Pol κ and DDX23 Interaction Proteomics for R-Loop Resolution

Proteomic data identifies interactions between polymerase κ (Pol κ) and DDX23, revealing their role in resolving R-loop structures to maintain genome stability. The dataset was generated by Feng Tang using proximity labeling and affinity pull-down coupled with LC-MS/MS analysis, and was last updated in April 2026. It is a 2.1 MB Excel file containing protein interaction profiles.

Use Cases

• Identify Pol κ-interacting proteins from LC-MS/MS proteomic data to map DNA repair networks.
• Analyze enrichment of Pol κ and DDX23 at R-loop loci to study their co-localization in chromatin.
• Correlate ablation of Pol κ or DDX23 with R-loop accumulation metrics to validate functional roles in resolution.

Strengths

• Data generated via two independent experimental methods: proximity labeling and affinity pull-down.
• Proteomic analysis performed using liquid chromatography–tandem mass spectrometry (LC-MS/MS).
• Dataset is openly shared under a CC-BY-NC-4.0 license for non-commercial reuse.

Limitations

• Small dataset scale at 2.1 MB, suggesting limited row count or feature depth.
• Specific sample size, row count, and column details are not provided.
• Temporal and geographic scope of the underlying biological samples is unspecified.

Provenance

Source

figshare, authored by Feng Tang.

Collection Method

Proximity labeling and affinity pull-down followed by LC-MS/MS analysis.

Freshness

Last updated in April 2026.