Transcriptomic Signatures in Four Brain Regions for Substance Use Disorders

Avinash Veerappa published this transcriptomic dataset on figshare in March 2026. It contains gene expression profiles from four brain regions—midbrain, dorsolateral prefrontal cortex, nucleus accumbens, and amygdala—comparing cases with chronic substance use to controls. The analysis identified unique and shared differentially expressed genes and enriched pathways related to addiction neurocircuitry.

Use Cases

• Identify unique gene signatures 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.
• Validate candidate biomarkers for addiction susceptibility based on the mention of novel biomarkers.
• Investigate the role of specific genes like CSF3, GADD45B, SOCS3, and NPAS4 in CREB signaling pathways.
• Compare differential expression patterns between substance use cases and controls across the four profiled regions.

Strengths

• Focuses on four key brain regions implicated in reward, craving, and emotion, as described.
• Reports specific counts of unique genes per region: 186 in midbrain, 29 in DLPFC, 160 in NAc, and 442 in amygdala.
• Data is openly shared under a CC-BY-4.0 license, permitting reuse with attribution.
• Analysis integrates multiple methods: clustering, biclustering, WGCNA, and 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 dataset is small at 89.0 KB, indicating limited scope or a summary-level dataset.

Provenance

Source

figshare

Collection Method

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

Time Range

null

Freshness

Last updated 2026-03-18 05:22:33; freshness should be verified.

Geography

null