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

Yuste, R., Hawrylycz, M., Aalling, N., Arendt, D., Armananzas, R., Ascoli, G., et al. (submitted). A community-based transcriptomics classification and nomenclature of neocortical cell types.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-AF8B-B Version Permalink: http://hdl.handle.net/21.11116/0000-0004-AF8D-9
Genre: Journal Article

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 Creators:
Yuste, R, Author
Hawrylycz, M, Author
Aalling, N, Author
Arendt, D, Author
Armananzas, R, Author
Ascoli, G, Author
Bielza, C, Author
Bokharaie, VS1, 2, Author              
Bergmann, T, Author
Bystron, I, Author
Capogna, M, Author
Chang, Y, Author
Clemens , A, Author
de Kock, C, Author
DeFelipe, J, Author
Dos Santos, S, Author
Dunville, K, Author
Feldmeyer, D, Author
Fiáth, R, Author
Fishell, G, Author
Foggetti, A, AuthorGao, X, AuthorGhaderi, P, AuthorGüntürkün, O, AuthorHall, VJ, AuthorHelmstaedter, M, AuthorHerculano-Houzel, S, AuthorHilscher, M, AuthorHirase, H, AuthorHjerling-Leffler, J, AuthorHodge, R, AuthorHuang, ZJ, AuthorHuda, R, AuthorJuan, Y, AuthorKhodosevich, K, AuthorKiehn, O, AuthorKoch, H, AuthorKuebler, E, AuthorKühnemund, M, AuthorLarrañaga, P, AuthorLelieveldt, D, AuthorLouth, EL, AuthorLui, J, AuthorMansvelder, H, AuthorMarin, O, AuthorMartínez-Trujillo, J, AuthorMoradi, H, AuthorGoriounova, N, AuthorMohapatra, A, AuthorNedergaard, M, AuthorNěmec, P, AuthorOfer, N, AuthorPfisterer, U, AuthorPontes, S, AuthorRedmond , W, AuthorRossier, J, AuthorSanes, J, AuthorScheuermann, R, AuthorSerrano Saiz, E, AuthorSomogyi, P, AuthorTamás, G, AuthorTolias, A, Author              Tosches, M, AuthorTurrero Garcia, M, AuthorAguilar-Valles, A, AuthorMunguba, H, AuthorWozny, C, AuthorWuttke, T, AuthorYong, L, AuthorZeng, H, AuthorLein, ES, Author more..
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: To understand the function of cortical circuits it is necessary to classify their underlying cellular diversity. Traditional attempts based on comparing anatomical or physiological features of neurons and glia, while productive, have not resulted in a unified taxonomy of neural cell types. The recent development of single-cell transcriptomics has enabled, for the first time, systematic high-throughput profiling of large numbers of cortical cells and the generation of datasets that hold the promise of being complete, accurate and permanent. Statistical analyses of these data have revealed the existence of clear clusters, many of which correspond to cell types defined by traditional criteria, and which are conserved across cortical areas and species. To capitalize on these innovations and advance the field, we, the Copenhagen Convention Group, propose the community adopts a transcriptome-based taxonomy of the cell types in the adult mammalian neocortex. This core classification should be ontological, hierarchical and use a standardized nomenclature. It should be configured to flexibly incorporate new data from multiple approaches, developmental stages and a growing number of species, enabling improvement and revision of the classification. This community-based strategy could serve as a common foundation for future detailed analysis and reverse engineering of cortical circuits and serve as an example for cell type classification in other parts of the nervous system and other organs.

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 Dates: 2019-09
 Publication Status: Submitted
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Title: Copenhagen classification
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 21 Identifier: -