Mouse Liver Transcriptomic and Lipidomic Data for Steatotic Ischemia-Reperfusion Injury

Transcriptomic and lipidomic data from a murine high-fat diet model of hepatic ischemia-reperfusion injury (IRI). The dataset, authored by Jiman Kang and last updated in May 2026, includes measurements of inflammatory and metabolic gene expression, as well as targeted lipid analysis, to assess the effects of N-acetylcysteine supplementation. The data is provided as a 1.0 MB PDF file under a CC-BY-4.0 license.

Use Cases

• Analyze gene expression patterns for inflammatory mediators like TLR/NF-κB-associated genes (Tlr2, Tlr4, Irf1) and neutrophil-associated genes (S100a8, S100a9, Lcn2).
• Investigate transcriptional changes in lipid and cholesterol metabolism-related genes (Cyp7a1, Cyp8b1, Cyp27a1, Hmgcr) under injury conditions.
• Correlate transcriptomic findings with lipidomic data on phosphatidylcholine and sphingomyelin levels.
• Study the modulatory effects of N-acetylcysteine (NAC) on immune cell accumulation and gene expression in steatotic livers.

Strengths

• Data integrates transcriptomic and targeted lipidomic analyses from a defined murine model.
• Specific genes and lipid classes of interest are named in the description, providing clear research targets.
• Dataset is openly available under a permissive CC-BY-4.0 license.

Limitations

• The primary data is embedded within a 1.0 MB PDF, which may require extraction to be machine-readable.
• Row and column counts are unknown, making suitability for computational analysis difficult to assess.
• The description lacks details on sample size, replication, and raw data file formats.

Provenance

Source

figshare, author Jiman Kang

Collection Method

Generated from transcriptomic profiling and targeted lipidomic analysis in a murine high-fat diet model.

Freshness

Last updated 2026-05-19 04:19:00