Coronavirus Spike Protein Glycosylation and AUC Data

Glycoproteomic analyses reveal over 100 N-glycans per trimer on gammacoronavirus spike proteins, with a notable abundance of high-mannose glycans on a unique N-terminal domain. This dataset, created by Ruben J. G. Hulswit and shared on figshare in 2026, contains area under the curve (AUC) measurements per glycosite for various proteases. The data supports research into the structural diversity and glycan shielding strategies of coronaviruses.

Use Cases

• Analyze the relationship between glycosite-specific AUC values and protease type to understand glycan accessibility.
• Compare high-mannose glycan abundance on the S1^0 domain to other spike protein regions using the per-glycosite data.
• Correlate glycosylation patterns with structural features from cryo-EM reconstructions of distinct gammacoronaviruses.
• Use AUC per glycosite data to model the density and composition of the glycan shield for immune evasion studies.

Strengths

• Data is derived from high-resolution cryo-EM structures of two distinct gammacoronaviruses with 75.7% sequence identity.
• Includes glycoproteomic analysis quantifying extensive N-glycosylation (>100 N-glycans per trimer).
• Released under a permissive CC-BY-4.0 license for broad reuse.

Limitations

• The dataset is small at 117.3 KB, indicating limited scope and likely a low row count.
• Specific column names, row counts, and sample data are unavailable, hindering immediate assessment of data structure.
• Focus is restricted to two specific gammacoronaviruses from the Gammacoronavirus delphinapteri species, limiting generalizability.

Provenance

Source

Ruben J. G. Hulswit via figshare.

Collection Method

Data generated from glycoproteomic analyses and cryo-electron microscopy (cryo-EM) structural studies.

Freshness

Last updated on 2026-04-08, indicating it is a forward-dated or recently curated dataset.