1,297 GO Items of Differentially Expressed Genes for Spinal Cord Injury Analysis

1,297 Gene Ontology (GO) items related to differentially expressed genes (DEGs) in spinal cord injury (SCI), authored by Xiaowei Zha and last updated on 2026-05-04. The dataset was created by intersecting DEGs between SCI and control groups with macrophage polarization-related genes (MPRGs) to identify six DE-MPRGs. It includes results from machine learning algorithms and functional enrichment analyses.

Use Cases

• Identifying hub genes for SCI diagnosis and prognosis based on the three selected genes (Soat1, Comt, Myo1f).
• Conducting functional enrichment analysis based on the immune-related pathways indicated in the dataset.
• Validating gene expression patterns in macrophage subtypes based on single-cell RNA sequencing results mentioned in the description.
• Screening for potential drug candidates based on the 37 small molecules identified through in silico prediction.

Strengths

• Includes 1,297 GO items, providing a focused set of annotations for analysis.
• Results are validated via RT-qPCR in SCI models, as mentioned in the description.
• Data is openly licensed under CC-BY-4.0, facilitating reuse.

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 small (188.9 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Generated from differential expression analysis and intersection with a predefined gene set (MPRGs), followed by machine learning selection.

Time Range

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Freshness

Last updated 2026-05-04 17:30:32; freshness should be verified.

Geography

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