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Toward an integrated classification of neuronal cell types: morphoelectric and transcriptomic characterization of individual GABAergic cortical neurons

Authors :
David Feng
Jessica Trinh
Tamara Casper
Lisa Kim
Rohan Gala
Clare Gamlin
Matthew Kroll
Uygar Sümbül
Lauren Alfiler
Thomas Braun
Jasmine Bomben
Bosiljka Tasic
Colin Farrell
Hongkui Zeng
Lydia Potekhina
Tsega Desta
Kiet Ngo
Lydia Ng
Alice Mukora
Fahimeh Baftizadeh
Aaron Szafer
Rachel A. Dalley
Shea Ransford
Changkyu Lee
Nick Dee
Brian Lee
Kirsten Crichton
Luke Esposito
Miranda Robertson
Josef Sulc
Alex M. Henry
Darren Bertagnolli
Tom Egdorf
Nadezhda Dotson
Zhi Zhou
Jim Berg
Philip R. Nicovich
Rusty Mann
Madie Hupp
Daniel Park
Delissa McMillen
Samuel Dingman Lee
Agata Budzillo
Eliza Barkan
Olivia Fong
Thanh Pham
Jeff Goldy
Ed S. Lein
Rebecca de Frates
Kimberly A. Smith
Amy Torkelson
Tim Jarsky
Michelle Maxwell
Michael Tieu
Susan M. Sunkin
Michael Hawrylycz
Lucas T. Graybuck
Herman Tung
David Reid
DiJon Hill
Alexandra Glandon
Kara Ronellenfitch
Aaron Oldre
Amanda Gary
Nathan W. Gouwens
Christof Koch
Alice Pom
Wayne Wakeman
Sara Kebede
Matthew Mallory
Tae Kyung Kim
Tanya L. Daigle
Kris Bickley
Anton Arkhipov
Osnat Penn
Staci A. Sorensen
Rachel Enstrom
Hanchuan Peng
Ramkumar Rajanbabu
Jonathan T. Ting
Zizhen Yao
Lauren Ellingwood
Medea McGraw
Gabe J. Murphy
Katherine Baker
Krissy Brouner
Hong Gu
David Sandman
Katelyn Ward
Kyla Berry
Katherine E. Link
Lindsay Ng
Christine Rimorin
Kristen Hadley
Augustin Ruiz
Grace Williams
Melissa Gorham
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Neurons are frequently classified into distinct groups or cell 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 3,700 GABAergic mouse visual cortical neurons and reconstructed the local morphologies of 350 of those neurons. We found that most transcriptomic types (t-types) occupy specific laminar positions within mouse visual cortex, and many of those t-types exhibit consistent electrophysiological and morphological features. We observed that these properties could vary continuously between t-types, which limited the ability to predict specific t-types from other data modalities. Despite that, the data support the presence of at least 20 interneuron met-types that have congruent morphological, electrophysiological, and transcriptomic properties.HighlightsPatch-seq data obtained from >3,700 GABAergic cortical interneuronsComprehensive characterization of morpho-electric features of transcriptomic types20 interneuron met-types that have congruent properties across data modalitiesDifferent Sst met-types preferentially innervate different cortical layers

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....d39e0eff31178891ed5fdbb75998981b
Full Text :
https://doi.org/10.1101/2020.02.03.932244