Allen Brain Atlas-API

Allen Brain Atlas-API integrates gene expression, connectivity, and neuroanatomical data across adult and developing mouse, human, and non-human primate brains to enable anatomical mapping of approximately 20,000 genes and cellular-resolution functional genomics.

Key Features:

• High-Resolution Data: Provides cellular-resolution gene expression patterns, including approximately 20,000 genes in the adult mouse brain, for detailed functional genomics analyses.
• Automated High-Throughput Procedures: Employs automated high-throughput in situ hybridization and data acquisition to generate standardized digital atlases.
• Image-Based Informatics Tools: Enables genome-scale structural analysis, cross-correlation studies, and detection of regionally enriched genes from image datasets.
• Identification of Cellular Markers: Supports identification of highly specific cellular markers and reveals cellular heterogeneity not apparent in traditional neuroanatomical atlases.

Scientific Applications:

• Functional Genomics Research: Maps gene expression to anatomical structures to study relationships between genes, brain structure, and behavior.
• Neuroscience Studies: Facilitates investigation of brain organization, neural circuitry, and cellular diversity at fine anatomical resolution.
• Comparative Analysis: Enables cross-species comparisons among mouse, human, and non-human primate brains to examine evolutionary and developmental differences.

Methodology:

Automated high-throughput in situ hybridization image data are assembled into a standardized digital atlas and analyzed with image-based informatics tools to integrate gene expression, connectivity, and neuroanatomical information.