Tetrapartite Brain Region Transcriptomic Signatures for Substance Use Disorders

Avinash Veerappa published transcriptomic data from four brain regions in 2026. The dataset contains gene expression signatures from the midbrain, dorsolateral prefrontal cortex, nucleus accumbens, and amygdala, comparing cases with chronic substance use to controls. Analysis identified 186, 29, 160, and 442 unique differentially expressed genes per region, respectively, and shared pathways like CREB Signaling in Neurons.

Use Cases

• Identify shared and unique gene biomarkers for substance use disorders based on region-specific transcriptomic signatures.
• Analyze network interactions in neurocircuitry based on the described neuropeptide-neurotransmitter axis.
• Validate candidate genes like CSF3, GADD45B, SOCS3, and NPAS4 in the context of addiction susceptibility.
• Conduct pathway enrichment analysis based on the CREB Signaling in Neurons pathway mentioned in the results.

Strengths

• Specific gene counts are provided: 186 exclusive to midbrain, 29 to DLPFC, 160 to NAc, and 442 in amygdala.
• Analysis integrates multiple methods: clustering, biclustering, WGCNA, and pathway enrichment.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 22.3 KB, indicating limited scope.
• Sample data is unavailable, preventing preview of data structure.

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 05:22:43; freshness should be verified.

Geography

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