Tetrapartite Brain Region Transcriptomic Signatures for Substance Use Disorders

186 to 442 unique genes were identified in each of four brain regions from a transcriptomic analysis of substance use disorders. The dataset contains results from clustering, biclustering, WGCNA, and pathway enrichment analyses of midbrain, DLPFC, NAc, and amygdala samples. Authored by Avinash Veerappa and shared under CC-BY-4.0 in March 2026.

Use Cases

• Identify potential novel biomarkers for addiction susceptibility based on the reported gene signatures.
• Analyze shared neurocircuitry disruptions via the neuropeptide-neurotransmitter axis identified in the network analysis.
• Validate pathway enrichment findings, such as CREB Signaling in Neurons, in independent models of chronic substance use.
• Compare unique and shared transcriptomic signatures across the midbrain, DLPFC, NAc, and amygdala for targeted intervention studies.

Strengths

• Analysis covers four key brain regions (midbrain, DLPFC, NAc, amygdala) implicated in substance use.
• Identifies specific counts of unique genes per region (e.g., 186 in midbrain, 442 in amygdala).
• Integrates multiple analytical methods (clustering, biclustering, WGCNA, 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 25.7 KB file size suggests a limited, likely summary-level dataset rather than raw expression data.

Provenance

Source

figshare

Collection Method

Transcriptome profiling and integrated bioinformatics analysis of four brain regions from cases versus controls.

Time Range

null

Freshness

Last updated 2026-03-18 05:22:45; freshness should be verified.

Geography

null