Liuqing Wen

This study affinity-matures an antibody to recognize both MUC1-Tn and MUC1-STn glycoforms, enhancing its efficacy against heterogeneous tumors.

This study introduces a nanopore-based method for glycan sequencing that reconstructs full glycan structures from fragments, overcoming limitations of existing approaches.

This paper develops a mass spectrometry-based method to decode glycoproteins by integrating deglycosylation and glycosylation site characterization, enabling accurate sequencing of complex glycosylated proteins.

This paper demonstrates a glycan sequencing method using glycosidase-assisted nanopore sensing, achieving over 90% accuracy in identifying monosaccharide sequences.

This paper demonstrates a method for glycan sequencing using nanopores by conjugating glycans to helicase-controlled DNA, achieving reads of up to eleven glycans and enabling controlled translocation and signal detection.

This paper designs an engineered nanopore to distinguish isomeric glycans with high sensitivity and achieves over 90% separation accuracy without machine learning.

The paper identifies a conserved carbohydrate-recognition motif in purinergic receptors and demonstrates its role in activating GPCRs through sugar nucleotide binding.

The paper introduces a DNA-encoded glycan library (DEGL-50) and demonstrates its use in studying glycan-protein interactions using PCR, qPCR, and NGS technologies.