Integrated Multi-Omics Data for Sepsis Immune Dysregulation and Therapy

Integrated multi-omics datasets from a sepsis research study, including scRNA-seq, miRNA-seq, and blood/lung RNA-seq data. The data was used to delineate immune cell dynamics and dysregulated pathways, guiding the design of small-molecule combination therapies. The dataset was authored by Jiawen Duan and last updated on May 15, 2026.

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 mentioned Hippo/Wnt regenerative and inflammatory cascades.
• Validate therapeutic efficacy of combination therapies based on the described survival rates and cytokine expression changes.
• Perform integrative multi-omics analysis based on the combination of scRNA-seq, miRNA-seq, and RNA-seq data types.

Strengths

• Data integrates multiple omics layers (scRNA-seq, miRNA-seq, RNA-seq) for a systems-level view.
• Therapeutic validation includes specific survival improvement metrics (from 20% to 70% 7-day survival).
• Dataset is openly shared under a CC-BY-4.0 license.

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 (9.8 KB), suggesting it may be summary or supplementary data rather than raw omics files.

Provenance

Source

figshare

Collection Method

Integrated multi-omics analysis from sepsis patient and mouse model studies.

Freshness

Last updated 2026-05-15 04:22:30; freshness should be verified.