SMAtool

SMAtool integrates dMS-seq and eCLIP-seq data to analyze RNA secondary structure and protein binding events and identify structure motifs preferred by RNA-binding proteins (RBPs), enabling study of their roles in post-transcriptional regulation and translation.

Key Features:

• Integration of structural and binding data: Combines RNA secondary structure information with protein binding-site data to profile RBP binding preferences relative to RNA structures.
• Support for eCLIP-seq and dMS-seq: Processes and analyzes datasets generated by eCLIP-seq and dMS-seq experiments.
• Structure-motif identification: Identifies RNA structural motifs associated with individual RBPs and produces profiles of their structural preferences.
• Experimental validation: Demonstrates consistency of results from K562 cell-line datasets with X-ray crystallography data in the Protein Data Bank (PDB).

Scientific Applications:

• RBP binding profiling: Reveals how RNA secondary structures influence protein binding events relevant to post-transcriptional regulation and translation.
• Structural interpretation: Enables comparison of in vivo RBP structural preferences with X-ray crystallography entries in the PDB using K562-derived data.
• Motif discovery for gene-expression studies: Identifies structure motifs associated with RBPs to inform basic research and potential therapeutic applications.

Methodology:

SMAtool extracts RNA-structure and binding-site information from eCLIP-seq and dMS-seq datasets and analyzes these data to identify structure motifs associated with each RBP and produce profiles of their structural preferences.