Transcriptomics and Network Pharmacology Data for Leonurine Salmonella Study

A figshare dataset by Li Yang, last updated April 2026, containing results from a study on leonurine's effects against Salmonella enteritidis infection in IEC-6 cells. The data likely includes transcriptomic profiles, network pharmacology predictions, and validation results from assays like CCK8, immunofluorescence, and flow cytometry.

Use Cases

• Identify potential drug targets based on transcriptomics and network pharmacology integration mentioned in the description
• Validate molecular docking predictions using assay results like RT–qPCR and Western blotting
• Analyze cellular damage and apoptosis inhibition patterns from flow cytometry and CPE assay data
• Study the regulation of tight junction proteins, ferroptosis, and autophagy signaling pathways

Strengths

• Dataset is openly licensed under CC-BY-4.0
• Study integrates multiple methodologies: transcriptomics, network pharmacology, and molecular docking

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is contained in a single 766 KB DOCX file, which may require extraction

Provenance

Source

figshare

Collection Method

Generated from a laboratory study using cell models and molecular assays.

Freshness

Last updated 2026-04-10 06:03:21