Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

Avinash Veerappa's dataset, last updated March 2026, profiles transcriptomes from four brain regions to study substance use disorders. The analysis identifies 186, 29, 160, and 442 uniquely dysregulated genes in the midbrain, DLPFC, NAc, and amygdala, respectively. It also reveals shared gene upregulation and network interactions via a neuropeptide-neurotransmitter axis.

Use Cases

• Identify potential novel biomarkers for addiction susceptibility based on the reported novel gene signatures.
• Analyze shared pathway dysregulation (e.g., CREB Signaling in Neurons) across brain regions based on the enrichment results mentioned.
• Investigate region-specific gene expression patterns for substance use based on the counts of exclusive genes per brain region.
• Model network interactions between differentially expressed genes via the described neuropeptide-neurotransmitter axis.

Strengths

• Provides specific counts of uniquely dysregulated genes per brain region (e.g., 442 in amygdala).
• Identifies specific shared upregulated genes (CSF3, GADD45B, SOCS3, NPAS4) and a key enriched pathway (CREB Signaling in Neurons).
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 15.2 KB file size suggests a limited scope, likely containing summary results rather than raw expression data.

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

The study period is not specified in the provided metadata.

Freshness

Last updated 2026-03-18 05:22:35; freshness should be verified.

Geography

The geographic origin of the samples is not specified.