| Literature DB >> 33335034 |
Ethan B Richman1,2,3, Noam Ringach1, Justus M Kebschull1, Drew Friedmann1, Eddy Albarran2, Sai Saroja Kolluru3,4,5, Robert C Jones3,4, William E Allen1,2,3,6, Ying Wang7, Seung Woo Cho8, Huaijun Zhou7, Jun B Ding9,10, Howard Y Chang8,11, Karl Deisseroth3,11,12, Stephen R Quake13,4,5, Liqun Luo14,11.
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.Entities:
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Year: 2020 PMID: 33335034 DOI: 10.1126/science.abd5059
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728