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Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys

Integrative analyses of transcriptomic and neuroimaging data have generated a wealth of information about biological pathways underlying regional variability in imaging-derived brain phenotypes in humans, but rarely in nonhuman primates due to the lack of a comprehensive anatomically-defined atlas o...

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Autores principales: Bo, Tingting, Li, Jie, Hu, Ganlu, Zhang, Ge, Wang, Wei, Lv, Qian, Zhao, Shaoling, Ma, Junjie, Qin, Meng, Yao, Xiaohui, Wang, Meiyun, Wang, Guang-Zhong, Wang, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023667/
https://www.ncbi.nlm.nih.gov/pubmed/36932104
http://dx.doi.org/10.1038/s41467-023-37246-w
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author Bo, Tingting
Li, Jie
Hu, Ganlu
Zhang, Ge
Wang, Wei
Lv, Qian
Zhao, Shaoling
Ma, Junjie
Qin, Meng
Yao, Xiaohui
Wang, Meiyun
Wang, Guang-Zhong
Wang, Zheng
author_facet Bo, Tingting
Li, Jie
Hu, Ganlu
Zhang, Ge
Wang, Wei
Lv, Qian
Zhao, Shaoling
Ma, Junjie
Qin, Meng
Yao, Xiaohui
Wang, Meiyun
Wang, Guang-Zhong
Wang, Zheng
author_sort Bo, Tingting
collection PubMed
description Integrative analyses of transcriptomic and neuroimaging data have generated a wealth of information about biological pathways underlying regional variability in imaging-derived brain phenotypes in humans, but rarely in nonhuman primates due to the lack of a comprehensive anatomically-defined atlas of brain transcriptomics. Here we generate complementary bulk RNA-sequencing dataset of 819 samples from 110 brain regions and single-nucleus RNA-sequencing dataset, and neuroimaging data from 162 cynomolgus macaques, to examine the link between brain-wide gene expression and regional variation in morphometry. We not only observe global/regional expression profiles of macaque brain comparable to human but unravel a dorsolateral-ventromedial gradient of gene assemblies within the primate frontal lobe. Furthermore, we identify a set of 971 protein-coding and 34 non-coding genes consistently associated with cortical thickness, specially enriched for neurons and oligodendrocytes. These data provide a unique resource to investigate nonhuman primate models of human diseases and probe cross-species evolutionary mechanisms.
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spelling pubmed-100236672023-03-19 Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys Bo, Tingting Li, Jie Hu, Ganlu Zhang, Ge Wang, Wei Lv, Qian Zhao, Shaoling Ma, Junjie Qin, Meng Yao, Xiaohui Wang, Meiyun Wang, Guang-Zhong Wang, Zheng Nat Commun Article Integrative analyses of transcriptomic and neuroimaging data have generated a wealth of information about biological pathways underlying regional variability in imaging-derived brain phenotypes in humans, but rarely in nonhuman primates due to the lack of a comprehensive anatomically-defined atlas of brain transcriptomics. Here we generate complementary bulk RNA-sequencing dataset of 819 samples from 110 brain regions and single-nucleus RNA-sequencing dataset, and neuroimaging data from 162 cynomolgus macaques, to examine the link between brain-wide gene expression and regional variation in morphometry. We not only observe global/regional expression profiles of macaque brain comparable to human but unravel a dorsolateral-ventromedial gradient of gene assemblies within the primate frontal lobe. Furthermore, we identify a set of 971 protein-coding and 34 non-coding genes consistently associated with cortical thickness, specially enriched for neurons and oligodendrocytes. These data provide a unique resource to investigate nonhuman primate models of human diseases and probe cross-species evolutionary mechanisms. Nature Publishing Group UK 2023-03-17 /pmc/articles/PMC10023667/ /pubmed/36932104 http://dx.doi.org/10.1038/s41467-023-37246-w 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
Bo, Tingting
Li, Jie
Hu, Ganlu
Zhang, Ge
Wang, Wei
Lv, Qian
Zhao, Shaoling
Ma, Junjie
Qin, Meng
Yao, Xiaohui
Wang, Meiyun
Wang, Guang-Zhong
Wang, Zheng
Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys
title Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys
title_full Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys
title_fullStr Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys
title_full_unstemmed Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys
title_short Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys
title_sort brain-wide and cell-specific transcriptomic insights into mri-derived cortical morphology in macaque monkeys
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023667/
https://www.ncbi.nlm.nih.gov/pubmed/36932104
http://dx.doi.org/10.1038/s41467-023-37246-w
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