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Many members of the C-type lectin family of glycan-binding receptors have been ascribed roles in the recognition of microorganisms and serve as key receptors in the innate immune response to pathogens. Other mammalian receptors have become targets through which pathogens enter target cells. These receptor roles have often been documented with binding studies involving individual pairs of receptors and microorganisms. To provide a systematic overview of interactions between microbes and the large complement of C-type lectins, here we developed a lectin array and suitable protocols for labeling of microbes that could be used to probe this array. The array contains C-type lectins from cow, chosen as a model organism of agricultural interest for which the relevant pathogen-receptor interactions have not been previously investigated in detail. Screening with yeast cells and various strains of both Gram-positive and -negative bacteria revealed distinct binding patterns, which in some cases could be explained by binding to lipopolysaccharides or capsular polysaccharides, but in other cases they suggested the presence of novel glycan targets on many of the microorganisms. These results are consistent with interactions previously ascribed to the receptors, but they also highlight binding to additional sugar targets that have not previously been recognized. Our findings indicate that mammalian lectin arrays represent unique discovery tools for identifying both novel ligands and new receptor functions.

More information Original publication

DOI

10.1074/jbc.RA120.012783

Type

Journal article

Publication Date

2020-04-03T00:00:00+00:00

Volume

295

Pages

4541 - 4555

Total pages

14

Keywords

array screening, carbohydrate function, carbohydrate-binding protein, glycan-binding receptors, glycobiology, innate immune system, lectin, ligand binding, lipopolysaccharide (LPS), pathogen, Amino Acid Sequence, Animals, Cattle, Gram-Negative Bacteria, Gram-Positive Bacteria, Host-Pathogen Interactions, Lectins, C-Type, Lipopolysaccharides, Polysaccharides, Bacterial, Protein Array Analysis, Saccharomyces cerevisiae, Sequence Alignment