Tetrapartite Brain Region Transcriptomic Signatures for Substance Use Disorders

Avinash Veerappa's study profiles transcriptomes from four brain regions—midbrain, dorsolateral prefrontal cortex (DLPFC), nucleus accumbens (NAc), and amygdala—to investigate substance use disorders. The dataset, last updated in March 2026, contains results from clustering, biclustering, WGCNA, and pathway enrichment analyses, identifying unique and shared gene signatures across regions. It includes findings on 186 genes exclusive to midbrain, 29 to DLPFC, 160 to NAc, and 442 in amygdala, with specific genes like CSF3, GADD45B, SOCS3, and NPAS4 highlighted.

Use Cases

• Identify shared and unique gene expression patterns across brain regions based on the transcriptomic signatures described.
• Analyze pathway enrichment, such as CREB Signaling in Neurons, based on the upregulated genes mentioned in the results.
• Investigate the neuropeptide-neurotransmitter axis network suggested by the differential expression analysis.
• Validate known and novel biomarkers for addiction susceptibility risk referenced in the discussion.

Strengths

• Identifies specific counts of unique genes per region: 186 in midbrain, 29 in DLPFC, 160 in NAc, and 442 in amygdala.
• Integrates multiple analytical methods: clustering, biclustering, WGCNA, and pathway enrichment.
• Released under a permissive CC-BY-4.0 license, facilitating 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 (21.2 KB), suggesting it contains summary results rather than raw expression data.

Provenance

Source

figshare, author Avinash Veerappa.

Collection Method

Transcriptome profiling from four brain regions, followed by integrated bioinformatics analysis.

Time Range

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Freshness

Last updated 2026-03-18 05:22:47; freshness should be verified.

Geography

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