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. The dataset contains results from transcriptome profiling and network analysis, authored by Avinash Veerappa and last updated in March 2026. It is a 27.5 KB Excel file shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identify shared and unique gene signatures for substance use based on transcriptomic data from four brain regions.
• Analyze pathway enrichment, such as CREB Signaling in Neurons, based on upregulated genes like CSF3 and GADD45B.
• Investigate network interactions via the neuropeptide-neurotransmitter axis described in the results.
• Validate or discover novel biomarkers for addiction susceptibility mentioned in the discussion.

Strengths

• Specific gene counts are provided for each region (e.g., 186 exclusive to midbrain, 442 in amygdala).
• Analysis integrates multiple methods: clustering, biclustering, WGCNA, and pathway enrichment.
• Data is openly licensed (CC-BY-4.0) and hosted on a reputable platform (figshare).

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small (27.5 KB), indicating limited scope, likely containing summary results rather than raw data.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

Avinash Veerappa via figshare.

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 05:22:44.

Geography

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