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Evolutionary conservation and divergence of the human brain transcriptome

BACKGROUND: Mouse models have allowed for the direct interrogation of genetic effects on molecular, physiological, and behavioral brain phenotypes. However, it is unknown to what extent neurological or psychiatric traits may be human- or primate-specific and therefore which components can be faithfu...

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Autores principales: Pembroke, William G., Hartl, Christopher L., Geschwind, Daniel H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844938/
https://www.ncbi.nlm.nih.gov/pubmed/33514394
http://dx.doi.org/10.1186/s13059-020-02257-z
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author Pembroke, William G.
Hartl, Christopher L.
Geschwind, Daniel H.
author_facet Pembroke, William G.
Hartl, Christopher L.
Geschwind, Daniel H.
author_sort Pembroke, William G.
collection PubMed
description BACKGROUND: Mouse models have allowed for the direct interrogation of genetic effects on molecular, physiological, and behavioral brain phenotypes. However, it is unknown to what extent neurological or psychiatric traits may be human- or primate-specific and therefore which components can be faithfully recapitulated in mouse models. RESULTS: We compare conservation of co-expression in 116 independent data sets derived from human, mouse, and non-human primate representing more than 15,000 total samples. We observe greater changes occurring on the human lineage than mouse, and substantial regional variation that highlights cerebral cortex as the most diverged region. Glia, notably microglia, astrocytes, and oligodendrocytes are the most divergent cell type, three times more on average than neurons. We show that cis-regulatory sequence divergence explains a significant fraction of co-expression divergence. Moreover, protein coding sequence constraint parallels co-expression conservation, such that genes with loss of function intolerance are enriched in neuronal, rather than glial modules. We identify dozens of human neuropsychiatric and neurodegenerative disease risk genes, such as COMT, PSEN-1, LRRK2, SHANK3, and SNCA, with highly divergent co-expression between mouse and human and show that 3D human brain organoids recapitulate in vivo co-expression modules representing several human cell types. CONCLUSIONS: We identify robust co-expression modules reflecting whole-brain and regional patterns of gene expression. Compared with those that represent basic metabolic processes, cell-type-specific modules, most prominently glial modules, are the most divergent between species. These data and analyses serve as a foundational resource to guide human disease modeling and its interpretation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-020-02257-z.
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spelling pubmed-78449382021-02-01 Evolutionary conservation and divergence of the human brain transcriptome Pembroke, William G. Hartl, Christopher L. Geschwind, Daniel H. Genome Biol Research BACKGROUND: Mouse models have allowed for the direct interrogation of genetic effects on molecular, physiological, and behavioral brain phenotypes. However, it is unknown to what extent neurological or psychiatric traits may be human- or primate-specific and therefore which components can be faithfully recapitulated in mouse models. RESULTS: We compare conservation of co-expression in 116 independent data sets derived from human, mouse, and non-human primate representing more than 15,000 total samples. We observe greater changes occurring on the human lineage than mouse, and substantial regional variation that highlights cerebral cortex as the most diverged region. Glia, notably microglia, astrocytes, and oligodendrocytes are the most divergent cell type, three times more on average than neurons. We show that cis-regulatory sequence divergence explains a significant fraction of co-expression divergence. Moreover, protein coding sequence constraint parallels co-expression conservation, such that genes with loss of function intolerance are enriched in neuronal, rather than glial modules. We identify dozens of human neuropsychiatric and neurodegenerative disease risk genes, such as COMT, PSEN-1, LRRK2, SHANK3, and SNCA, with highly divergent co-expression between mouse and human and show that 3D human brain organoids recapitulate in vivo co-expression modules representing several human cell types. CONCLUSIONS: We identify robust co-expression modules reflecting whole-brain and regional patterns of gene expression. Compared with those that represent basic metabolic processes, cell-type-specific modules, most prominently glial modules, are the most divergent between species. These data and analyses serve as a foundational resource to guide human disease modeling and its interpretation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-020-02257-z. BioMed Central 2021-01-29 /pmc/articles/PMC7844938/ /pubmed/33514394 http://dx.doi.org/10.1186/s13059-020-02257-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Pembroke, William G.
Hartl, Christopher L.
Geschwind, Daniel H.
Evolutionary conservation and divergence of the human brain transcriptome
title Evolutionary conservation and divergence of the human brain transcriptome
title_full Evolutionary conservation and divergence of the human brain transcriptome
title_fullStr Evolutionary conservation and divergence of the human brain transcriptome
title_full_unstemmed Evolutionary conservation and divergence of the human brain transcriptome
title_short Evolutionary conservation and divergence of the human brain transcriptome
title_sort evolutionary conservation and divergence of the human brain transcriptome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844938/
https://www.ncbi.nlm.nih.gov/pubmed/33514394
http://dx.doi.org/10.1186/s13059-020-02257-z
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