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Updated: Aug 12, 2025

Glycan Node Analysis: A Bottom-up Approach to Glycomics
Published on: May 22, 2016
Cancer discrimination by on-cell N-glycan ligation
Shogo Nomura1,2, Yasuko Egawa1, Sayaka Urano1
1Biofunctional Synthetic Chemistry Laboratory, RIKEN Cluster for Pioneering Research, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
Abstract:
In the field of molecular imaging, selectivity for target cells is a key determinant of the degree of imaging contrast. Previously, we developed a pre-targeted method by which target cells could be selectively imaged using a labeled N-glycan that was ligated in situ with an integrin-targeted cyclic RGD peptide on the cell surface. Here we demonstrate the power of our method in discriminating various cancerous and non-cancerous cells that cannot be distinguished using conventional RGD ligands. Using four cyclic RGDyK peptides with various linker lengths with five N-glycans, we identify optimal combinations to discriminate six types of αvβ3 integrin-expressing cells on 96-well plates. The optimal combinations of RGD and N-glycan ligands for the target cells are fingerprinted on the plates, and then used to selectively image tumors in xenografted mouse models. Using this method, various N-glycan molecules, even those with millimolar affinities for their cognate lectins, could be used for selective cancer cell differentiation.

