One of the main barriers to explaining the functional
significance
of glycan-based changes in cancer is the natural epitope heterogeneity
found on the surface of cancer cells. To help address this knowledge
gap, we focused on designing synthetic tools to explore the role of
tumor-associated glycans of MUC1 in the formation of metastasis via
association with lectins. In this study, we have synthesized for the
first time a MUC1-derived positional scanning synthetic glycopeptide
combinatorial library (PS-SGCL) that vary in number and location of
cancer-associated Tn antigen using the “tea bag” approach.
The determination of the isokinetic ratios necessary for the equimolar
incorporation of (glyco)amino acids mixtures to resin-bound amino
acid was determined, along with developing an efficient protocol for
on resin deprotection of
O
-acetyl groups. Enzyme-linked
lectin assay was used to screen PS-SGCL against two plant lectins,
Glycine max soybean agglutinin
and
Vicia villosa
. The results revealed a carbohydrate density-dependent affinity
trend and site-specific glycosylation requirements for high affinity
binding to these lectins. Hence, PS-SGCLs provide a platform to systematically
elucidate MUC1-lectin binding specificities, which in the long term
may provide a rational design for novel inhibitors of MUC1–lectin
interactions involved in tumor spread and glycopeptide-based cancer
vaccines.