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조승우

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

Author(s)
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
Issued Date
2020-12
DOI
10.1126/science.abd5059
URI
https://scholarworks.unist.ac.kr/handle/201301/50587
Fulltext
https://science.sciencemag.org/content/370/6523/eabd5059
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.
Publisher
AMER ASSOC ADVANCEMENT SCIENCE
ISSN
0036-8075
Keyword
PROJECTIONSMIGRATIONCORTEXINPUTORGANIZATION

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