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Phenotypic variation of transcriptomic cell types in mouse motor cortex

Cortical neurons exhibit extreme diversity in gene expression as well as in morphological and electrophysiological properties(1,2). Most existing neural taxonomies are based on either transcriptomic(3,4) or morpho-electric(5,6) criteria, as it has been technically challenging to study both aspects o...

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Autores principales: Scala, Federico, Kobak, Dmitry, Bernabucci, Matteo, Bernaerts, Yves, Cadwell, Cathryn René, Castro, Jesus Ramon, Hartmanis, Leonard, Jiang, Xiaolong, Laturnus, Sophie, Miranda, Elanine, Mulherkar, Shalaka, Tan, Zheng Huan, Yao, Zizhen, Zeng, Hongkui, Sandberg, Rickard, Berens, Philipp, Tolias, Andreas S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113357/
https://www.ncbi.nlm.nih.gov/pubmed/33184512
http://dx.doi.org/10.1038/s41586-020-2907-3
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author Scala, Federico
Kobak, Dmitry
Bernabucci, Matteo
Bernaerts, Yves
Cadwell, Cathryn René
Castro, Jesus Ramon
Hartmanis, Leonard
Jiang, Xiaolong
Laturnus, Sophie
Miranda, Elanine
Mulherkar, Shalaka
Tan, Zheng Huan
Yao, Zizhen
Zeng, Hongkui
Sandberg, Rickard
Berens, Philipp
Tolias, Andreas S.
author_facet Scala, Federico
Kobak, Dmitry
Bernabucci, Matteo
Bernaerts, Yves
Cadwell, Cathryn René
Castro, Jesus Ramon
Hartmanis, Leonard
Jiang, Xiaolong
Laturnus, Sophie
Miranda, Elanine
Mulherkar, Shalaka
Tan, Zheng Huan
Yao, Zizhen
Zeng, Hongkui
Sandberg, Rickard
Berens, Philipp
Tolias, Andreas S.
author_sort Scala, Federico
collection PubMed
description Cortical neurons exhibit extreme diversity in gene expression as well as in morphological and electrophysiological properties(1,2). Most existing neural taxonomies are based on either transcriptomic(3,4) or morpho-electric(5,6) criteria, as it has been technically challenging to study both aspects of neuronal diversity in the same set of cells(7). Here we used Patch-seq(8) to combine patch-clamp recording, biocytin staining, and single-cell RNA sequencing of more than 1,300 neurons in adult mouse primary motor cortex, providing a morpho-electric annotation of almost all transcriptomically defined neural cell types. We found that, although broad families of transcriptomic types (those expressing Vip, Pvalb, Sst and so on) had distinct and essentially non-overlapping morpho-electric phenotypes, individual transcriptomic types within the same family were not well separated in the morpho-electric space. Instead, there was a continuum of variability in morphology and electrophysiology, with neighbouring transcriptomic cell types showing similar morpho-electric features, often without clear boundaries between them. Our results suggest that neuronal types in the neocortex do not always form discrete entities. Instead, neurons form a hierarchy that consists of distinct non-overlapping branches at the level of families, but can form continuous and correlated transcriptomic and morpho-electrical landscapes within families.
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spelling pubmed-81133572021-10-08 Phenotypic variation of transcriptomic cell types in mouse motor cortex Scala, Federico Kobak, Dmitry Bernabucci, Matteo Bernaerts, Yves Cadwell, Cathryn René Castro, Jesus Ramon Hartmanis, Leonard Jiang, Xiaolong Laturnus, Sophie Miranda, Elanine Mulherkar, Shalaka Tan, Zheng Huan Yao, Zizhen Zeng, Hongkui Sandberg, Rickard Berens, Philipp Tolias, Andreas S. Nature Article Cortical neurons exhibit extreme diversity in gene expression as well as in morphological and electrophysiological properties(1,2). Most existing neural taxonomies are based on either transcriptomic(3,4) or morpho-electric(5,6) criteria, as it has been technically challenging to study both aspects of neuronal diversity in the same set of cells(7). Here we used Patch-seq(8) to combine patch-clamp recording, biocytin staining, and single-cell RNA sequencing of more than 1,300 neurons in adult mouse primary motor cortex, providing a morpho-electric annotation of almost all transcriptomically defined neural cell types. We found that, although broad families of transcriptomic types (those expressing Vip, Pvalb, Sst and so on) had distinct and essentially non-overlapping morpho-electric phenotypes, individual transcriptomic types within the same family were not well separated in the morpho-electric space. Instead, there was a continuum of variability in morphology and electrophysiology, with neighbouring transcriptomic cell types showing similar morpho-electric features, often without clear boundaries between them. Our results suggest that neuronal types in the neocortex do not always form discrete entities. Instead, neurons form a hierarchy that consists of distinct non-overlapping branches at the level of families, but can form continuous and correlated transcriptomic and morpho-electrical landscapes within families. Nature Publishing Group UK 2020-11-12 2021 /pmc/articles/PMC8113357/ /pubmed/33184512 http://dx.doi.org/10.1038/s41586-020-2907-3 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Scala, Federico
Kobak, Dmitry
Bernabucci, Matteo
Bernaerts, Yves
Cadwell, Cathryn René
Castro, Jesus Ramon
Hartmanis, Leonard
Jiang, Xiaolong
Laturnus, Sophie
Miranda, Elanine
Mulherkar, Shalaka
Tan, Zheng Huan
Yao, Zizhen
Zeng, Hongkui
Sandberg, Rickard
Berens, Philipp
Tolias, Andreas S.
Phenotypic variation of transcriptomic cell types in mouse motor cortex
title Phenotypic variation of transcriptomic cell types in mouse motor cortex
title_full Phenotypic variation of transcriptomic cell types in mouse motor cortex
title_fullStr Phenotypic variation of transcriptomic cell types in mouse motor cortex
title_full_unstemmed Phenotypic variation of transcriptomic cell types in mouse motor cortex
title_short Phenotypic variation of transcriptomic cell types in mouse motor cortex
title_sort phenotypic variation of transcriptomic cell types in mouse motor cortex
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113357/
https://www.ncbi.nlm.nih.gov/pubmed/33184512
http://dx.doi.org/10.1038/s41586-020-2907-3
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