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Single-Feature Identification of α2-8 Linked Sialoglycans Using Engineered Aerolysin Nanopores: A Paradigm for Glycan
Jiaqi Li1,2,3, Xinjia Zhao1, Minmin Li1
1State Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China.
Journal of the American Chemical Society
|March 4, 2026
Summary
Engineered nanopores can now identify specific sugar linkages in glycans. This breakthrough enables precise glycan analysis and opens new possibilities for sequencing complex carbohydrates.
Area of Science:
- Glycoscience
- Nanotechnology
- Biophysics
Background:
- Nanopore sensing offers high-sensitivity, single-molecule analysis of glycans.
- Current methods face limitations in glycan profiling and sequencing.
- Advancements are needed to enhance nanopore resolution and applicability for diverse glycans.
Purpose of the Study:
- To develop a novel single-feature paradigm for nanopore glycan linkage analysis.
- To engineer aerolysin nanopores for specific recognition of glycan structures.
- To establish a method for glycan characterization and sequencing in complex biological samples.
Main Methods:
- Engineered aerolysin nanopore variants (K238Q and K238N) were designed for selective glycan binding.
- A dual-pore logic-gate assay combined readouts from different nanopore variants.
- Nanopore-compatible preprocessing and machine learning were employed for data analysis.
Main Results:
- The K238Q nanopore specifically recognized and decelerated α2-8 glycosidic linkages in sialoglycans.
- Submonosaccharide-level characterization and fingerprinting of α2-8 sialoglycans were achieved.
- A dual-pore assay with K238Q and K238N variants extracted structural information from unknown glycans.
- Proof-of-concept identification and quantification of sialoglycans in serum were demonstrated.
Conclusions:
- Engineered aerolysin nanopores provide a powerful platform for selective sialoglycan discrimination.
- This approach enables characterization of glycans within complex biological matrices.
- The study opens new avenues for nanopore-based glycan sequencing.

