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Cerebellar nuclei evolved by repeatedly duplicating a conserved cell-type set.
Kebschull, Justus M; Richman, Ethan B; Ringach, Noam; Friedmann, Drew; Albarran, Eddy; Kolluru, Sai Saroja; Jones, Robert C; Allen, William E; Wang, Ying; Cho, Seung Woo; Zhou, Huaijun; Ding, Jun B; Chang, Howard Y; Deisseroth, Karl; Quake, Stephen R; Luo, Liqun.
Afiliação
  • Kebschull JM; Department of Biology, Stanford University, Stanford, CA 94305, USA.
  • Richman EB; Department of Biology, Stanford University, Stanford, CA 94305, USA.
  • Ringach N; Neurosciences Program, Stanford University, Stanford, CA 94305, USA.
  • Friedmann D; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Albarran E; Department of Biology, Stanford University, Stanford, CA 94305, USA.
  • Kolluru SS; Department of Biology, Stanford University, Stanford, CA 94305, USA.
  • Jones RC; Neurosciences Program, Stanford University, Stanford, CA 94305, USA.
  • Allen WE; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Wang Y; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.
  • Cho SW; Chan Zuckerberg Biohub, Stanford, CA 94305, USA.
  • Zhou H; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Ding JB; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.
  • Chang HY; Department of Biology, Stanford University, Stanford, CA 94305, USA.
  • Deisseroth K; Neurosciences Program, Stanford University, Stanford, CA 94305, USA.
  • Quake SR; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Luo L; Society of Fellows, Harvard University, Cambridge, MA 02138, USA.
Science ; 370(6523)2020 12 18.
Article em En | MEDLINE | ID: mdl-33335034
ABSTRACT
How have complex brains evolved from simple circuits? Here we investigated brain region evolution at cell-type resolution in the cerebellar nuclei, the output structures of the cerebellum. Using single-nucleus RNA sequencing in mice, chickens, and humans, as well as STARmap spatial transcriptomic analysis and whole-central nervous system projection tracing, we identified a conserved cell-type set containing two region-specific excitatory neuron classes and three region-invariant inhibitory neuron classes. This set constitutes an archetypal cerebellar nucleus that was repeatedly duplicated to form new regions. The excitatory cell class that preferentially funnels information to lateral frontal cortices in mice becomes predominant in the massively expanded human lateral nucleus. Our data suggest a model of brain region evolution by duplication and divergence of entire cell-type sets.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Núcleos Cerebelares / Evolução Biológica / Neurônios Limite: Animals / Female / Humans / Male Idioma: En Revista: Science Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Núcleos Cerebelares / Evolução Biológica / Neurônios Limite: Animals / Female / Humans / Male Idioma: En Revista: Science Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos