Tetrapartite Brain Region Transcriptomic Signatures for Substance Use Disorders

186 to 442 unique genes were identified in four key brain regions of substance-use cases versus controls. This dataset contains transcriptomic profiles from the midbrain, dorsolateral prefrontal cortex, nucleus accumbens, and amygdala, analyzed with clustering and network methods. The data was uploaded by Avinash Veerappa in March 2026 under a CC-BY-4.0 license.

Use Cases

• Identify shared and unique gene signatures for substance use based on region-specific transcriptomic profiles.
• Analyze pathway enrichment, such as CREB Signaling in Neurons, based on upregulated genes like CSF3 and NPAS4.
• Investigate network interactions via the neuropeptide-neurotransmitter axis described in the results.
• Discover novel biomarkers for addiction susceptibility risk mentioned in the discussion.

Strengths

• Focuses on four distinct brain regions (midbrain, DLPFC, NAc, amygdala) implicated in substance use.
• Identifies specific counts of unique genes per region (e.g., 442 in amygdala, 186 in midbrain).
• Includes results from multiple analytical methods: 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.
• The 386.4 KB file size suggests a limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Transcriptomes were profiled from four brain regions and analyzed with bioinformatics methods.

Time Range

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Freshness

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

Geography

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