NIH's Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative - Cell Census Network (BICCN) aims to provide researchers and the public with a comprehensive reference of the diverse cell types in human, mouse, and non-human primate brain. A network of integrated centers and laboratories including U01, RF1, and U19 data generating centers, R24 data archives, and a U24 Brain Cell Data Center (BCDC) are working collaboratively to generate, map, and share these data with the community.
A comprehensive understanding of brain cell types is essential to understand how neural circuits generate perception and complex behaviors. Identifying and characterizing brain cell types, with the means to target each cell type, will elucidate the functional interactions that give rise to the emergent properties of the central nervous system. Toward this end, the overarching goals of the BICCN are to:
Each BICCN project contributes publicly accessible data to a multimodal classification of cell types based on transcriptomic and epigenetic, morphology and connectivity, and physiological signatures of cells.
The data generating projects associated with the BICCN and their specific cell type profiling techniques are shown below. Filled cells indicate ongoing and planned data generation in mouse, non-human primate, and human. More details for each project are available on the portal team pages.
The role of the BCDC is to provide public access to and organization of the complex data, tools, and knowledge derived by the BICCN. The BICCN Portal serves as an entry point for BICCN activities and provides access to BICCN datasets stored at the R24 data archives. As our knowledge of the relationship of BICCN data modalities is uncovered, cell type summary knowledge will be presented to help enhance our understanding of the role of cell types in the brain.
All BICCN data meeting suitable quality control standards is immediately available to the public through several R24 data archives and accessible through this site. The BICCN data archives include: