Orthogonal Chemical Encoding Enables Sequence‐Independent GlycoRNA Imaging in Organoids and Tissues
Year: 2026
Type: article
Abstract: Current methods for imaging glycosylated RNAs (glycoRNAs) rely on sequence-specific recognition or bulky DNA nanostructures, which compromise spatial fidelity and largely confine applications to simplified cell systems. Here, we report a Covalent Molecular Proximity Assay (COMPASS) that enables sequence-independent visualization of glycoRNAs in complex physiological contexts. COMPASS integrates orthogonal encoding with proximity-gated signal readout. Through chemoselective precursor uptake, azide groups are installed on terminal sialic acids and alkyne groups on nascent uridine residues, establishing a dual-encoded chemical framework. Independent analysis confirmed the efficient installation of both functionalities. Subsequent dual-color click labeling introduces donor and acceptor fluorophores to these orthogonal handles, producing sensitized acceptor emission when they are located in the same glycoRNA molecule. Accordingly, COMPASS reports the metabolically labeled, sialylated, uridine-containing glycoRNA population generated during the labeling window. This design eliminates the need for bulky nucleic acid probes, reduces probe-induced signal spreading, and enables glycoRNA imaging across diverse systems, including cell cultures, cerebral organoids, and mouse tissues. COMPASS revealed spatially heterogeneous glycoRNA-associated signals, including relatively stronger signals near lumen-adjacent VZ-like regions of cerebral organoids and lower signals in pulmonary metastatic nodules. These observations establish spatial associations with neurodevelopmental and tumor-associated states.
Source: Angewandte Chemie
DOI: 10.1002/ange.6171384
Authors: Bingzhi Li, Sirui Liu, Yue Chen, Shulin Wang, Xue Li, Xinyue Zhang, Ruoyu Jiao, Muhammad Sohail, Wanying Zhu, Yufan Zhang, Fuming Zhang, Xing Zhang
Language: English
Topic: Biotin and Related Studies
Subfield: Cell Biology
Domain: Life Sciences
Open Access status: green
Awards: G1168883801, G1345015835, G1589792856
OpenAlex ID: W7147142488
