled discrimination of microRNA expression heterogeneity in five different breast cancer cell lines.
Original language | English |
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Article number | 13499 |
Journal | Scientific reports |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2017 Dec 1 |
Bibliographical note
Funding Information:This work was supported by grants from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (grant no. HI16C1984), from the Basic Science Research Programs through the National Research Foundation of Korea (NRF) funded by the Ministry of Science ICT and Future Planning (grant no. 2015R1A2A2A01007843), from the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant nos. 2016R1D1A1B03931270, and 2017R1D1A1B03027897), and from the Postdoctoral Research Program of Sungkyunkwan University (2017).
Publisher Copyright:
© 2017 The Author(s).
All Science Journal Classification (ASJC) codes
- General