Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

A transcriptomic analysis of four brain regions—midbrain, dorsolateral prefrontal cortex (DLPFC), nucleus accumbens (NAc), and amygdala—from cases versus controls. The dataset, created by Avinash Veerappa and last updated in March 2026, contains results identifying 186, 29, 160, and 442 uniquely dysregulated genes per region, respectively, and shared pathway enrichments. It is a 921.7 KB Excel file licensed under CC-BY-4.0.

Use Cases

• Identify unique gene signatures for specific brain regions based on the reported counts of exclusive genes.
• Analyze shared transcriptomic pathways across brain regions based on the described neuropeptide-neurotransmitter axis and CREB signaling enrichment.
• Validate novel biomarkers for addiction susceptibility mentioned in the study discussion.
• Compare differential expression patterns between cases and controls across the four profiled brain regions.

Strengths

• Provides specific counts of uniquely dysregulated genes per brain region (e.g., 186 for midbrain, 442 for amygdala).
• Includes results from multiple analytical methods: clustering, biclustering, WGCNA, and pathway enrichment.
• Focuses on four key brain regions with distinct functional roles in substance use disorders.

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 (921.7 KB), suggesting limited scope, likely containing summary results rather than raw expression data.

Provenance

Source

figshare, author Avinash Veerappa.

Collection Method

Transcriptomes were profiled from four brain regions and analyzed with clustering, biclustering, WGCNA, and pathway enrichment.

Time Range

The study period is not specified.

Freshness

Last updated 2026-03-18 05:22:34; freshness should be verified.

Geography

Geographic coverage is not specified.