Integrated Multi-Omics Data for Sepsis Immune Dysregulation and Therapy

A multi-omics dataset from a sepsis study, including single-cell RNA-seq, miRNA-seq, and bulk RNA-seq data from blood and lung samples. The data was generated by Jiawen Duan and published on figshare in May 2026. It underpins research into dual-pathway small-molecule therapy, which improved survival in septic mice from 20% to 70%.

Use Cases

• Analyzing immune cell dynamics in sepsis based on scRNA-seq and RNA-seq data mentioned in the description
• Identifying dysregulated pathways for therapeutic targeting based on integrated multi-omics findings
• Evaluating the synergistic effects of combination drug therapy based on in vitro and in vivo model results

Strengths

• Dataset is associated with a specific, published research outcome: survival improvement from 20% to 70% in septic mice.
• Integrates multiple data modalities (scRNA-seq, miRNA-seq, bulk RNA-seq) as described in the methods.

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 (10.1 KB), suggesting it may contain only summary or supplementary data rather than raw omics data.

Provenance

Source

figshare

Collection Method

Integrated multi-omics analysis (scRNA-seq, miRNA-seq, blood/lung RNA-seq) from sepsis patients and mouse models.

Freshness

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