126 Enriched Pathways of Differentially Expressed Genes in Spinal Cord Injury

126 enriched pathways derived from differentially expressed genes (DEGs) in spinal cord injury (SCI) research. The dataset was created by Xiaowei Zha and last updated on 2026-05 04. It includes results from machine learning analysis identifying three hub genes (Soat1, Comt, Myo1f) and in silico predictions for 37 small molecule drug candidates.

Use Cases

• Functional enrichment analysis based on the 126 immune-related pathways mentioned in the description
• Validation of hub gene expression (Soat1, Comt, Myo1f) in single-cell RNA sequencing data for macrophage subtypes
• Prioritization of drug candidates based on the list of 37 predicted small molecules, including dexamethasone and atorvastatin
• Correlation analysis between hub gene expression and immune infiltration profiles across 11 immune gene sets

Strengths

• Includes results from multiple machine learning algorithms (LASSO, RF, XGBoost) used for gene selection
• Contains in silico drug predictions for 37 specific small molecules
• Findings were validated using RT-qPCR in SCI models, as stated in the description

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 at 25.1 KB, indicating limited scope

Provenance

Source

figshare

Collection Method

Derived from bioinformatics analysis of spinal cord injury data, intersecting differentially expressed genes with macrophage polarization-related genes.

Time Range

null

Freshness

Last updated 2026-05-04 17:30:33; freshness should be verified

Geography

null