Mapping gene expression in the CNS: Tools and data from the Allen Institute for Brain Science
演題番号 : S1-1-1-1
Allan R Jones:1
1:Allen Institute for Brain Science
Since its inception in 2003, the Allen Institute for Brain Science has generated a series of large scale atlases of histological and gene expression (in situ hybridization) data for multiple species, and has developed high-throughput capabilities for generating and then mapping these data back to their original three-dimensional context. To date, we have used these capabilities to produce over a petabyte of image data from over 2.5 million tissue sections, all provided freely and publicly available in atlases and databases (www.brain-map.org) of the adult mouse brain, the developing mouse brain, and the mouse spinal cord. In addition we have created or are in the process of creating databases pertaining to mouse strain diversity, postnatal developing macaque brain, the developing human brain, human glioblastoma, and the human neocortex. Through the creation of these public resources, our team has defined and addressed atlas- and problem-specific needs for high-throughput automated and semi-automated workflows. In May 2010, we released our first data for a whole human brain atlas. This first release consists of multi-modal data from a single human brain: Histology data was generated throughout each brain and provides microscopic level anatomical detail and annotation. Genome-wide, anatomically comprehensive gene expression data were generated using microarrays for approximately 1,000 discrete anatomic samples across the brain: 600 samples across 110 cortical structures, 175 samples across 75 subcortical structures, 60 samples across 15 cerebellar structures, and 100 samples across 45 brainstem structures. All of these data are in spatially registered with respect to high quality, specimen specific MRI and diffusion tensor imaging data to establish three-dimensional context. The presentation will cover an overview of the Allen Institute, its projects and infrastructure, and a look at a few specific examples of gene expression results.