Bibliographic Details
Title: |
FRET imaging of glycoRNA on small extracellular vesicles enabling sensitive cancer diagnostics |
Authors: |
Tingju Ren, Yingzhi Zhang, Yuxiao Tong, Qi Zhang, Tianhao Wang, Yue Wang, Chunguang Yang, Zhangrun Xu |
Source: |
Nature Communications, Vol 16, Iss 1, Pp 1-19 (2025) |
Publisher Information: |
Nature Portfolio, 2025. |
Publication Year: |
2025 |
Collection: |
LCC:Science |
Subject Terms: |
Science |
More Details: |
Abstract Glycosylated RNAs (glycoRNAs), a recently discovered class of membrane-associated glyco-molecules, remain poorly understood in function and clinical value due to limited detection methods. Here, we show a dual recognition Förster resonance energy transfer (drFRET) strategy using nucleic acid probes to detect N-acetylneuraminic acid-modified RNAs, enabling sensitive, selective profiling of glycoRNAs on small extracellular vesicles (sEVs) from minimal biofluids (10 μl initial biofluid). Using drFRET, we identify 5 prevalent sEV glycoRNAs derived from 7 cancer cell lines. In a 100-patient cohort (6 cancer types and non-cancer controls), sEV glycoRNA profiles achieve 100% accuracy (95% confidence interval) in distinguishing cancers from non-cancer cases and 89% accuracy in classifying specific cancer types. Furthermore, drFRET reveal that sEV glycoRNAs specifically interact with Siglec proteins and P-selectin, which is critical for sEV cellular internalization. The drFRET strategy provides a versatile and sensitive platform for the imaging and functional analysis of sEV glycoRNAs, with promising implications for clinical applications. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
2041-1723 |
Relation: |
https://doaj.org/toc/2041-1723 |
DOI: |
10.1038/s41467-025-58490-2 |
Access URL: |
https://doaj.org/article/b097ca4be60145e8b65b2ac07ad1f1c8 |
Accession Number: |
edsdoj.b097ca4be60145e8b65b2ac07ad1f1c8 |
Database: |
Directory of Open Access Journals |