score

score analyzes human microRNA-mRNA interactions by integrating expression data and CLIP-derived binding sites from HEK293 and Huh7.5 datasets to identify experimentally supported miRNA-binding regions and cell line-specific regulatory interactions.

Key Features:

• Extensive Dataset Integration: Integrates analysis results from HEK293 and Huh7.5 datasets together with publicly available miRNA and mRNA expression data.
• Identification of Cell Line-Specific Interactions: Highlights RNAs with substantial sponge-like properties, including EEF1A1 and HSPA1B in HEK293 and AFP, APOB, and MALAT1 in Huh7.5.
• High-Expression microRNAs: Identifies microRNAs that are expressed at very high levels but interact with only a few mRNAs, indicating specific expression regulators.
• Experimentally Confirmed Binding Regions: Systematically analyzes 79 CLIP (Crosslinking and Immunoprecipitation) datasets to identify 46,805 experimentally confirmed mRNA–miRNA duplex regions.

Scientific Applications:

• Gene Expression Regulation: Maps miRNA-mRNA networks to support studies of microRNA roles in gene expression regulation.
• Cell Line-Specific Studies: Enables analysis of cell line-specific regulatory interactions for studies of cellular differentiation and disease modeling.
• Validation of Computational Predictions: Provides an extensive set of experimentally supported binding regions to benchmark and validate computational miRNA-mRNA interaction predictions.

Methodology:

Integration and systematic analysis of large-scale datasets from HEK293 and Huh7.5, publicly available miRNA and mRNA expression data, and 79 CLIP (Crosslinking and Immunoprecipitation) datasets to combine expression data with CLIP-derived miRNA-binding sites and identify 46,805 experimentally confirmed mRNA–miRNA duplex regions.