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Toward an Integrated Classification of Cell Types: Morphoelectric and Transcriptomic Characterization of Individual GABAergic Cortical Neurons

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

Details

ISSN :
15565068
Database :
OpenAIRE
Journal :
SSRN Electronic Journal
Accession number :
edsair.doi...........3e0f199bc6125bc983caae4340b6bbde
Full Text :
https://doi.org/10.2139/ssrn.3544405