Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells

生物 神经科学 加巴能 电池类型 视皮层 中间神经元 转录组 电生理学 细胞 抑制性突触后电位 基因 遗传学 基因表达
作者
Nathan W. Gouwens,Staci A. Sorensen,Fahimeh Baftizadeh,Agata Budzillo,Brian Lee,Tim Jarsky,Lauren Alfiler,Katherine Baker,Eliza Barkan,Kyla Berry,Darren Bertagnolli,Kris Bickley,Jasmine Bomben,Thomas Braun,Krissy Brouner,Tamara Casper,Kirsten Crichton,Tanya L. Daigle,Rachel Dalley,Rebecca de Frates,Nick Dee,Tsega Desta,Samuel Dingman Lee,Nadezhda Dotson,Tom Egdorf,Lauren Ellingwood,Rachel Enstrom,Luke Esposito,Colin Farrell,David Feng,Olivia Fong,Rohan Gala,Clare Gamlin,Amanda Gary,Alexandra Glandon,Jeff Goldy,Melissa Gorham,Lucas T. Graybuck,Thuc Nghi Nguyen,Kristen Hadley,Michael Hawrylycz,Alex M. Henry,DiJon Hill,Madie Hupp,Sara Kebede,Tae Kyung Kim,Lisa Kim,Matthew Kroll,Changkyu Lee,Katherine E. Link,Matthew Mallory,Rusty Mann,Michelle Maxwell,Mary McGraw,Delissa McMillen,Alice Mukora,Lindsay Ng,Lydia Ng,Kiet Ngo,Philip R. Nicovich,Aaron Oldre,Daniel Park,Hanchuan Peng,Osnat Penn,Thanh Pham,Alice Pom,Zoran Popović,Lydia Potekhina,Ramkumar Rajanbabu,Shea Ransford,David Reid,Christine Rimorin,Miranda Robertson,Kara Ronellenfitch,Augustin Ruiz,David Sandman,Kimberly A. Smith,Josef Šulc,Susan M. Sunkin,Aaron Szafer,Michael Tieu,Amy Torkelson,Jessica Trinh,Herman Tung,Wayne Wakeman,Katelyn Ward,Grace Williams,Zhi Zhou,Jonathan T. Ting,Anton Arkhipov,Uygar Sümbül,Ed S. Lein,Christof Koch,Zizhen Yao,Bosiljka Tasic,Jim Berg,Gabe J. Murphy,Hongkui Zeng
出处
期刊:Cell [Cell Press]
卷期号:183 (4): 935-953.e19 被引量:365
标识
DOI:10.1016/j.cell.2020.09.057
摘要

Neurons are frequently classified into distinct types on the basis of structural, physiological, or genetic attributes. To better constrain the definition of neuronal cell types, we characterized the transcriptomes and intrinsic physiological properties of over 4,200 mouse visual cortical GABAergic interneurons and reconstructed the local morphologies of 517 of those neurons. We find that most transcriptomic types (t-types) occupy specific laminar positions within visual cortex, and, for most types, the cells mapping to a t-type exhibit consistent electrophysiological and morphological properties. These properties display both discrete and continuous variation among t-types. Through multimodal integrated analysis, we define 28 met-types that have congruent morphological, electrophysiological, and transcriptomic properties and robust mutual predictability. We identify layer-specific axon innervation pattern as a defining feature distinguishing different met-types. These met-types represent a unified definition of cortical GABAergic interneuron types, providing a systematic framework to capture existing knowledge and bridge future analyses across different modalities.
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