Deciphering O-GlcNAc-Dependent Signaling via Integrated Proteomics and Phosphoproteomics

A proteomics dataset from a 2026 study exploring crosstalk between phosphorylation and O-GlcNAcylation in pancreatic ductal cells. The dataset quantifies 8938 phosphorylation sites and identifies thousands significantly altered by inhibitor treatments. It was created by Ci Wu and shared on figshare.

Use Cases

• Identify phosphorylation sites altered by O-GlcNAc cycling inhibitors based on the quantified 8938 phosphosites.
• Analyze kinome and phosphatome phosphorylation changes based on the widespread changes reported in the description.
• Investigate specific kinase-substrate relationships based on the identification of CK2α-mediated phosphorylation of OGA at S364.

Strengths

• Quantifies 8938 phosphorylation sites, providing a substantial data point for analysis.
• Reports 2289 and 2201 significantly altered phosphosites across two inhibitor treatments, indicating measurable effects.
• Includes data from specific experimental perturbations with OSMI-1 and Thiamet G inhibitors.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is derived from a single pancreatic ductal cell line (PANC-1), which may limit generalizability.

Provenance

Source

figshare

Collection Method

Generated via integrated proteomics and phosphoproteomics analysis of PANC-1 cells treated with O-GlcNAc enzyme inhibitors.

Freshness

Last updated 2026-06-04 05:05:58; freshness should be verified.