Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

Avinash Veerappa published this dataset on figshare in March 2026. It contains transcriptomic data from four brain regions—midbrain, DLPFC, NAc, and amygdala—profiled to study substance use disorders. The analysis identified unique and shared gene signatures, including 186 genes exclusive to the midbrain and 442 in the amygdala.

Use Cases

• Identify unique gene expression biomarkers for specific brain regions based on the reported counts of exclusive genes.
• Analyze shared transcriptomic pathways across brain regions based on the described neuropeptide-neurotransmitter axis.
• Investigate the role of specific genes like CSF3, GADD45B, SOCS3, and NPAS4 in addiction-related signaling pathways.
• Validate network analysis methods for DEGs in substance use disorder contexts as described in the results.

Strengths

• Dataset is structured with specific gene counts for four brain regions (e.g., 186 genes for midbrain, 442 for amygdala).
• Analysis includes multiple methodologies: clustering, biclustering, WGCNA, and pathway enrichment.
• License is CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (450.0 KB), indicating limited scope or a summary-level dataset.

Provenance

Source

figshare, author Avinash Veerappa.

Collection Method

Transcriptomes were profiled from four brain regions and analyzed with clustering, biclustering, WGCNA, and pathway enrichment.

Time Range

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Freshness

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

Geography

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