A community-based transcriptomics classification and nomenclature of neocortical cell types.
Journal
Nature neuroscience
ISSN: 1546-1726
Titre abrégé: Nat Neurosci
Pays: United States
ID NLM: 9809671
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
pubmed:
26
8
2020
medline:
9
2
2021
entrez:
26
8
2020
Statut:
ppublish
Résumé
To understand the function of cortical circuits, it is necessary to catalog their cellular diversity. Past attempts to do so using anatomical, physiological or molecular features of cortical cells have not resulted in a unified taxonomy of neuronal or glial cell types, partly due to limited data. Single-cell transcriptomics is enabling, for the first time, systematic high-throughput measurements of cortical cells and generation of datasets that hold the promise of being complete, accurate and permanent. Statistical analyses of these data reveal clusters that often correspond to cell types previously defined by morphological or physiological criteria and that appear conserved across cortical areas and species. To capitalize on these new methods, we propose the adoption of a transcriptome-based taxonomy of cell types for mammalian neocortex. This classification should be hierarchical and use a standardized nomenclature. It should be based on a probabilistic definition of a cell type and incorporate data from different approaches, developmental stages and species. A community-based classification and data aggregation model, such as a knowledge graph, could provide a common foundation for the study of cortical circuits. This community-based classification, nomenclature and data aggregation could serve as an example for cell type atlases in other parts of the body.
Identifiants
pubmed: 32839617
doi: 10.1038/s41593-020-0685-8
pii: 10.1038/s41593-020-0685-8
pmc: PMC7683348
mid: NIHMS1627961
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1456-1468Subventions
Organisme : NIMH NIH HHS
ID : R01 MH115900
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY011787
Pays : United States
Organisme : NINDS NIH HHS
ID : RF1 NS110049
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS100366
Pays : United States
Organisme : NIMH NIH HHS
ID : U19 MH114830
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY026927
Pays : United States
Organisme : NIMH NIH HHS
ID : K01 MH114022
Pays : United States
Organisme : NIMH NIH HHS
ID : R00 MH112855
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG057575
Pays : United States
Commentaires et corrections
Type : ErratumIn
Type : ErratumIn
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