Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

Transcriptomic data from four brain regions—midbrain, dorsolateral prefrontal cortex (DLPFC), nucleus accumbens (NAc), and amygdala—profiled to study substance use disorders. The dataset identifies 186, 29, 160, and 442 unique differentially expressed genes for each region respectively, along with shared signatures. It was published by Avinash Veerappa on figshare under a CC-BY-4.0 license and last updated in March 2026.

Use Cases

• Identify unique gene signatures for specific brain regions based on the reported counts of 186, 29, 160, and 442 exclusive genes.
• Analyze shared transcriptomic pathways across brain regions based on the described neuropeptide-neurotransmitter axis and CREB signaling enrichment.
• Discover novel biomarkers for addiction susceptibility as mentioned in the study discussion.
• Validate network analysis results using the described WGCNA and biclustering methods on the regional transcriptomes.

Strengths

• Focuses on four key brain regions (midbrain, DLPFC, NAc, amygdala) implicated in reward and addiction.
• Reports specific counts of unique differentially expressed genes for each region (e.g., 442 in amygdala).
• Includes results from multiple analytical methods: clustering, biclustering, WGCNA, and pathway enrichment.

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 (16.3 KB), suggesting limited scope or summary-level 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

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Freshness

Last updated 2026-03-18 05:22:46; freshness should be verified.

Geography

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