A community-based transcriptomics classification and nomenclature of neocortical cell types

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F20%3A10418344" target="_blank" >RIV/00216208:11310/20:10418344 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=L-vy2DG29i" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=L-vy2DG29i</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41593-020-0685-8" target="_blank" >10.1038/s41593-020-0685-8</a>

Result language

angličtina

Original language name

A community-based transcriptomics classification and nomenclature of neocortical cell types

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30105 - Physiology (including cytology)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nature Neuroscience

ISSN

1097-6256

e-ISSN

—

Volume of the periodical

23

Issue of the periodical within the volume

12

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

1456-1468

UT code for WoS article

000562723600001

EID of the result in the Scopus database

2-s2.0-85089752207