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Cho, Seung Woo
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Cerebellar nuclei evolved by repeatedly duplicating a conserved cell-type set

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Title
Cerebellar nuclei evolved by repeatedly duplicating a conserved cell-type set
Author
Kebschull, Justus M.Richman, Ethan B.Ringach, NoamFriedmann, DrewAlbarran, EddyKolluru, Sai SarojaJones, Robert C.Allen, William E.Wang, YingCho, Seung WooZhou, HuaijunDing, Jun B.Chang, Howard Y.Deisseroth, KarlQuake, Stephen R.Luo, Liqun
Issue Date
2020-12
Publisher
AMER ASSOC ADVANCEMENT SCIENCE
Citation
SCIENCE, v.370, no.6523
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.
URI
https://scholarworks.unist.ac.kr/handle/201301/50587
URL
https://science.sciencemag.org/content/370/6523/eabd5059
DOI
10.1126/science.abd5059
ISSN
0036-8075
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BME_Journal Papers
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