Back to Search Start Over

Spatiotemporal transcriptome of the human brain

Authors :
Tobias Guennel
Kyle A. Meyer
Mark Reimers
Steven Lisgo
Yurae Shin
Matthew B. Johnson
Simone Mayer
Ying Zhu
André M. M. Sousa
Mihovil Pletikos
Daniel R. Weinberger
Sofia Fertuzinhos
Željka Krsnik
Thomas M. Hyde
Yuka Imamura Kawasawa
Mingfeng Li
Feng Cheng
Joel E. Kleinman
Alexander O. Vortmeyer
Goran Sedmak
Shrikant Mane
Xuming Xu
Hyo Jung Kang
Sheila Umlauf
Nenad Sestan
Anita Huttner
Source :
Nature
Publication Year :
2011

Abstract

Summary Here we report the generation and analysis of genome-wide exon-level transcriptome data from 16 brain regions comprising the cerebellar cortex, mediodorsal nucleus of the thalamus, striatum, amygdala, hippocampus, and 11 areas of the neocortex. The dataset was generated from 1,340 tissue samples collected from one or both hemispheres of 57 postmortem human brains, spanning from embryonic development to late adulthood and representing males and females of multiple ethnicities. We also performed genotyping of 2.5 million SNPs and assessed copy number variations for all donors. Approximately 86% of protein-coding genes were found to be expressed using stringent criteria, and over 90% of these were differentially regulated at the whole transcript or exon level across regions and/or time. The majority of these spatiotemporal differences occurred before birth, followed by an increase in the similarity among regional transcriptomes during postnatal lifespan. Genes were organized into functionally distinct co-expression networks, and sex differences were present in gene expression and exon usage. Finally, we demonstrate how these results can be used to profile trajectories of genes associated with neurodevelopmental processes, cell types, neurotransmitter systems, autism, and schizophrenia, as well as to discover associations between SNPs and spatiotemporal gene expression. This study provides a comprehensive, publicly available dataset on the spatiotemporal human brain transcriptome and new insights into the transcriptional foundations of human neurodevelopment.

Details

Language :
English
ISSN :
14764687 and 00280836
Volume :
478
Issue :
7370
Database :
OpenAIRE
Journal :
Nature
Accession number :
edsair.doi.dedup.....443aa341ae3ec24545ae298da40b1bdd