Multi-Omic Network Analysis of Gut Microbiota Metabolites in Sepsis

Research data supporting a study on gut–immune signaling in sepsis, identifying specific microbial species and metabolites linked to inflammatory pathways. The dataset includes results from network pharmacology, single-cell transcriptomics, and molecular simulations. It was authored by Chao Li and last updated on 2026-05-31.

Use Cases

• Validate network pharmacology models based on the described gut–immune signaling axis.
• Analyze potential metabolite-sensing therapeutic targets based on the identified link to EGFR.
• Investigate microbial modulation of host inflammatory programs based on the described single-cell transcriptomic profiling.
• Perform molecular docking studies based on the described interactions between naringenin chalcone and EGFR.

Strengths

• Dataset is 57.9 MB, indicating a moderate volume of supporting data.
• Includes results from multiple integrated analysis methods mentioned in the description.
• Published under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Integrated network pharmacology, single-cell transcriptomic profiling, molecular docking, and molecular dynamics simulations.

Freshness

Last updated 2026-05-31 13:47:19; freshness should be verified.