BrainBase

BrainBase integrates curated disease–gene associations, drug–target interactions, gene expression specificity data, and multi-omics glioma profiles to support research into the genetic and molecular basis of brain diseases.

Key Features:

• Manual curation and data integration: Manual curation of 2,768 published articles combined with data retrieved from public databases.
• Disease–gene associations: A collection of 7,175 disease–gene associations linking 123 distinct brain diseases to 5,662 genes.
• Drug–target interactions: Catalog of 16,591 drug–target interactions involving 2,118 drugs or chemicals and 623 genes.
• Gene expression specificity: Categorization of genes by expression specificity across brain tissue/regions, cerebrospinal fluid, and cells.
• Glioma multi‑omics profiles: Incorporation of 21 multi-omics datasets and identification of four groups of glioma-associated genes with potential clinical relevance.

Scientific Applications:

• Genetic etiology of brain diseases: Support for identifying genetic factors and disease–gene relationships in neurological conditions.
• Pharmacology and drug discovery: Resource for exploring drug–target interactions relevant to brain disease therapeutics.
• Functional genomics: Analysis of gene expression specificity across brain tissues, cerebrospinal fluid, and cell types to infer gene function.
• Glioma research and clinical relevance: Molecular profiling and gene-group identification to inform studies of glioma mechanisms and potential clinical markers.

Methodology:

Manual curation of 2,768 published articles, retrieval of data from public databases, categorization of gene expression specificity across brain tissue/regions, cerebrospinal fluid, and cells, incorporation of 21 multi-omics glioma datasets, and identification of four groups of glioma-associated genes.