Data Sheet 6_ALDH1A1-dopaminergic gene co-expression in human substantia nigra: meta-analy

Seven independent human substantia nigra microarray datasets (n=156 samples) were analyzed by Drake H. Harbert. The data, last updated in 2026, contains results from a meta-analysis of gene expression correlations between ALDH1A1 and dopaminergic pathway genes in Parkinson's disease versus controls.

Use Cases

• Validate gene co-expression patterns in Parkinson's disease based on the described correlation analysis between ALDH1A1 and dopaminergic genes.
• Conduct secondary meta-analysis based on the reported pooled estimates and heterogeneity statistics from seven independent datasets.
• Investigate cell-type specific gene expression changes based on the marker gene-based enrichment scoring methodology described.
• Study retinoic acid pathway disruption in neurodegeneration based on the findings related to ALDH1A1 attenuation.

Strengths

• Analysis integrates data from seven independent datasets totaling 156 samples (70 controls, 86 PD).
• Results include pooled correlation estimates generated via random-effects meta-analysis with heterogeneity statistics.
• Findings are supported by permutation testing (n=5,000) and cell-type enrichment adjustments.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small (1.1 KB), suggesting it contains summary results rather than raw expression data.
• Description metadata is limited; actual data structure and field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Meta-analysis of gene expression correlations from seven human substantia nigra microarray datasets sourced from the Gene Expression Omnibus.

Freshness

Last updated 2026-05-19 05:30:33; freshness should be verified.