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A cell fitness selection model for neuronal survival during development

Author

Listed:
  • Yiqiao Wang

    (Karolinska Institutet)

  • Haohao Wu

    (Karolinska Institutet)

  • Paula Fontanet

    (Karolinska Institutet)

  • Simone Codeluppi

    (Karolinska Institutet)

  • Natalia Akkuratova

    (Karolinska Institutet)

  • Charles Petitpré

    (Karolinska Institutet)

  • Yongtao Xue-Franzén

    (Karolinska Institutet)

  • Karen Niederreither

    (Université de Strasbourg)

  • Anil Sharma

    (Karolinska Institutet)

  • Fabio Da Silva

    (Université Côte d’Azur, Inserm, CNRS, iBV)

  • Glenda Comai

    (Stem Cells & Development - Institut Pasteur - CNRS UMR3738)

  • Gulistan Agirman

    (Karolinska Institutet)

  • Domenico Palumberi

    (Karolinska Institutet)

  • Sten Linnarsson

    (Karolinska Institutet)

  • Igor Adameyko

    (Karolinska Institutet
    Medical University Vienna)

  • Aziz Moqrich

    (Institut de Biologie du Développement de Marseille (IBDM), UMR 7288)

  • Andreas Schedl

    (Université Côte d’Azur, Inserm, CNRS, iBV)

  • Gioele La Manno

    (Swiss Federal Institute of Technology (EPFL))

  • Saida Hadjab

    (Karolinska Institutet)

  • François Lallemend

    (Karolinska Institutet
    Karolinska Institutet)

Abstract

Developmental cell death plays an important role in the construction of functional neural circuits. In vertebrates, the canonical view proposes a selection of the surviving neurons through stochastic competition for target-derived neurotrophic signals, implying an equal potential for neurons to compete. Here we show an alternative cell fitness selection of neurons that is defined by a specific neuronal heterogeneity code. Proprioceptive sensory neurons that will undergo cell death and those that will survive exhibit different molecular signatures that are regulated by retinoic acid and transcription factors, and are independent of the target and neurotrophins. These molecular features are genetically encoded, representing two distinct subgroups of neurons with contrasted functional maturation states and survival outcome. Thus, in this model, a heterogeneous code of intrinsic cell fitness in neighboring neurons provides differential competitive advantage resulting in the selection of cells with higher capacity to survive and functionally integrate into neural networks.

Suggested Citation

  • Yiqiao Wang & Haohao Wu & Paula Fontanet & Simone Codeluppi & Natalia Akkuratova & Charles Petitpré & Yongtao Xue-Franzén & Karen Niederreither & Anil Sharma & Fabio Da Silva & Glenda Comai & Gulistan, 2019. "A cell fitness selection model for neuronal survival during development," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12119-3
    DOI: 10.1038/s41467-019-12119-3
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