Causal Sepsis Genes in Activated CD4+ T Cells from scRNA-seq and MR Analysis

Four causal sepsis genes identified through a multi-omics approach integrating single-cell RNA sequencing and Mendelian randomization. The dataset, authored by Jun Zhou and last updated in May 2026, includes results from analyses of 11,643 sepsis cases and 474,841 controls. It contains a four-gene signature (RPLP0, CD52, RPS15A, RPS18) validated by qPCR in a clinical cohort of 5 sepsis patients and 5 healthy controls.

Use Cases

• Validate causal gene signatures for sepsis risk based on the identified four-gene set.
• Investigate the 'Metabolism-Proteostasis-Immunity' regulatory axis described in the functional analysis.
• Benchmark new single-cell analysis pipelines against the identified activated CD4+ T cell markers.
• Perform secondary Mendelian randomization analyses using the provided gene-exposure relationships.

Strengths

• Results are validated via qPCR in a clinical cohort of 10 individuals.
• Analysis integrates two causal inference methods: single-cell RNA sequencing and Mendelian randomization.
• Uses summary statistics from a large-scale sepsis GWAS with over 11,000 cases.

Limitations

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

Provenance

Source

figshare, author Jun Zhou.

Collection Method

Synergistic multi-omics strategy combining scRNA-seq (GSE175453), Mendelian randomization (ieu-b-4980, eQTLGen), and clinical qPCR validation.

Freshness

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