PFAS Thermal Proteome Profiling: 173 Identified Protein Targets and Disease Links

A 2026 study by Xuehan Zheng applied thermal proteome profiling to identify protein interactions with five per- and polyfluoroalkyl substances (PFAS). The dataset includes 173 proteins with significant ligand-induced stabilization, linked to 279 standardized disease entities. The data is provided in an XLSX file sized 29.3 KB.

Use Cases

• Prioritizing proteins for mechanistic validation based on thermal stabilization data.
• Comparing targetomes of legacy PFAS versus replacement chemistries like GenX (HFPO-DA).
• Linking identified protein targets to disease outcomes via ontology-based annotation.
• Supporting structural rationale for protein-ligand interactions using molecular docking results.

Strengths

• Identifies 173 specific proteins with significant ligand-induced stabilization.
• Links stabilized targets to 279 standardized disease entities, with a noted predominance of neoplastic outcomes.
• Includes independent verification via cellular thermal shift assay and molecular docking.

Limitations

• Dataset is very small at 29.3 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Xuehan Zheng.

Collection Method

Generated via thermal proteome profiling (TPP) experiments on five representative PFAS.

Freshness

Last updated 2026-03-26 08:07:36; freshness should be verified.