| Literature DB >> 30382198 |
Bosiljka Tasic1, Zizhen Yao2, Lucas T Graybuck2, Kimberly A Smith2, Thuc Nghi Nguyen2, Darren Bertagnolli2, Jeff Goldy2, Emma Garren2, Michael N Economo3, Sarada Viswanathan3, Osnat Penn2, Trygve Bakken2, Vilas Menon2,3, Jeremy Miller2, Olivia Fong2, Karla E Hirokawa2, Kanan Lathia2, Christine Rimorin2, Michael Tieu2, Rachael Larsen2, Tamara Casper2, Eliza Barkan2, Matthew Kroll2, Sheana Parry2, Nadiya V Shapovalova2, Daniel Hirschstein2, Julie Pendergraft2, Heather A Sullivan4, Tae Kyung Kim2, Aaron Szafer2, Nick Dee2, Peter Groblewski2, Ian Wickersham4, Ali Cetin2, Julie A Harris2, Boaz P Levi2, Susan M Sunkin2, Linda Madisen2, Tanya L Daigle2, Loren Looger3, Amy Bernard2, John Phillips2, Ed Lein2, Michael Hawrylycz2, Karel Svoboda3, Allan R Jones2, Christof Koch2, Hongkui Zeng2.
Abstract
The neocortex contains a multitude of cell types that are segregated into layers and functionally distinct areas. To investigate the diversity of cell types across the mouse neocortex, here we analysed 23,822 cells from two areas at distant poles of the mouse neocortex: the primary visual cortex and the anterior lateral motor cortex. We define 133 transcriptomic cell types by deep, single-cell RNA sequencing. Nearly all types of GABA (γ-aminobutyric acid)-containing neurons are shared across both areas, whereas most types of glutamatergic neurons were found in one of the two areas. By combining single-cell RNA sequencing and retrograde labelling, we match transcriptomic types of glutamatergic neurons to their long-range projection specificity. Our study establishes a combined transcriptomic and projectional taxonomy of cortical cell types from functionally distinct areas of the adult mouse cortex.Entities:
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Year: 2018 PMID： 30382198 PMCID： PMC6456269 DOI： 10.1038/s41586-018-0654-5
Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962