scBrainMap

scBrainMap catalogs brain cell types and associated genetic markers across 14 species and 124 brain regions using single-cell transcriptome data from 6,577,222 individual cells to support comparative and disease-related analyses.

Key Features:

• Extensive Data Repository: The database contains 4,881 distinct brain cell types compiled from single-cell transcriptome data encompassing 6,577,222 individual cells.
• Genetic Marker Collection: The resource includes 26,044 genetic markers identified from single-cell transcriptome analyses.
• Cross-Species Coverage: Data are integrated across 14 species to enable comparative investigations.
• Cross-Region Coverage: The dataset covers 124 distinct brain regions to represent spatial distribution of cell types.
• Disease State Integration: The database includes annotations for 20 disease states to support pathological comparisons.
• Quantitative Marker Associations: The resource provides quantitative associations between cell types and genetic markers derived from single-cell transcriptomes.

Scientific Applications:

• Neuroscience Research: Characterizing cellular composition and properties of neuronal circuits using single-cell resolved cell-type definitions.
• Comparative Studies: Enabling cross-species comparisons to investigate evolutionary and developmental differences in brain cell types.
• Disease Modeling and Biomarker Discovery: Linking genetic markers with 20 annotated disease states to inform disease modeling and potential biomarker identification.

Methodology:

Single-cell transcriptome technology was used to group and characterize brain cell types at high resolution.