A stochastic framework of neurogenesis underlies the assembly of neocortical cytoarchitecture

  1. Alfredo Llorca
  2. Gabriele Ciceri
  3. Robert Beattie
  4. Fong Kuan Wong
  5. Giovanni Diana
  6. Eleni Serafeimidou-Pouliou
  7. Marian Fernández-Otero
  8. Carmen Streicher
  9. Sebastian J Arnold
  10. Martin Meyer
  11. Simon Hippenmeyer
  12. Miguel Maravall
  13. Oscar Marin  Is a corresponding author
  1. King's College London, United Kingdom
  2. Institute of Science and Technology Austria, Austria
  3. University of Freiburg, Germany
  4. University of Sussex, United Kingdom

Abstract

The cerebral cortex contains multiple areas with distinctive cytoarchitectonical patterns, but the cellular mechanisms underlying the emergence of this diversity remain unclear. Here, we have investigated the neuronal output of individual progenitor cells in the developing mouse neocortex using a combination of methods that together circumvent the biases and limitations of individual approaches. Our experimental results indicate that progenitor cells generate pyramidal cell lineages with a wide range of sizes and laminar configurations. Mathematical modelling indicates that these outcomes are compatible with a stochastic model of cortical neurogenesis in which progenitor cells undergo a series of probabilistic decisions that lead to the specification of very heterogeneous progenies. Our findings support a mechanism for cortical neurogenesis whose flexibility would make it capable to generate the diverse cytoarchitectures that characterize distinct neocortical areas.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

Article and author information

Author details

  1. Alfredo Llorca

    Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  2. Gabriele Ciceri

    Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Robert Beattie

    Institute of Science and Technology Austria, Klosterneuburg, Austria
    Competing interests
    The authors declare that no competing interests exist.
  4. Fong Kuan Wong

    Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  5. Giovanni Diana

    Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7497-5271
  6. Eleni Serafeimidou-Pouliou

    Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  7. Marian Fernández-Otero

    Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  8. Carmen Streicher

    Institute of Science and Technology Austria, Klosterneuburg, Austria
    Competing interests
    The authors declare that no competing interests exist.
  9. Sebastian J Arnold

    Institute of Experimental and Clinical Pharmacology and Toxicology, University of Freiburg, Freiburg, Germany
    Competing interests
    The authors declare that no competing interests exist.
  10. Martin Meyer

    Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  11. Simon Hippenmeyer

    Institute of Science and Technology Austria, Klosterneuburg, Austria
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2279-1061
  12. Miguel Maravall

    Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8869-7206
  13. Oscar Marin

    Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
    For correspondence
    oscar.marin@kcl.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6264-7027

Funding

H2020 European Research Council (ERC-2017-AdG 787355)

  • Oscar Marin

H2020 European Research Council (ERC-2016-CoG 725780)

  • Simon Hippenmeyer

European Molecular Biology Organization

  • Fong Kuan Wong

H2020 Marie Skłodowska-Curie Actions

  • Fong Kuan Wong

Austrian Science Fund (Lise-Meitner program M 2416)

  • Robert Beattie

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Sonia Garel, Ecole Normale Superieure, France

Ethics

Animal experimentation: All procedures were approved by King's College London and IST Austria, and were performed under UK Home Office project licenses, and in accordance with Austrian Federal Ministry of Science and Research license, and European regulations (EU directive 86/609, EU decree 2001- 486).

Version history

  1. Received: August 27, 2019
  2. Accepted: November 15, 2019
  3. Accepted Manuscript published: November 18, 2019 (version 1)
  4. Version of Record published: January 17, 2020 (version 2)

Copyright

© 2019, Llorca et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 5,615
    Page views
  • 1,148
    Downloads
  • 65
    Citations

Article citation count generated by polling the highest count across the following sources: Scopus, Crossref, PubMed Central.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Alfredo Llorca
  2. Gabriele Ciceri
  3. Robert Beattie
  4. Fong Kuan Wong
  5. Giovanni Diana
  6. Eleni Serafeimidou-Pouliou
  7. Marian Fernández-Otero
  8. Carmen Streicher
  9. Sebastian J Arnold
  10. Martin Meyer
  11. Simon Hippenmeyer
  12. Miguel Maravall
  13. Oscar Marin
(2019)
A stochastic framework of neurogenesis underlies the assembly of neocortical cytoarchitecture
eLife 8:e51381.
https://doi.org/10.7554/eLife.51381

Share this article

https://doi.org/10.7554/eLife.51381

Further reading

    1. Developmental Biology
    2. Neuroscience
    Kristine B Walhovd, Stine K Krogsrud ... Didac Vidal-Pineiro
    Research Article

    Human fetal development has been associated with brain health at later stages. It is unknown whether growth in utero, as indexed by birth weight (BW), relates consistently to lifespan brain characteristics and changes, and to what extent these influences are of a genetic or environmental nature. Here we show remarkably stable and lifelong positive associations between BW and cortical surface area and volume across and within developmental, aging and lifespan longitudinal samples (N = 5794, 4–82 y of age, w/386 monozygotic twins, followed for up to 8.3 y w/12,088 brain MRIs). In contrast, no consistent effect of BW on brain changes was observed. Partly environmental effects were indicated by analysis of twin BW discordance. In conclusion, the influence of prenatal growth on cortical topography is stable and reliable through the lifespan. This early-life factor appears to influence the brain by association of brain reserve, rather than brain maintenance. Thus, fetal influences appear omnipresent in the spacetime of the human brain throughout the human lifespan. Optimizing fetal growth may increase brain reserve for life, also in aging.

    1. Developmental Biology
    2. Immunology and Inflammation
    Amir Hossein Kayvanjoo, Iva Splichalova ... Elvira Mass
    Research Article Updated

    During embryogenesis, the fetal liver becomes the main hematopoietic organ, where stem and progenitor cells as well as immature and mature immune cells form an intricate cellular network. Hematopoietic stem cells (HSCs) reside in a specialized niche, which is essential for their proliferation and differentiation. However, the cellular and molecular determinants contributing to this fetal HSC niche remain largely unknown. Macrophages are the first differentiated hematopoietic cells found in the developing liver, where they are important for fetal erythropoiesis by promoting erythrocyte maturation and phagocytosing expelled nuclei. Yet, whether macrophages play a role in fetal hematopoiesis beyond serving as a niche for maturing erythroblasts remains elusive. Here, we investigate the heterogeneity of macrophage populations in the murine fetal liver to define their specific roles during hematopoiesis. Using a single-cell omics approach combined with spatial proteomics and genetic fate-mapping models, we found that fetal liver macrophages cluster into distinct yolk sac-derived subpopulations and that long-term HSCs are interacting preferentially with one of the macrophage subpopulations. Fetal livers lacking macrophages show a delay in erythropoiesis and have an increased number of granulocytes, which can be attributed to transcriptional reprogramming and altered differentiation potential of long-term HSCs. Together, our data provide a detailed map of fetal liver macrophage subpopulations and implicate macrophages as part of the fetal HSC niche.