Multi-Omics Sepsis Study: Causal Gene Drivers in Activated CD4+ T Cells

Four causal sepsis genes identified through single-cell RNA sequencing and Mendelian randomization analysis. The dataset includes odds ratios and confidence intervals for RPLP0, CD52, RPS15A, and RPS18, derived from a GWAS of 11,643 sepsis cases and 474,841 controls. Author Jun Zhou published this work on figshare under a CC-BY-4.0 license in May 2026.

Use Cases

• Validate causal gene signatures for sepsis risk stratification based on the identified four-gene panel.
• Investigate the 'Metabolism-Proteostasis-Immunity' regulatory axis described in the functional analysis.
• Replicate Mendelian randomization analyses using the provided genetic association statistics.
• Correlate gene expression levels from single-cell RNA-seq data with clinical sepsis outcomes.
• Develop predictive models for sepsis endotypes using the causally-validated biomarker genes.

Strengths

• Analysis integrates two distinct methodologies: single-cell RNA sequencing and Mendelian randomization.
• Findings are validated via qPCR in a clinical cohort of 5 sepsis patients and 5 healthy controls.
• Uses summary statistics from a large-scale sepsis GWAS with over 11,000 cases and 474,000 controls.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The clinical validation cohort is small, with only 5 patients per group.

Provenance

Source

figshare

Collection Method

Synergistic multi-omics strategy combining scRNA-seq data (GSE175453) with two-sample Mendelian randomization using GWAS and eQTL summary statistics.

Freshness

Last updated 2026-05-28 04:43:35; freshness should be verified.