Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

A 2026 study by Avinash Veerappa profiles gene expression in four brain regions to investigate substance use disorders. The dataset contains transcriptomic signatures from the midbrain, dorsolateral prefrontal cortex, nucleus accumbens, and amygdala, identifying unique and shared genes. Analysis includes clustering, biclustering, WGCNA, and pathway enrichment results.

Use Cases

• Identify biomarkers for addiction susceptibility based on the novel genes mentioned in the description.
• Analyze shared neurobiological pathways across brain regions based on the enriched CREB Signaling in Neurons pathway.
• Compare unique transcriptomic signatures for specific brain regions based on the counts of exclusive genes.
• Investigate network interactions in substance use disorders based on the described neuropeptide-neurotransmitter axis.

Strengths

• Identifies specific counts of exclusive genes for each brain region: 186 for midbrain, 29 for DLPFC, 160 for NAc, and 442 for amygdala.
• Includes results from multiple analytical methods: clustering, biclustering, WGCNA, and pathway enrichment.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (18.1 KB), indicating limited scope, likely containing summary results rather than raw 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

Study published in 2026.

Freshness

Last updated 2026-03-18 05:22:33; freshness should be verified.

Geography

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