Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

186 to 442 unique differentially expressed genes were identified across four brain regions (midbrain, DLPFC, NAc, amygdala) in a study of chronic substance use. The dataset contains results from transcriptome profiling, clustering, and network analysis, authored by Avinash Veerappa and last updated in March 2026. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identify shared and unique gene biomarkers for addiction risk based on region-specific transcriptomic signatures.
• Analyze pathway enrichment, such as CREB Signaling in Neurons, based on upregulated genes like CSF3 and GADD45B.
• Study network interactions via a neuropeptide-neurotransmitter axis based on interconnected DEGs across brain regions.
• Compare differential gene expression patterns in midbrain, DLPFC, NAc, and amygdala for substance use disorders.

Strengths

• Focus on four key brain regions (midbrain, DLPFC, NAc, amygdala) implicated in reward and addiction.
• Identifies specific counts of unique genes per region (e.g., 186 in midbrain, 442 in amygdala).
• Analysis integrates multiple methods: transcriptome profiling, clustering, biclustering, WGCNA, and pathway enrichment.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific study's sample and methodology on figshare.

Provenance

Source

Avinash Veerappa via figshare.

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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