Six differentially expressed miRNAs were identified from peripheral blood samples of six SCI patients and six healthy controls. The dataset includes bioinformatics analysis results, machine learning-derived core miRNAs, and validation data from functional experiments on astrocytes. It was authored by Yuxuan Yao and published on figshare in May 2026.
Use Cases
- Validate predicted miRNA biomarkers for SCI diagnosis based on ROC analysis results.
- Analyze immune infiltration patterns based on neutrophil, monocyte, and lymphocyte counts.
- Study astrocyte-macrophage crosstalk in SCI repair based on functional assay results.
- Construct competing endogenous RNA regulatory networks based on predicted miRNA-mRNA interactions.
- Identify potential therapeutic targets for SCI based on the identified immune-related pathways.
Strengths
- Includes validation data from RT-qPCR and functional assays (CCK-8, Transwell) on C8-D1A astrocytes.
- Core miRNAs were validated with AUC > 0.85 in ROC analysis.
- Analysis integrates multiple methods: LASSO, SVM-RFE, WGCNA, and immune infiltration.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is very small (31.0 KB), indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Peripheral blood miRNA and mRNA expression profiles from SCI patients and healthy controls, combined with GEO dataset GSE151371.
- Freshness
- Last updated 2026-05-07 04:44:34; freshness should be verified.