Multi-omics Analysis of Hypoxia and Immune Regulation in Septic Cardiomyopathy

Transcriptomic profiling of septic mouse myocardium characterizes hypoxia-associated immune remodeling at bulk and single-cell levels. The dataset, authored by Haibei Sun and last updated on 2026-04-30, identifies NFIL3, TGM2, and SDC4 as key hypoxia-associated hub genes. It includes validation through Mendelian randomization and in vivo/in vitro experiments linking NFIL3 to macrophage inflammatory responses via NF-κB signaling.

Use Cases

• Identify hypoxia-related gene signatures based on transcriptomic profiling of septic myocardium mentioned in the description
• Validate candidate biomarker performance based on independent human peripheral blood cohorts referenced in the results
• Investigate causal gene-disease relationships based on two-sample Mendelian randomization analysis described in the methods
• Analyze macrophage-specific gene enrichment based on single-cell analysis results for Nfil3

Strengths

• Integrates multi-omics data from bulk and single-cell transcriptomic profiling as described in the methods
• Validates findings through independent human cohorts and Mendelian randomization analysis as stated in the results
• Includes in vivo and in vitro experimental validation of key mechanistic pathways involving NFIL3 and HIF-1α

Limitations

• Dataset size is 13.2 KB, indicating a very limited scope likely focused on summary findings rather than raw data
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Transcriptomic profiling of septic mouse myocardium, integrative differential expression and network analyses, and machine learning–based biomarker selection as described.

Freshness

Last updated 2026-04-30 04:20:24; freshness should be verified