期刊
ADVANCED MATERIALS INTERFACES
卷 9, 期 20, 页码 -出版社
WILEY
DOI: 10.1002/admi.202102515
关键词
bladder cancer; branched hybridization chain reaction; miRNA; multiplex detection; photonic barcodes
资金
- 333 project High-level Talent Cultivation Foundation of Jiangsu [BRA2018086]
- Social Development Foundation of Clinical Frontier Technology of Jiangsu [BE2017763]
- Second Affiliated Hospital of Nanjing Medical University Medical Development and Support Fund
- Natural Science Foundation of Anhui province [2008085QH365]
This article introduces a novel multiplex platform for efficient detection of bladder cancer-related microRNAs by integrating photonic crystal barcodes with branched hybridization chain reaction. The platform shows high sensitivity and accuracy, and the results are consistent with conventional detection methods. This method provides a new approach for the clinical diagnosis of bladder cancer.
Bladder cancer is the most common malignant tumor of the urinary system with substantial therapy cost and mortality. Recently, quantification and multiplex detection of circulating microRNAs (miRNAs) from human serum has opened a new avenue for efficient diagnosis of bladder cancer. Herein, a novel multiplex platform is designed toward bladder cancer-related miRNAs detection by integrating photonic crystal (PhC) barcodes with the branched hybridization chain reaction (B-HCR). PhC barcodes possess constant characteristic reflection peaks originating from the highly ordered microstructure and thus exhibit vivid structural colors as the encoding elements. B-HCR is an isothermal enzyme-free amplification strategy on the basis of hybridization chain reaction (HCR), which presents a higher amplification efficiency. By integrating the vivid structural colors of PhC barcodes with the isothermal amplification of B-HCR, this platform shows an acceptable accuracy, reproducibility, and high sensitivity for multiplex detection of low-abundance miRNAs. Moreover, the results are consistent with conventional qRT-PCR in the serum specimens. Therefore, this platform may provide a new approach for the clinical diagnosis of bladder cancer.
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