RNA-Protein Interaction Profiles Across Six Human Cell Lines

261 unified RNA-RBP interaction datasets from 172 RBPs across six human cell lines (K562, HepG2, HEK293, HEK293T, HeLa, and H9). The collection includes 65 CLIP-seq experiments from POSTAR and 196 eCLIP experiments from ENCODE, providing a basis for model training. Author Yubo Wang uploaded the 20.8 GB dataset to figshare under a CC-BY-4.0 license.

Use Cases

• Train machine learning models to predict RNA-protein binding based on sequence and structure motifs.
• Evaluate the impact of genetic variants on RNA-protein interactions across diverse cellular contexts.
• Benchmark computational methods for analyzing CLIP-seq and eCLIP data.
• Study the cell-type specificity of RNA-binding protein interactions.

Strengths

• Unifies 261 datasets from two major sources (POSTAR and ENCODE) into a single collection.
• Profiles 172 RNA-binding proteins across six distinct human cell lines, suggesting broad cellular coverage.
• Data was generated using a uniform flagmarked protocol, which may improve cross-experiment comparability.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The 20.8 GB size indicates a large download and potential computational resource requirements.

Provenance

Source

Combined from POSTAR repository and ENCODE project.

Collection Method

CLIP-seq and eCLIP experiments processed with a uniform flagmarked protocol.

Freshness

Last updated 2026-05-02 14:26:22; freshness should be verified.