Phenotypic variation of transcriptomic cell types in mouse motor cortex Article Swipe
Federico Scala
,
Dmitry Kobak
,
Matteo Bernabucci
,
Yves Bernaerts
,
Cathryn R. Cadwell
,
Jesus Ramon Castro
,
Leonard Hartmanis
,
Xiaolong Jiang
,
Sophie Laturnus
,
Elanine Miranda
,
Shalaka Mulherkar
,
Zheng Huan Tan
,
Zizhen Yao
,
Hongkui Zeng
,
Rickard Sandberg
,
Philipp Berens
,
Andreas S. Tolias
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1038/s41586-020-2907-3
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1038/s41586-020-2907-3
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41586-020-2907-3
- https://www.nature.com/articles/s41586-020-2907-3.pdf
- OA Status
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- Cited By
- 364
- References
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- Related Works
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- OpenAlex ID
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- OpenAlex ID
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https://openalex.org/W3106117005Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41586-020-2907-3Digital Object Identifier
- Title
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Phenotypic variation of transcriptomic cell types in mouse motor cortexWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-11-12Full publication date if available
- Authors
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Federico Scala, Dmitry Kobak, Matteo Bernabucci, Yves Bernaerts, Cathryn R. Cadwell, Jesus Ramon Castro, Leonard Hartmanis, Xiaolong Jiang, Sophie Laturnus, Elanine Miranda, Shalaka Mulherkar, Zheng Huan Tan, Zizhen Yao, Hongkui Zeng, Rickard Sandberg, Philipp Berens, Andreas S. ToliasList of authors in order
- Landing page
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https://doi.org/10.1038/s41586-020-2907-3Publisher landing page
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https://www.nature.com/articles/s41586-020-2907-3.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.nature.com/articles/s41586-020-2907-3.pdfDirect OA link when available
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Neocortex, Biology, Transcriptome, Phenotype, Neuroscience, Electrophysiology, Cell type, Gene, Gene expression, Genetics, CellTop concepts (fields/topics) attached by OpenAlex
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364Total citation count in OpenAlex
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2025: 86, 2024: 75, 2023: 78, 2022: 68, 2021: 52Per-year citation counts (last 5 years)
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75Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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