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

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  • Tingting Bo

    (Shanghai Jiao Tong University School of Medicine
    Shanghai Jiao Tong University School of Medicine
    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
    University of 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
    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
    Hainan University)

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.

Suggested Citation

  • 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 & Zheng Wang, 2023. "Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37246-w
    DOI: 10.1038/s41467-023-37246-w
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