Integrated Multi-Omics Data for Sepsis Immune Dysregulation and Therapy

Integrated multi-omics datasets delineated immune cell dynamics and dysregulated pathways in sepsis. The data likely contains results from scRNA-seq, miRNA-seq, and blood/lung RNA-seq analyses of septic patients and mouse models. Author Jiawen Duan published the dataset on figshare under a CC-BY-4.0 license, last updated on 2026-05-15.

Use Cases

• Analyzing immune cell remodeling signatures based on the expansion of pro-inflammatory myeloid cells and depletion of protective lymphoid cells.
• Evaluating therapeutic efficacy of small-molecule combinations based on survival rates and cytokine expression changes.
• Investigating pathway dysregulation in sepsis based on identified inflammatory cascades and Hippo/Wnt regenerative pathways.

Strengths

• Dataset integrates multiple omics layers (scRNA-seq, miRNA-seq, RNA-seq) for a systems-level view.
• Therapeutic validation includes a specific survival improvement from 20% to 70% in a mouse model.

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 small at 10.5 KB, indicating limited scope or summary-level data.

Provenance

Source

figshare

Collection Method

Integrated multi-omics analysis (scRNA-seq, miRNA-seq, RNA-seq) of septic patients and mouse models.

Freshness

Last updated 2026-05-15 04:22:29; freshness should be verified.