High-Throughput Screen of miRNA Mimics Against Intracellular Staphylococcus aureus

Figshare hosts a dataset from a high-throughput screen of 2,469 human miRNA mimics in A549 epithelial cells infected with S. aureus USA300. Author Pablo Castañera identified candidate miRNAs, including miR-4430, miR-147a, and miR-1249-5p, that reduce intracellular bacterial burden. The dataset includes results from network centrality analysis and RNA-seq profiling of host responses.

Use Cases

• Prioritize candidate miRNAs from the screen of 2,469 mimics using network centrality analysis scores.
• Validate the effect of miR-4430, miR-1249-5p, and miR-147a on intracellular bacterial burden across different S. aureus strains.
• Analyze RNA-seq profiling data to examine host response pathways like STAT1- and PTAFR-associated signalling.
• Correlate miRNA candidate performance with transcriptomic data on extracellular matrix organisation and integrin-mediated adhesion.

Strengths

• Screens a large library of 2,469 human miRNA mimics.
• Includes validation data across different S. aureus strains and epithelial cell lines.
• Provides complementary transcriptomic analysis of host response pathways.

Limitations

• Dataset size is small at 4.2 MB, suggesting limited raw data or summary-level results.
• Unknown row and column structure makes direct analytical reuse challenging.
• Data is specific to A549 epithelial cells and S. aureus USA300, limiting generalizability to other cell types or pathogens.

Provenance

Source

Pablo Castañera via Figshare.

Collection Method

High-throughput screen of miRNA mimics in infected cells, followed by network analysis and RNA-seq profiling.

Freshness

Last updated March 2026.