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

Autor: Rafael Yuste, Michael Hawrylycz, Nadia Aalling, Argel Aguilar-Valles, Detlev Arendt, Ruben Armañanzas, Giorgio A. Ascoli, Concha Bielza, Vahid Bokharaie, Tobias Borgtoft Bergmann, Irina Bystron, Marco Capogna, YoonJeung Chang, Ann Clemens, Christiaan P. J. de Kock, Javier DeFelipe, Sandra Esmeralda Dos Santos, Keagan Dunville, Dirk Feldmeyer, Richárd Fiáth, Gordon James Fishell, Angelica Foggetti, Xuefan Gao, Parviz Ghaderi, Natalia A. Goriounova, Onur Güntürkün, Kenta Hagihara, Vanessa Jane Hall, Moritz Helmstaedter, Suzana Herculano-Houzel, Markus M. Hilscher, Hajime Hirase, Jens Hjerling-Leffler, Rebecca Hodge, Josh Huang, Rafiq Huda, Konstantin Khodosevich, Ole Kiehn, Henner Koch, Eric S. Kuebler, Malte Kühnemund, Pedro Larrañaga, Boudewijn Lelieveldt, Emma Louise Louth, Jan H. Lui, Huibert D. Mansvelder, Oscar Marin, Julio Martinez-Trujillo, Homeira Moradi Chameh, Alok Nath Mohapatra, Hermany Munguba, Maiken Nedergaard, Pavel Němec, Netanel Ofer, Ulrich Gottfried Pfisterer, Samuel Pontes, William Redmond, Jean Rossier, Joshua R. Sanes, Richard H. Scheuermann, Esther Serrano-Saiz, Jochen F. Staiger, Peter Somogyi, Gábor Tamás, Andreas Savas Tolias, Maria Antonietta Tosches, Miguel Turrero García, Christian Wozny, Thomas V. Wuttke, Yong Liu, Juan Yuan, Hongkui Zeng, Ed Lein
Přispěvatelé: Integrative Neurophysiology, Amsterdam Neuroscience - Systems & Network Neuroscience
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0301 basic medicine
Genetics of the nervous system
Biología
neurons
Neocortex
Transcriptome
taxonomy
0302 clinical medicine
Psychology
Nomenclature
identity
Neurons
Community based
Informática
General Neuroscience
organization
3. Good health
medicine.anatomical_structure
rna-seq
q-bio.GN
Cognitive Sciences
Neurons and Cognition (q-bio.NC)
Single-Cell Analysis
Neuroglia
Biotechnology
Cell type
architecture
reconstruction
q-bio.NC
Cells
1.1 Normal biological development and functioning
Biology
Neural circuits
visual-cortex
03 medical and health sciences
Underpinning research
Terminology as Topic
evolution
Genetics
medicine
Animals
Humans
Quantitative Biology - Genomics
Genomics (q-bio.GN)
Cortical circuits
Neurology & Neurosurgery
interneurons
Comment
Neurosciences
Probabilistic logic
Computational Biology
Data aggregator
030104 developmental biology
FOS: Biological sciences
Quantitative Biology - Neurons and Cognition
Generic health relevance
Neuroscience
030217 neurology & neurosurgery
Zdroj: Yuste, R, Hawrylycz, M, Aalling, N, Arendt, D, Armananzas, R, Ascoli, G, Bielza, C, Bokharaie, V, Bergmann, T, Bystron, I, Capogna, M, Chang, Y, Clemens, A, Kock, C D, DeFelipe, J, Santos, S D, Dunville, K, Feldmeyer, D, Fiath, R, Fishell, G, Foggetti, A, Gao, X, Ghaderi, P, Gunturkun, O, Hall, V J, Helmstaedter, M, Herculano-Houzel, S, Hilscher, M, Hirase, H, Hjerling-Leffler, J, Hodge, R, Huang, Z J, Huda, R, Juan, Y, Khodosevich, K, Kiehn, O, Koch, H, Kuebler, E, Kuhnemund, M, Larranaga, P, Lelieveldt, B, Louth, E L, Lui, J, Mansvelder, H, Marin, O, Martínez-Trujillo, J, Moradi, H, Goriounova, N, Mohapatra, A, Nedergaard, M, Němec, P, Ofer, N, Pfisterer, U, Pontes, S, Redmond, W, Rossier, J, Sanes, J, Scheuermann, R, Saiz, E S, Somogyi, P, Tamás, G, Tolias, A, Tosches, M, Garcia, M T, Aguilar-Valles, A, Munguba, H, Wozny, C, Wuttke, T, Yong, L, Zeng, H & Lein, E S 2020, ' A community-based transcriptomics classification and nomenclature of neocortical cell types ', Nature Neuroscience . https://doi.org/10.1038/s41593-020-0685-8
Digital.CSIC. Repositorio Institucional del CSIC
instname
Yuste, R, Hawrylycz, M, Aalling, N, Aguilar-Valles, A, Arendt, D, Arnedillo, R A, Ascoli, G A, Bielza, C, Bokharaie, V, Bergmann, T B, Bystron, I, Capogna, M, Chang, Y, Clemens, A, de Kock, C P J, DeFelipe, J, Dos Santos, S E, Dunville, K, Feldmeyer, D, Fiáth, R, Fishell, G J, Foggetti, A, Gao, X, Ghaderi, P, Goriounova, N A, Güntürkün, O, Hagihara, K, Hall, V J, Helmstaedter, M, Herculano, S, Hilscher, M M, Hirase, H, Hjerling-Leffler, J, Hodge, R, Huang, J, Huda, R, Khodosevich, K, Kiehn, O, Koch, H, Kuebler, E S, Kühnemund, M, Larrañaga, P, Lelieveldt, B, Louth, E L, Lui, J H, Mansvelder, H D, Marin, O, Martinez-Trujillo, J, Moradi Chameh, H, Nath, A, Nedergaard, M, Němec, P, Ofer, N, Pfisterer, U G, Pontes, S, Redmond, W, Rossier, J, Sanes, J R, Scheuermann, R, Serrano-Saiz, E, Steiger, J F, Somogyi, P, Tamás, G, Tolias, A S, Tosches, M A, García, M T, Vieira, H M, Wozny, C, Wuttke, T V, Yong, L, Yuan, J, Zeng, H & Lein, E 2020, ' A community-based transcriptomics classification and nomenclature of neocortical cell types ', Nature Neuroscience, vol. 23, no. 12, pp. 1456-1468 . https://doi.org/10.1038/s41593-020-0685-8
Nature Neuroscience, 23(12), 1456-1468. Nature Publishing Group
Nature Neuroscience
Nature Neuroscience, ISSN 1097-6256, 2020-03, Vol. 23
Yuste, R, Hawrylycz, M, Aalling, N, Aguilar-valles, A, Arendt, D, Arnedillo, R A, Ascoli, G A, Bielza, C, Bokharaie, V, Bergmann, T B, Bystron, I, Capogna, M, Chang, Y, Clemens, A, De Kock, C P J, Defelipe, J, Dos Santos, S E, Dunville, K, Feldmeyer, D, Fiáth, R, Fishell, G J, Foggetti, A, Gao, X, Ghaderi, P, Goriounova, N A, Güntürkün, O, Hagihara, K, Hall, V J, Helmstaedter, M, Herculano, S, Hilscher, M M, Hirase, H, Hjerling-leffler, J, Hodge, R, Huang, J, Huda, R, Khodosevich, K, Kiehn, O, Koch, H, Kuebler, E S, Kühnemund, M, Larrañaga, P, Lelieveldt, B, Louth, E L, Lui, J H, Mansvelder, H D, Marin, O, Martinez-trujillo, J, Moradi Chameh, H, Nath, A, Nedergaard, M, Němec, P, Ofer, N, Pfisterer, U G, Pontes, S, Redmond, W, Rossier, J, Sanes, J R, Scheuermann, R, Serrano-saiz, E, Steiger, J F, Somogyi, P, Tamás, G, Tolias, A S, Tosches, M A, García, M T, Vieira, H M, Wozny, C, Wuttke, T V, Yong, L, Yuan, J, Zeng, H & Lein, E 2020, ' A community-based transcriptomics classification and nomenclature of neocortical cell types ', Nature Neuroscience, vol. 23, pp. 1456-1468 . https://doi.org/10.1038/s41593-020-0685-8
Nat Neurosci
Nature neuroscience 23(12), 1456-1468 (2020). doi:10.1038/s41593-020-0685-8 special issue: "Focus on neuroscience methods"
Nature Neuroscience, 23(12), 1456-1468. NATURE RESEARCH
Physiology and Pharmacology Publications
Nature neuroscience, vol 23, iss 12
ISSN: 1097-6256
Popis: 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.
21 pages, 3 figures
Databáze: OpenAIRE
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