Spinal Cord Injury Immune Dysregulation and ceRNA Network Data

Yuxuan Yao published a bioinformatics analysis on figshare in 2026. The dataset likely contains results from a study comparing peripheral blood miRNA and mRNA expression profiles between six spinal cord injury patients and six healthy controls. It includes identified core miRNAs, their target mRNAs, and constructed competing endogenous RNA networks.

Use Cases

• Validate diagnostic biomarkers for spinal cord injury based on the six identified core miRNAs.
• Analyze immune infiltration patterns based on the reported neutrophil, monocyte, and lymphocyte changes.
• Construct competing endogenous RNA regulatory networks based on the predicted miRNA-mRNA interactions.
• Investigate astrocyte-macrophage crosstalk in neural repair based on the functional assay results.
• Perform functional enrichment analysis on immune-related gene modules identified by WGCNA.

Strengths

• The dataset includes validation via RT-qPCR and functional assays (CCK-8, Transwell) in astrocytes.
• Core miRNAs were validated with AUC > 0.85 in ROC analysis.
• The study integrates data from six SCI patients and six controls with a public GEO dataset (GSE151371).

Limitations

• The dataset is 19.0 KB, indicating a very limited scope and likely summary-level results rather than raw data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely generated by combining patient blood miRNA data with public mRNA expression profiles from GEO (GSE151371), followed by bioinformatics and machine learning analysis.

Freshness

Last updated 2026-05-07 04:44:33; freshness should be verified.