Data Sheet 5_ALDH1A1-dopaminergic gene co-expression in human substantia nigra: meta-analy

A meta-analysis of gene expression correlations across seven independent human substantia nigra microarray datasets, comprising 156 samples (70 controls, 86 Parkinson's disease). The dataset, authored by Drake H. Harbert and last updated in May 2026, reports correlation changes between the ALDH1A1 gene and dopaminergic pathway genes in Parkinson's disease.

Use Cases

• Validate gene co-expression attenuation in Parkinson's disease based on the reported correlation coefficients.
• Perform secondary meta-analysis on dopaminergic pathway genes using the aggregated dataset.
• Investigate the role of retinoic acid biosynthesis disruption in neurodegeneration based on the ALDH1A1 findings.
• Benchmark cell type enrichment scoring methods against the reported marker gene-based results.

Strengths

• Aggregates data from seven independent human substantia nigra microarray datasets.
• Includes 156 total samples (70 controls, 86 Parkinson's disease cases).
• Reports specific correlation coefficients (e.g., mean r = 0.92–0.93 for TH, DDC, SLC18A2 in controls).
• Applies random-effects meta-analysis and permutation testing (n=5,000) for statistical rigor.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (7.9 KB), indicating it contains summary statistics rather than raw expression data.
• Data may reflect bias inherent to the source microarray studies aggregated from the Gene Expression Omnibus.

Provenance

Source

Gene Expression Omnibus (GEO), aggregated via figshare.

Collection Method

Meta-analysis of seven independent human substantia nigra microarray datasets.

Freshness

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