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Molecular logic of cellular diversification in the mouse cerebral cortex

Author

Listed:
  • Daniela J. Di Bella

    (Harvard University
    Broad Institute of MIT and Harvard)

  • Ehsan Habibi

    (Harvard University
    Broad Institute of MIT and Harvard)

  • Robert R. Stickels

    (Broad Institute of MIT and Harvard)

  • Gabriele Scalia

    (Broad Institute of MIT and Harvard)

  • Juliana Brown

    (Harvard University
    Broad Institute of MIT and Harvard)

  • Payman Yadollahpour

    (Broad Institute of MIT and Harvard)

  • Sung Min Yang

    (Harvard University
    Broad Institute of MIT and Harvard)

  • Catherine Abbate

    (Harvard University
    Broad Institute of MIT and Harvard)

  • Tommaso Biancalani

    (Broad Institute of MIT and Harvard
    Genentech)

  • Evan Z. Macosko

    (Broad Institute of MIT and Harvard)

  • Fei Chen

    (Harvard University
    Broad Institute of MIT and Harvard)

  • Aviv Regev

    (Broad Institute of MIT and Harvard
    Massachusetts Institute of Technology
    Genentech)

  • Paola Arlotta

    (Harvard University
    Broad Institute of MIT and Harvard)

Abstract

The mammalian cerebral cortex has an unparalleled diversity of cell types, which are generated during development through a series of temporally orchestrated events that are under tight evolutionary constraint and are critical for proper cortical assembly and function1,2. However, the molecular logic that governs the establishment and organization of cortical cell types remains unknown, largely due to the large number of cell classes that undergo dynamic cell-state transitions over extended developmental timelines. Here we generate a comprehensive atlas of the developing mouse neocortex, using single-cell RNA sequencing and single-cell assay for transposase-accessible chromatin using sequencing. We sampled the neocortex every day throughout embryonic corticogenesis and at early postnatal ages, and complemented the sequencing data with a spatial transcriptomics time course. We computationally reconstruct developmental trajectories across the diversity of cortical cell classes, and infer their spatial organization and the gene regulatory programs that accompany their lineage bifurcation decisions and differentiation trajectories. Finally, we demonstrate how this developmental map pinpoints the origin of lineage-specific developmental abnormalities that are linked to aberrant corticogenesis in mutant mice. The data provide a global picture of the regulatory mechanisms that govern cellular diversification in the neocortex.

Suggested Citation

  • Daniela J. Di Bella & Ehsan Habibi & Robert R. Stickels & Gabriele Scalia & Juliana Brown & Payman Yadollahpour & Sung Min Yang & Catherine Abbate & Tommaso Biancalani & Evan Z. Macosko & Fei Chen & A, 2021. "Molecular logic of cellular diversification in the mouse cerebral cortex," Nature, Nature, vol. 595(7868), pages 554-559, July.
  • Handle: RePEc:nat:nature:v:595:y:2021:i:7868:d:10.1038_s41586-021-03670-5
    DOI: 10.1038/s41586-021-03670-5
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    Citations

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    Cited by:

    1. Zeinab Asgarian & Marcio Guiomar Oliveira & Agata Stryjewska & Ioannis Maragkos & Anna Noren Rubin & Lorenza Magno & Vassilis Pachnis & Mohammadmersad Ghorbani & Scott Wayne Hiebert & Myrto Denaxa & N, 2022. "MTG8 interacts with LHX6 to specify cortical interneuron subtype identity," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. 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.
    3. Qingnan Liang & Yuefan Huang & Shan He & Ken Chen, 2023. "Pathway centric analysis for single-cell RNA-seq and spatial transcriptomics data with GSDensity," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. Soraia Barão & Yijun Xu & José P. Llongueras & Rachel Vistein & Loyal Goff & Kristina J. Nielsen & Byoung-Il Bae & Richard S. Smith & Christopher A. Walsh & Genevieve Stein-O’Brien & Ulrich Müller, 2024. "Conserved transcriptional regulation by BRN1 and BRN2 in neocortical progenitors drives mammalian neural specification and neocortical expansion," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    5. Allen W. Lynch & Myles Brown & Clifford A. Meyer, 2023. "Multi-batch single-cell comparative atlas construction by deep learning disentanglement," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    6. Abhijit Chakraborty & Jeffrey G. Wang & Ferhat Ay, 2022. "dcHiC detects differential compartments across multiple Hi-C datasets," Nature Communications, Nature, vol. 13(1), pages 1-21, December.

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