MyoData

MyoData maps expression-based interactions between coding and non-coding RNAs at single-cell and single-nucleus resolution in skeletal muscle to support discovery of lncRNA–miRNA regulatory networks.

Key Features:

• Single-Cell/Nucleus Gene Expression Data: Compiles gene expression data for coding and non-coding genes at single-cell and single-nucleus resolution, including data from individual myofibers.
• Interaction Networks Based on Expression Correlations: Generates lncRNA–miRNA interaction networks by analyzing expression correlations across single-cell and single-nucleus profiles.
• Integration with KEGG Pathways: Integrates lncRNA and miRNA data with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways to map altered genes onto known biological pathways.
• Pathophysiological Condition Data: Includes single-nucleus gene expression data from skeletal muscle under various pathophysiological conditions to capture disease-relevant RNA dynamics.
• Experimental Validation Framework: Predicts interactions and records interactions previously validated using high-throughput methods to support downstream experimental follow-up.

Scientific Applications:

• Functional Discovery of miRNAs and lncRNAs: Enables identification of novel functions of miRNAs and lncRNAs in skeletal muscle, exemplified by miR-149, miR-214, and let-7e involvement in mitochondrial shaping.
• Regulatory Mechanisms: Reveals regulatory activities such as lncRNA Pvt1 sponging of miR-27a and miR-214 regulation of genes including Sox6 and Slc16a3.
• Pathway Analysis: Facilitates mapping of RNA interactions to KEGG pathways to investigate how specific RNAs affect broader biological processes in muscle physiology and pathology.

Methodology:

Compiles single-cell and single-nucleus gene expression data, analyzes expression correlations to generate lncRNA–miRNA interaction networks, integrates networks with KEGG pathways, and predicts interactions.