Near-infrared long lifetime upconversion nanoparticles for ultrasensitive microRNA detection via time-gated luminescence resonance energy transferopen access
- Authors
- Kim, Suyeon; Park, Yeonkyung; Han, Jiwoo; Kim, Hansol; Jang, Hyowon; Kim, Sohyung; Kang, Dongkyu; Lee, Min-Young; Jeong, Byeong-Ho; Byun, Yuree; Kang, Taejoon; Lee, Joonseok
- Issue Date
- Aug-2025
- Publisher
- Nature Publishing Group
- Keywords
- Micrornas; Microrna; Upconversion Nanoparticle; Nanoparticle; Cancer; Luminescence; Polymerase Chain Reaction; Reactivation; Resonance; Rna; Article; Cancer Cell; Cancer Patient; Cell Differentiation; Energy Transfer; Exosome; Infrared Radiation; Steady State; Blood; Chemistry; Fluorescence Resonance Energy Transfer; Genetic Procedures; Genetics; Human; Metabolism; Procedures; Tumor Cell Line; Biosensing Techniques; Cell Line, Tumor; Energy Transfer; Exosomes; Fluorescence Resonance Energy Transfer; Humans; Luminescence; Luminescent Measurements; Micrornas; Nanoparticles
- Citation
- Nature Communications, v.16, no.1
- Indexed
- SCIE
SCOPUS
- Journal Title
- Nature Communications
- Volume
- 16
- Number
- 1
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208733
- DOI
- 10.1038/s41467-025-62802-x
- ISSN
- 2041-1723
2041-1723
- Abstract
- Upconversion nanoparticle (UCNP)-based luminescence resonance energy transfer (LRET) biosensing offers advantages such as wash-free detection and precise biomolecule quantification. However, its sensitivity remains limited due to continuous energy transfer in co-doped UCNPs during LRET. Here we present a time-gated LRET strategy using near-infrared (NIR) long-lived luminescent UCNP donors (L-TG-LRET), achieving an 8-fold increase in luminescence lifetime without compromising emission intensity. This prolonged energy migration and transfer pathway significantly enhances sensitivity by preventing rapid Tm3+ reactivation during LRET to IRDye800 acceptors. Applying this approach to microRNA (miRNA) detection, we achieve a 17.9-fold higher sensitivity than conventional steady-state methods. Furthermore, the L-TG-LRET successfully quantifies miRNA expression in cancer cells, plasma, and exosomes, enabling the differentiation of cancer patients from healthy donors. Notably, this approach outperforms polymerase chain reaction in detecting low-abundance exosomal miRNAs. These results highlight the potential of L-TG-LRET system as a valuable tool for sensitive biomolecular detection in clinical diagnostics. © 2025 Elsevier B.V., All rights reserved.
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