Integrated Multi-Omics Data for Sepsis Immune Dysregulation and Therapy

Integrated multi-omics datasets including scRNA-seq, miRNA-seq, and blood/lung RNA-seq delineated immune cell dynamics in sepsis. The data guided the design of small-molecule combinations C1 and C2, with C2 improving 7-day survival in septic mice from 20% to 70%. The dataset was authored by Jiawen Duan and last updated on 2026-05-15.

Use Cases

• Identify immune cell remodeling signatures based on pro-inflammatory myeloid cell expansion and protective lymphoid cell depletion.
• Validate therapeutic targets based on dysregulated inflammatory and regenerative pathways like Hippo/Wnt.
• Assess therapeutic efficacy based on cytokine expression changes (e.g., Il1b, Il6, Il10).
• Model synergistic drug effects based on dual-pathway small-molecule combination C2.

Strengths

• Dataset is derived from integrated multi-omics sources including scRNA-seq, miRNA-seq, and RNA-seq.
• Therapeutic efficacy is quantified with a specific survival improvement from 20% to 70% in a mouse model.
• The dataset is openly licensed under CC-BY-4.0.

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 at 12.4 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) of sepsis models.

Freshness

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