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An atlas of cortical arealization identifies dynamic molecular signatures

Author

Listed:
  • Aparna Bhaduri

    (University of California, San Francisco
    University of California, San Francisco
    Los Angeles)

  • Carmen Sandoval-Espinosa

    (University of California, San Francisco
    University of California, San Francisco)

  • Marcos Otero-Garcia

    (Rebus Biosystems)

  • Irene Oh

    (Rebus Biosystems)

  • Raymund Yin

    (Rebus Biosystems)

  • Ugomma C. Eze

    (University of California, San Francisco
    University of California, San Francisco)

  • Tomasz J. Nowakowski

    (University of California, San Francisco
    University of California, San Francisco)

  • Arnold R. Kriegstein

    (University of California, San Francisco
    University of California, San Francisco)

Abstract

The human brain is subdivided into distinct anatomical structures, including the neocortex, which in turn encompasses dozens of distinct specialized cortical areas. Early morphogenetic gradients are known to establish early brain regions and cortical areas, but how early patterns result in finer and more discrete spatial differences remains poorly understood1. Here we use single-cell RNA sequencing to profile ten major brain structures and six neocortical areas during peak neurogenesis and early gliogenesis. Within the neocortex, we find that early in the second trimester, a large number of genes are differentially expressed across distinct cortical areas in all cell types, including radial glia, the neural progenitors of the cortex. However, the abundance of areal transcriptomic signatures increases as radial glia differentiate into intermediate progenitor cells and ultimately give rise to excitatory neurons. Using an automated, multiplexed single-molecule fluorescent in situ hybridization approach, we find that laminar gene-expression patterns are highly dynamic across cortical regions. Together, our data suggest that early cortical areal patterning is defined by strong, mutually exclusive frontal and occipital gene-expression signatures, with resulting gradients giving rise to the specification of areas between these two poles throughout successive developmental timepoints.

Suggested Citation

  • Aparna Bhaduri & Carmen Sandoval-Espinosa & Marcos Otero-Garcia & Irene Oh & Raymund Yin & Ugomma C. Eze & Tomasz J. Nowakowski & Arnold R. Kriegstein, 2021. "An atlas of cortical arealization identifies dynamic molecular signatures," Nature, Nature, vol. 598(7879), pages 200-204, October.
  • Handle: RePEc:nat:nature:v:598:y:2021:i:7879:d:10.1038_s41586-021-03910-8
    DOI: 10.1038/s41586-021-03910-8
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    Cited by:

    1. Haier, Richard J., 2021. "Are we thinking big enough about the road ahead? Overview of the special issue on the future of intelligence research," Intelligence, Elsevier, vol. 89(C).
    2. Rebecca Sebastian & Kang Jin & Narciso Pavon & Ruby Bansal & Andrew Potter & Yoonjae Song & Juliana Babu & Rafael Gabriel & Yubing Sun & Bruce Aronow & ChangHui Pak, 2023. "Schizophrenia-associated NRXN1 deletions induce developmental-timing- and cell-type-specific vulnerabilities in human brain organoids," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    3. Jia-Ru Wei & Zhao-Zhe Hao & Chuan Xu & Mengyao Huang & Lei Tang & Nana Xu & Ruifeng Liu & Yuhui Shen & Sarah A. Teichmann & Zhichao Miao & Sheng Liu, 2022. "Identification of visual cortex cell types and species differences using single-cell RNA sequencing," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    4. E. P. Tissink & A. A. Shadrin & D. Meer & N. Parker & G. Hindley & D. Roelfs & O. Frei & C. C. Fan & M. Nagel & T. Nærland & M. Budisteanu & S. Djurovic & L. T. Westlye & M. P. Heuvel & D. Posthuma & , 2024. "Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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