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Spatiotemporal transcriptome of the human brain
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 col...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566780/ https://www.ncbi.nlm.nih.gov/pubmed/22031440 http://dx.doi.org/10.1038/nature10523 |
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author | Kang, Hyo Jung Kawasawa, Yuka Imamura Cheng, Feng Zhu, Ying Xu, Xuming Li, Mingfeng Sousa, André M. M. Pletikos, Mihovil Meyer, Kyle A. Sedmak, Goran Guennel, Tobias Shin, Yurae Johnson, Matthew B. Krsnik, Željka Mayer, Simone Fertuzinhos, Sofia Umlauf, Sheila Lisgo, Steven N. Vortmeyer, Alexander Weinberger, Daniel R. Mane, Shrikant Hyde, Thomas M. Huttner, Anita Reimers, Mark Kleinman, Joel E. Šestan, Nenad |
author_facet | Kang, Hyo Jung Kawasawa, Yuka Imamura Cheng, Feng Zhu, Ying Xu, Xuming Li, Mingfeng Sousa, André M. M. Pletikos, Mihovil Meyer, Kyle A. Sedmak, Goran Guennel, Tobias Shin, Yurae Johnson, Matthew B. Krsnik, Željka Mayer, Simone Fertuzinhos, Sofia Umlauf, Sheila Lisgo, Steven N. Vortmeyer, Alexander Weinberger, Daniel R. Mane, Shrikant Hyde, Thomas M. Huttner, Anita Reimers, Mark Kleinman, Joel E. Šestan, Nenad |
author_sort | Kang, Hyo Jung |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3566780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
record_format | MEDLINE/PubMed |
spelling | pubmed-35667802013-02-07 Spatiotemporal transcriptome of the human brain Kang, Hyo Jung Kawasawa, Yuka Imamura Cheng, Feng Zhu, Ying Xu, Xuming Li, Mingfeng Sousa, André M. M. Pletikos, Mihovil Meyer, Kyle A. Sedmak, Goran Guennel, Tobias Shin, Yurae Johnson, Matthew B. Krsnik, Željka Mayer, Simone Fertuzinhos, Sofia Umlauf, Sheila Lisgo, Steven N. Vortmeyer, Alexander Weinberger, Daniel R. Mane, Shrikant Hyde, Thomas M. Huttner, Anita Reimers, Mark Kleinman, Joel E. Šestan, Nenad Nature Article 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. 2011-10-26 /pmc/articles/PMC3566780/ /pubmed/22031440 http://dx.doi.org/10.1038/nature10523 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Kang, Hyo Jung Kawasawa, Yuka Imamura Cheng, Feng Zhu, Ying Xu, Xuming Li, Mingfeng Sousa, André M. M. Pletikos, Mihovil Meyer, Kyle A. Sedmak, Goran Guennel, Tobias Shin, Yurae Johnson, Matthew B. Krsnik, Željka Mayer, Simone Fertuzinhos, Sofia Umlauf, Sheila Lisgo, Steven N. Vortmeyer, Alexander Weinberger, Daniel R. Mane, Shrikant Hyde, Thomas M. Huttner, Anita Reimers, Mark Kleinman, Joel E. Šestan, Nenad Spatiotemporal transcriptome of the human brain |
title | Spatiotemporal transcriptome of the human brain |
title_full | Spatiotemporal transcriptome of the human brain |
title_fullStr | Spatiotemporal transcriptome of the human brain |
title_full_unstemmed | Spatiotemporal transcriptome of the human brain |
title_short | Spatiotemporal transcriptome of the human brain |
title_sort | spatiotemporal transcriptome of the human brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566780/ https://www.ncbi.nlm.nih.gov/pubmed/22031440 http://dx.doi.org/10.1038/nature10523 |
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