Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

186 unique genes were identified in the midbrain, 29 in the DLPFC, 160 in the NAc, and 442 in the amygdala in this transcriptomic study of substance use disorders. The dataset, created by Avinash Veerappa and last updated in March 2026, profiles gene expression across four brain regions to identify shared and unique molecular signatures associated with addiction. It results from clustering, biclustering, WGCNA, and pathway enrichment analyses of case versus control samples.

Use Cases

• Identify novel biomarker candidates for addiction susceptibility based on the reported unique gene signatures.
• Analyze shared neurobiological pathways, such as CREB signaling, across brain regions based on the enrichment results.
• Investigate the neuropeptide-neurotransmitter axis disruption suggested by the network analysis of DEGs.
• Compare region-specific transcriptomic responses (midbrain, DLPFC, NAc, amygdala) to chronic substance use.

Strengths

• Focuses on four key brain regions (midbrain, DLPFC, NAc, amygdala) with distinct functional roles in addiction.
• Reports specific counts of unique differentially expressed genes per region (e.g., 442 in amygdala).
• Identifies specific upregulated genes (CSF3, GADD45B, SOCS3, NPAS4) and enriched pathways (CREB Signaling).

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (27.5 KB), suggesting it contains summary or processed results rather than raw sequencing data.
• Sample size, demographic details, and specific substance cohorts are not described in the provided metadata.

Provenance

Source

figshare

Collection Method

Transcriptomic profiling integrated with clustering, biclustering, WGCNA, and pathway enrichment analyses.

Time Range

null

Freshness

Last updated 2026-03-18 05:22:42

Geography

null