4.8 Article

An anatomically comprehensive atlas of the adult human brain transcriptome

Journal

NATURE
Volume 489, Issue 7416, Pages 391-399

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature11405

Keywords

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Funding

  1. Department of Health and Human Services Health Resources and Services Administration Awards [1C76HF15069-01-00, 1 1C76HF19619-01-00]
  2. MRCD
  3. Wellcome Trust
  4. European Union Seventh Framework Programme [241498 EUROSPIN, 242167 SynSys, 241995 GENCODYS]
  5. MRC [G0802238, G0700399] Funding Source: UKRI
  6. Medical Research Council [G0700399, G0802238] Funding Source: researchfish

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Neuroanatomically precise, genome-wide maps of transcript distributions are critical resources to complement genomic sequence data and to correlate functional and genetic brain architecture. Here we describe the generation and analysis of a transcriptional atlas of the adult human brain, comprising extensive histological analysis and comprehensive microarray profiling of similar to 900 neuroanatomically precise subdivisions in two individuals. Transcriptional regulation varies enormously by anatomical location, with different regions and their constituent cell types displaying robust molecular signatures that are highly conserved between individuals. Analysis of differential gene expression and gene co-expression relationships demonstrates that brain-wide variation strongly reflects the distributions of major cell classes such as neurons, oligodendrocytes, astrocytes and microglia. Local neighbourhood relationships between fine anatomical subdivisions are associated with discrete neuronal subtypes and genes involved with synaptic transmission. The neocortex displays a relatively homogeneous transcriptional pattern, but with distinct features associated selectively with primary sensorimotor cortices and with enriched frontal lobe expression. Notably, the spatial topography of the neocortex is strongly reflected in its molecular topography-the closer two cortical regions, the more similar their transcriptomes. This freely accessible online data resource forms a high-resolution transcriptional baseline for neurogenetic studies of normal and abnormal human brain function.

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