Pathogen-sugar interactions revealed by universal saturation transfer analysis.

Buchanan CJ., Gaunt B., Harrison PJ., Yang Y., Liu J., Khan A., Giltrap AM., Le Bas A., Ward PN., Gupta K., Dumoux M., Tan TK., Schimaski L., Daga S., Picchiotti N., Baldassarri M., Benetti E., Fallerini C., Fava F., Giliberti A., Koukos PI., Davy MJ., Lakshminarayanan A., Xue X., Papadakis G., Deimel LP., Casablancas-Antràs V., Claridge TDW., Bonvin AMJJ., Sattentau QJ., Furini S., Gori M., Huo J., Owens RJ., Schaffitzel C., Berger I., Renieri A., GEN-COVID Multicenter Study None., Naismith JH., Baldwin AJ., Davis BG.

Many pathogens exploit host cell-surface glycans. However, precise analyses of glycan ligands binding with heavily-modified pathogen proteins can be confounded by overlapping sugar signals and/or compound with known experimental constraints. 'Universal saturation transfer analysis' (uSTA) builds on existing nuclear magnetic resonance spectroscopy to provide an automated workflow for quantitating protein-ligand interactions. uSTA reveals that early-pandemic, B-origin lineage SARS-CoV-2 spike trimer binds sialoside sugars in an 'end-on' manner. uSTA-guided modelling and a high-resolution cryo-electron microscopy structure implicate the spike N-terminal domain (NTD) and confirm end-on binding. This finding rationalizes the effect of NTD mutations that abolish sugar-binding in SARS CoV 2 variants of concern. Together with genetic variance analyses in early pandemic patient cohorts, this binding implicates a sialylated polylactosamine motif found on tetraantennary N-linked glycoproteins in deeper human lung as potentially relevant to virulence and/or zoonosis.

DOI

10.1126/science.abm3125

Type

Journal article

Journal

Science (New York, N.Y.)

Publication Date

23/06/2022

Addresses

Department of Chemistry, University of Oxford, Oxford OX1 3TA, UK.

Keywords

GEN-COVID Multicenter Study

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