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

Tingting Bo, Jie Li, Ganlu Hu, Ge Zhang, Wei Wang, Qian Lv, Shaoling Zhao, Junjie Ma, Meng Qin, Xiaohui Yao, Meiyun Wang (), Guang-Zhong Wang () and Zheng Wang ()
Additional contact information
Tingting Bo: Shanghai Jiao Tong University School of Medicine
Jie Li: University of Chinese Academy of Sciences, Chinese Academy of Sciences
Ganlu Hu: ShanghaiTech University
Ge Zhang: Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University
Wei Wang: University of Chinese Academy of Sciences, Chinese Academy of Sciences
Qian Lv: Peking University
Shaoling Zhao: Chinese Academy of Sciences
Junjie Ma: University of Chinese Academy of Sciences, Chinese Academy of Sciences
Meng Qin: Beijing University of Chemical Technology
Xiaohui Yao: Harbin Engineering University
Meiyun Wang: Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University
Guang-Zhong Wang: University of Chinese Academy of Sciences, Chinese Academy of Sciences
Zheng Wang: Peking University

Nature Communications, 2023, vol. 14, issue 1, 1-15

Abstract: Abstract 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.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-37246-w Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37246-w

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-37246-w

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().