Integrated Multi-Omics Data for Sepsis Immune Dysregulation and Therapy

A biomedical dataset from a study investigating sepsis immune dysregulation and therapy. The data, authored by Jiawen Duan and last updated in May 2026, likely contains integrated multi-omics results from single-cell RNA sequencing, miRNA sequencing, and bulk RNA sequencing of blood and lung samples. The dataset is small, at 15.9 KB.

Use Cases

• Analyze immune cell population dynamics based on the described expansion of pro-inflammatory myeloid cells and depletion of lymphoid cells.
• Investigate dysregulated molecular pathways in sepsis based on the mention of inflammatory cascades and Hippo/Wnt regenerative pathways.
• Validate biomarker signatures for sepsis severity based on described cytokine and gene expression changes (e.g., Il1b, Il6, Il10, Arg1).
• Model synergistic drug combination effects based on the described dual-pathway small-molecule therapy (C2).
• Correlate multi-omics profiles with survival outcomes based on the reported improvement from 20% to 70% survival in mice.

Strengths

• Dataset is derived from integrated multi-omics analysis, including scRNA-seq, miRNA-seq, and bulk RNA-seq.
• The study reports a concrete therapeutic outcome, improving 7-day survival in septic mice from 20% to 70%.
• Data is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (15.9 KB), suggesting it contains summary or processed results rather than raw omics data.

Provenance

Source

figshare

Collection Method

Integrated multi-omics analysis (scRNA-seq, miRNA-seq, blood/lung RNA-seq) from a sepsis research study.

Freshness

Last updated 2026-05-15 04:22:31; freshness should be verified.