Literature DB >> 33186530

Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.

Nathan W Gouwens1, Staci A Sorensen2, Fahimeh Baftizadeh3, Agata Budzillo3, Brian R Lee3, Tim Jarsky3, Lauren Alfiler3, Katherine Baker3, Eliza Barkan3, Kyla Berry3, Darren Bertagnolli3, Kris Bickley3, Jasmine Bomben3, Thomas Braun4, Krissy Brouner3, Tamara Casper3, Kirsten Crichton3, Tanya L Daigle3, Rachel Dalley3, Rebecca A de Frates3, Nick Dee3, Tsega Desta3, Samuel Dingman Lee3, Nadezhda Dotson3, Tom Egdorf3, Lauren Ellingwood3, Rachel Enstrom3, Luke Esposito3, Colin Farrell3, David Feng3, Olivia Fong3, Rohan Gala3, Clare Gamlin3, Amanda Gary3, Alexandra Glandon3, Jeff Goldy3, Melissa Gorham3, Lucas Graybuck3, Hong Gu3, Kristen Hadley3, Michael J Hawrylycz3, Alex M Henry3, DiJon Hill3, Madie Hupp3, Sara Kebede3, Tae Kyung Kim3, Lisa Kim3, Matthew Kroll3, Changkyu Lee3, Katherine E Link3, Matthew Mallory3, Rusty Mann3, Michelle Maxwell3, Medea McGraw3, Delissa McMillen3, Alice Mukora3, Lindsay Ng3, Lydia Ng3, Kiet Ngo3, Philip R Nicovich3, Aaron Oldre3, Daniel Park3, Hanchuan Peng3, Osnat Penn3, Thanh Pham3, Alice Pom3, Zoran Popović5, Lydia Potekhina3, Ramkumar Rajanbabu3, Shea Ransford3, David Reid3, Christine Rimorin3, Miranda Robertson3, Kara Ronellenfitch3, Augustin Ruiz3, David Sandman3, Kimberly Smith3, Josef Sulc3, Susan M Sunkin3, Aaron Szafer3, Michael Tieu3, Amy Torkelson3, Jessica Trinh3, Herman Tung3, Wayne Wakeman3, Katelyn Ward3, Grace Williams3, Zhi Zhou3, Jonathan T Ting3, Anton Arkhipov3, Uygar Sümbül3, Ed S Lein3, Christof Koch3, Zizhen Yao3, Bosiljka Tasic3, Jim Berg3, Gabe J Murphy6, Hongkui Zeng3.   

Abstract

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.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GABAergic interneurons; Patch-seq; multimodal; neuronal cell type; parvalbumin; somatostatin; taxonomy; transcriptomics; visual cortex

Mesh:

Substances:

Year:  2020        PMID: 33186530      PMCID: PMC7781065          DOI: 10.1016/j.cell.2020.09.057

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


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