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Tumor-associated antigen-specific cell imaging based on upconversion luminescence and nucleic acid rolling circle amplification

Tumor-associated antigen (TAA)–based diagnosis has gained prominence for early tumor screening, treatment monitoring, prognostic assessment, and minimal residual disease detection. However, limitations such as low sensitivity and difficulty in extracting non-specific binding membrane proteins still...

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Bibliographic Details
Published in:Mikrochimica acta (1966) 2024-05, Vol.191 (5), p.248-248, Article 248
Main Authors: Zhan, Ying, Mao, Yichun, Sun, Pei, Liu, Chenbin, Gou, Hongquan, Qi, Haipeng, Chen, Guifang, Hu, Song, Tian, Bo
Format: Article
Language:English
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Summary:Tumor-associated antigen (TAA)–based diagnosis has gained prominence for early tumor screening, treatment monitoring, prognostic assessment, and minimal residual disease detection. However, limitations such as low sensitivity and difficulty in extracting non-specific binding membrane proteins still exist in traditional detection methods. Upconversion luminescence (UCL) exhibits unique physical and chemical properties under wavelength near-infrared light excitation. Rolling circle amplification (RCA) is an efficient DNA amplification technique with amplification factors as high as 10 5 . Therefore, the above two excellent techniques can be employed for highly accurate imaging analysis of tumor cells. Herein, we developed a novel nanoplatform for TAA-specific cell imaging based on UCL and RCA technology. An aptamer–primer complex selectively binds to Mucin 1 (MUC1), one of TAA on cell surface, to trigger RCA reaction, generating a large number of repetitive sequences. These sequences provide lots of binding sites for complementary signal probes, producing UCL from lanthanide-doped upconversion nanoparticles (UCNPs) after releasing quencher group. The experimental results demonstrate the specific attachment of upconversion nanomaterials to cancer cells which express a high level of MUC1, indicating the potential of UCNPs and RCA in tumor imaging. Graphical Abstract
ISSN:0026-3672
1436-5073
DOI:10.1007/s00604-024-06331-2