A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types

<jats:title>Abstract</jats:title><jats:p>The cerebellar cortex is a well-studied brain structure with diverse roles in motor learning, coordination, cognition and autonomic regulation. However,  a complete inventory of cerebellar cell types is currently lacking. Here, using recent...

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Main Authors: Kozareva, Velina, Martin, Caroline, Osorno, Tomas, Rudolph, Stephanie, Guo, Chong, Vanderburg, Charles, Nadaf, Naeem, Regev, Aviv, Regehr, Wade G, Macosko, Evan
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2023
Online Access:https://hdl.handle.net/1721.1/147092
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author Kozareva, Velina
Martin, Caroline
Osorno, Tomas
Rudolph, Stephanie
Guo, Chong
Vanderburg, Charles
Nadaf, Naeem
Regev, Aviv
Regehr, Wade G
Macosko, Evan
author2 Massachusetts Institute of Technology. Department of Biology
author_facet Massachusetts Institute of Technology. Department of Biology
Kozareva, Velina
Martin, Caroline
Osorno, Tomas
Rudolph, Stephanie
Guo, Chong
Vanderburg, Charles
Nadaf, Naeem
Regev, Aviv
Regehr, Wade G
Macosko, Evan
author_sort Kozareva, Velina
collection MIT
description <jats:title>Abstract</jats:title><jats:p>The cerebellar cortex is a well-studied brain structure with diverse roles in motor learning, coordination, cognition and autonomic regulation. However,  a complete inventory of cerebellar cell types is currently lacking. Here, using recent advances in high-throughput transcriptional profiling<jats:sup>1–3</jats:sup>, we molecularly define cell types across individual lobules of the adult mouse cerebellum. Purkinje neurons showed considerable regional specialization, with the greatest diversity occurring in the posterior lobules. For several types of cerebellar interneuron, the molecular variation within each type was more continuous, rather than discrete. In particular, for the unipolar brush cells—an interneuron population previously subdivided into discrete populations—the continuous variation in gene expression was associated with a graded continuum of electrophysiological properties. Notably, we found that molecular layer interneurons were composed of two molecularly and functionally distinct types. Both types show a continuum of morphological variation through the thickness of the molecular layer, but electrophysiological recordings revealed marked differences between the two types in spontaneous firing, excitability and electrical coupling. Together, these findings provide a comprehensive cellular atlas of the cerebellar cortex, and outline a methodological and conceptual framework for the integration of molecular, morphological and physiological ontologies for defining brain cell types.</jats:p>
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spelling mit-1721.1/1470922023-01-14T03:38:31Z A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types Kozareva, Velina Martin, Caroline Osorno, Tomas Rudolph, Stephanie Guo, Chong Vanderburg, Charles Nadaf, Naeem Regev, Aviv Regehr, Wade G Macosko, Evan Massachusetts Institute of Technology. Department of Biology <jats:title>Abstract</jats:title><jats:p>The cerebellar cortex is a well-studied brain structure with diverse roles in motor learning, coordination, cognition and autonomic regulation. However,  a complete inventory of cerebellar cell types is currently lacking. Here, using recent advances in high-throughput transcriptional profiling<jats:sup>1–3</jats:sup>, we molecularly define cell types across individual lobules of the adult mouse cerebellum. Purkinje neurons showed considerable regional specialization, with the greatest diversity occurring in the posterior lobules. For several types of cerebellar interneuron, the molecular variation within each type was more continuous, rather than discrete. In particular, for the unipolar brush cells—an interneuron population previously subdivided into discrete populations—the continuous variation in gene expression was associated with a graded continuum of electrophysiological properties. Notably, we found that molecular layer interneurons were composed of two molecularly and functionally distinct types. Both types show a continuum of morphological variation through the thickness of the molecular layer, but electrophysiological recordings revealed marked differences between the two types in spontaneous firing, excitability and electrical coupling. Together, these findings provide a comprehensive cellular atlas of the cerebellar cortex, and outline a methodological and conceptual framework for the integration of molecular, morphological and physiological ontologies for defining brain cell types.</jats:p> 2023-01-13T13:59:43Z 2023-01-13T13:59:43Z 2021 2023-01-13T13:52:20Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/147092 Kozareva, Velina, Martin, Caroline, Osorno, Tomas, Rudolph, Stephanie, Guo, Chong et al. 2021. "A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types." Nature, 598 (7879). en 10.1038/S41586-021-03220-Z Nature Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Springer Science and Business Media LLC Nature
spellingShingle Kozareva, Velina
Martin, Caroline
Osorno, Tomas
Rudolph, Stephanie
Guo, Chong
Vanderburg, Charles
Nadaf, Naeem
Regev, Aviv
Regehr, Wade G
Macosko, Evan
A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types
title A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types
title_full A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types
title_fullStr A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types
title_full_unstemmed A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types
title_short A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types
title_sort transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types
url https://hdl.handle.net/1721.1/147092
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