IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v596y2021i7870d10.1038_s41586-021-03775-x.html
   My bibliography  Save this article

Molecular architecture of the developing mouse brain

Author

Listed:
  • Gioele La Manno

    (Karolinska Institute
    École Polytechnique Fédérale de Lausanne)

  • Kimberly Siletti

    (Karolinska Institute)

  • Alessandro Furlan

    (Karolinska Institute
    Cold Spring Harbor Laboratory)

  • Daniel Gyllborg

    (Stockholm University)

  • Elin Vinsland

    (Karolinska Institute)

  • Alejandro Mossi Albiach

    (Karolinska Institute)

  • Christoffer Mattsson Langseth

    (Stockholm University)

  • Irina Khven

    (École Polytechnique Fédérale de Lausanne)

  • Alex R. Lederer

    (École Polytechnique Fédérale de Lausanne)

  • Lisa M. Dratva

    (École Polytechnique Fédérale de Lausanne)

  • Anna Johnsson

    (Karolinska Institute)

  • Mats Nilsson

    (Stockholm University)

  • Peter Lönnerberg

    (Karolinska Institute)

  • Sten Linnarsson

    (Karolinska Institute)

Abstract

The mammalian brain develops through a complex interplay of spatial cues generated by diffusible morphogens, cell–cell interactions and intrinsic genetic programs that result in probably more than a thousand distinct cell types. A complete understanding of this process requires a systematic characterization of cell states over the entire spatiotemporal range of brain development. The ability of single-cell RNA sequencing and spatial transcriptomics to reveal the molecular heterogeneity of complex tissues has therefore been particularly powerful in the nervous system. Previous studies have explored development in specific brain regions1–8, the whole adult brain9 and even entire embryos10. Here we report a comprehensive single-cell transcriptomic atlas of the embryonic mouse brain between gastrulation and birth. We identified almost eight hundred cellular states that describe a developmental program for the functional elements of the brain and its enclosing membranes, including the early neuroepithelium, region-specific secondary organizers, and both neurogenic and gliogenic progenitors. We also used in situ mRNA sequencing to map the spatial expression patterns of key developmental genes. Integrating the in situ data with our single-cell clusters revealed the precise spatial organization of neural progenitors during the patterning of the nervous system.

Suggested Citation

  • Gioele La Manno & Kimberly Siletti & Alessandro Furlan & Daniel Gyllborg & Elin Vinsland & Alejandro Mossi Albiach & Christoffer Mattsson Langseth & Irina Khven & Alex R. Lederer & Lisa M. Dratva & An, 2021. "Molecular architecture of the developing mouse brain," Nature, Nature, vol. 596(7870), pages 92-96, August.
  • Handle: RePEc:nat:nature:v:596:y:2021:i:7870:d:10.1038_s41586-021-03775-x
    DOI: 10.1038/s41586-021-03775-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-021-03775-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-021-03775-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Akram A. Hamed & Daniel J. Kunz & Ibrahim El-Hamamy & Quang M. Trinh & Omar D. Subedar & Laura M. Richards & Warren Foltz & Garrett Bullivant & Matthaeus Ware & Maria C. Vladoiu & Jiao Zhang & Antony , 2022. "A brain precursor atlas reveals the acquisition of developmental-like states in adult cerebral tumours," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Fae N. Kronman & Josephine K. Liwang & Rebecca Betty & Daniel J. Vanselow & Yuan-Ting Wu & Nicholas J. Tustison & Ashwin Bhandiwad & Steffy B. Manjila & Jennifer A. Minteer & Donghui Shin & Choong Heo, 2024. "Developmental mouse brain common coordinate framework," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. Joachim Jonghe & Tomasz S. Kaminski & David B. Morse & Marcin Tabaka & Anna L. Ellermann & Timo N. Kohler & Gianluca Amadei & Charlotte E. Handford & Gregory M. Findlay & Magdalena Zernicka-Goetz & Sa, 2023. "spinDrop: a droplet microfluidic platform to maximise single-cell sequencing information content," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    4. Yingfeng Tao & Xiaoliu Zhou & Leqiang Sun & Da Lin & Huaiyuan Cai & Xi Chen & Wei Zhou & Bing Yang & Zhe Hu & Jing Yu & Jing Zhang & Xiaoqing Yang & Fang Yang & Bang Shen & Wenbao Qi & Zhenfang Fu & J, 2023. "Highly efficient and robust π-FISH rainbow for multiplexed in situ detection of diverse biomolecules," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    5. 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.
    6. Hao Xu & Shuyan Wang & Minghao Fang & Songwen Luo & Chunpeng Chen & Siyuan Wan & Rirui Wang & Meifang Tang & Tian Xue & Bin Li & Jun Lin & Kun Qu, 2023. "SPACEL: deep learning-based characterization of spatial transcriptome architectures," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    7. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:596:y:2021:i:7870:d:10.1038_s41586-021-03775-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.