Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

186 to 442 unique differentially expressed genes were identified in each of four brain regions (midbrain, DLPFC, NAc, amygdala) from cases versus controls. This dataset, created by Avinash Veerappa and last updated in March 2026, contains results from transcriptome profiling, clustering, and network analyses to study addiction. It highlights shared and unique gene signatures, including upregulation of CSF3, GADD45B, SOCS3, and NPAS4, linked to CREB signaling pathways.

Use Cases

• Identify potential biomarkers for addiction susceptibility based on the novel genes mentioned in the study.
• Analyze shared neurobiological pathways across brain regions based on the enriched CREB Signaling pathway.
• Compare region-specific gene expression patterns based on the counts of exclusive genes for the midbrain, DLPFC, NAc, and amygdala.
• Investigate network interactions in substance use disorders based on the described neuropeptide-neurotransmitter axis.

Strengths

• Focuses on four key brain regions (midbrain, DLPFC, NAc, amygdala) implicated in reward and addiction.
• Identifies specific counts of unique genes per region (e.g., 186 exclusive to midbrain, 442 in amygdala).
• Results are derived from multiple analytical methods including clustering, biclustering, WGCNA, and pathway enrichment.
• Dataset is openly shared under a CC-BY-4.0 license.

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 (17.4 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, integrated with clustering, biclustering, WGCNA, and pathway enrichment analyses.

Time Range

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Freshness

Last updated 2026-03-18 05:22:42; freshness should be verified.

Geography

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