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Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution
Enhanced cognitive function in humans is hypothesized to result from cortical expansion and increased cellular diversity. However, the mechanisms that drive these phenotypic innovations remain poorly understood, in part because of the lack of high-quality cellular resolution data in human and non-hu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627823/ https://www.ncbi.nlm.nih.gov/pubmed/37667001 http://dx.doi.org/10.1038/s41559-023-02186-7 |
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author | Suresh, Hamsini Crow, Megan Jorstad, Nikolas Hodge, Rebecca Lein, Ed Dobin, Alexander Bakken, Trygve Gillis, Jesse |
author_facet | Suresh, Hamsini Crow, Megan Jorstad, Nikolas Hodge, Rebecca Lein, Ed Dobin, Alexander Bakken, Trygve Gillis, Jesse |
author_sort | Suresh, Hamsini |
collection | PubMed |
description | Enhanced cognitive function in humans is hypothesized to result from cortical expansion and increased cellular diversity. However, the mechanisms that drive these phenotypic innovations remain poorly understood, in part because of the lack of high-quality cellular resolution data in human and non-human primates. Here, we take advantage of single-cell expression data from the middle temporal gyrus of five primates (human, chimp, gorilla, macaque and marmoset) to identify 57 homologous cell types and generate cell type-specific gene co-expression networks for comparative analysis. Although orthologue expression patterns are generally well conserved, we find 24% of genes with extensive differences between human and non-human primates (3,383 out of 14,131), which are also associated with multiple brain disorders. To assess the functional significance of gene expression differences in an evolutionary context, we evaluate changes in network connectivity across meta-analytic co-expression networks from 19 animals. We find that a subset of these genes has deeply conserved co-expression across all non-human animals, and strongly divergent co-expression relationships in humans (139 out of 3,383, <1% of primate orthologues). Genes with human-specific cellular expression and co-expression profiles (such as NHEJ1, GTF2H2, C2 and BBS5) typically evolve under relaxed selective constraints and may drive rapid evolutionary change in brain function. |
format | Online Article Text |
id | pubmed-10627823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106278232023-11-08 Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution Suresh, Hamsini Crow, Megan Jorstad, Nikolas Hodge, Rebecca Lein, Ed Dobin, Alexander Bakken, Trygve Gillis, Jesse Nat Ecol Evol Article Enhanced cognitive function in humans is hypothesized to result from cortical expansion and increased cellular diversity. However, the mechanisms that drive these phenotypic innovations remain poorly understood, in part because of the lack of high-quality cellular resolution data in human and non-human primates. Here, we take advantage of single-cell expression data from the middle temporal gyrus of five primates (human, chimp, gorilla, macaque and marmoset) to identify 57 homologous cell types and generate cell type-specific gene co-expression networks for comparative analysis. Although orthologue expression patterns are generally well conserved, we find 24% of genes with extensive differences between human and non-human primates (3,383 out of 14,131), which are also associated with multiple brain disorders. To assess the functional significance of gene expression differences in an evolutionary context, we evaluate changes in network connectivity across meta-analytic co-expression networks from 19 animals. We find that a subset of these genes has deeply conserved co-expression across all non-human animals, and strongly divergent co-expression relationships in humans (139 out of 3,383, <1% of primate orthologues). Genes with human-specific cellular expression and co-expression profiles (such as NHEJ1, GTF2H2, C2 and BBS5) typically evolve under relaxed selective constraints and may drive rapid evolutionary change in brain function. Nature Publishing Group UK 2023-09-04 2023 /pmc/articles/PMC10627823/ /pubmed/37667001 http://dx.doi.org/10.1038/s41559-023-02186-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Suresh, Hamsini Crow, Megan Jorstad, Nikolas Hodge, Rebecca Lein, Ed Dobin, Alexander Bakken, Trygve Gillis, Jesse Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution |
title | Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution |
title_full | Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution |
title_fullStr | Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution |
title_full_unstemmed | Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution |
title_short | Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution |
title_sort | comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627823/ https://www.ncbi.nlm.nih.gov/pubmed/37667001 http://dx.doi.org/10.1038/s41559-023-02186-7 |
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