High-Throughput miRNA Screen Against Intracellular Staphylococcus aureus

Figshare hosts screening data from Pablo Castañera's research on host-directed therapies against Staphylococcus aureus. The dataset contains results from a high-throughput screen of 2,469 human miRNA mimics in infected epithelial cells. It identifies miR-4430, miR-147a, and miR-1249-5p as candidates that reduce bacterial burden and modulate host pathways.

Use Cases

• Analyze the screening results for the 2,469 miRNA mimics to identify hits that reduce intracellular S. aureus burden.
• Validate candidate miRNAs like miR-4430, miR-1249-5p, and miR-147a across different S. aureus strains and epithelial cell lines.
• Correlate miRNA candidate effects with transcriptomic profiling data on host immune and adhesion pathways.
• Prioritize miRNA candidates using network centrality analysis metrics from the screening results.

Strengths

• Screens a large library of 2,469 human miRNA mimics for antimicrobial activity.
• Identifies and validates three specific miRNA candidates (miR-4430, miR-147a, miR-1249-5p) with consistent effects.
• Includes transcriptomic analysis revealing complementary host pathway responses to candidate miRNAs.

Limitations

• Dataset scale is limited to 3.8 MB, suggesting a focused experimental dataset rather than a large-scale repository.
• Sample data and column structure are unavailable, limiting immediate understanding of data organization.
• Results are specific to S. aureus USA300 strain and A549 epithelial cells, which may limit generalizability.

Provenance

Source

Pablo Castañera via figshare.

Collection Method

High-throughput screen of miRNA mimics in A549 epithelial cells infected with S. aureus, followed by validation and RNA-seq profiling.

Freshness

Last updated March 25, 2026.