Mouse liver RNA-seq data captures the host transcriptional response to intravenous Staphylococcus aureus SH1000 infection at 4 and 24 hours post-inoculation. The dataset was generated by researcher Eva Medina and her organization, with metadata last updated in April 2026. It provides gene expression profiles to investigate early hepatic defense mechanisms.
Use Cases
- Identify differentially expressed genes in the liver between 4-hour and 24-hour post-infection time points.
- Analyze gene ontology or pathway enrichment using transcript counts to understand biological processes activated during infection.
- Build predictive models for infection time point classification based on gene expression signatures.
- Correlate specific transcriptional modules with known hepatic zone functions to validate the study's hypothesis.
Strengths
- Data captures two critical early time points (4h and 24h) in the infection progression.
- Generated using RNA-seq, a standard high-throughput method for transcriptional profiling.
Limitations
- The sample size (number of biological replicates per time point) is not specified, potentially limiting statistical power.
- Data is restricted to a single bacterial strain (SH1000) and intravenous infection route, limiting generalizability.
Provenance
- Source
- Eva Medina Dataverse.
- Collection Method
- RNA-seq analysis of liver tissue from intravenously infected mice.
- Time Range
- Post-infection time points at 4 hours and 24 hours.
- Freshness
- Metadata indicates an update in 2026, suggesting recent curation.
- Geography
- Laboratory mouse model; specific geographic origin of study not stated.