Data Sheet 2_ALDH1A1-dopaminergic gene co-expression in human substantia nigra: meta-analy

Seven independent human substantia nigra microarray datasets (n=156 samples) were meta-analyzed to characterize ALDH1A1 gene co-expression changes in Parkinson's disease. Author Drake H. Harbert published this 7.3 KB CSV file on figshare in May 2026 under a CC-BY-4.0 license. The analysis reveals a selective attenuation of ALDH1A1 co-expression with dopaminergic pathway genes in Parkinson's disease compared to controls.

Use Cases

• Validate gene co-expression signatures for Parkinson's disease based on the meta-analysis of seven independent datasets.
• Study the relationship between ALDH1A1 and dopaminergic genes (TH, DDC, SLC18A2) based on correlation coefficients provided.
• Assess cell-type enrichment changes in neurodegenerative disease using marker gene-based scoring methods described.
• Benchmark new Parkinson's disease gene expression findings against the pooled correlation estimates and heterogeneity statistics.

Strengths

• Integrates data from seven independent human substantia nigra microarray datasets, totaling 156 samples (70 controls, 86 PD).
• Applies random-effects meta-analysis with DerSimonian-Laird estimation and permutation testing (n=5,000) for statistical rigor.
• Results are consistent across all examined datasets, showing attenuated ALDH1A1 co-expression in Parkinson's disease.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.
• The 7.3 KB file size indicates a very small, likely summary-level dataset rather than raw expression data.

Provenance

Source

Gene Expression Omnibus (GEO), as cited in the description.

Collection Method

Meta-analysis of gene expression correlations from seven independent human substantia nigra microarray datasets.

Freshness

Last updated 2026-05-19 05:30:32; freshness should be verified.