Author Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types
| العنوان: | Author Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types |
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| المؤلفون: | Henner Koch, Jean Rossier, Gordon Fishell, Andreas S. Tolias, Sandra E. Dos Santos, Gábor Tamás, Kenta M. Hagihara, Juan Yuan, Pavel Němec, Tobias Bergmann, Boudewijn P. F. Lelieveldt, Pedro Larrañaga, Joshua R. Sanes, Hajime Hirase, William John Redmond, Huibert D. Mansvelder, Markus M. Hilscher, Homeira Moradi Chameh, Samuel Pontes, Jochen F. Staiger, Detlev Arendt, Marco Capogna, Keagan Dunville, Yong Liu, Natalia A. Goriounova, VS Bokharaie, Malte Kühnemund, Alok Nath Mohapatra, Christian Wozny, Irina Bystron, YoonJeung Chang, Michael Hawrylycz, Ed S. Lein, Peter Somogyi, Concha Bielza, Netanel Ofer, Ole Kiehn, Konstantin Khodosevich, Julio Martinez-Trujillo, Emma Louise Louth, Richárd Fiáth, Suzana Herculano-Houzel, Eric S. Kuebler, Maria Antonietta Tosches, Giorgio A. Ascoli, Hermany Munguba, Esther Serrano-Saiz, Javier DeFelipe, Oscar Marín, Angelica Foggetti, Rebecca D. Hodge, Vanessa Jane Hall, Jens Hjerling-Leffler, Josh Huang, Ann M. Clemens, Rafiq Huda, Richard H. Scheuermann, Argel Aguilar-Valles, Rafael Yuste, Onur Güntürkün, Christiaan P. J. de Kock, Thomas V. Wuttke, Ulrich Pfisterer, Xuefan Gao, Jan H. Lui, Nadia Aalling, Parviz Ghaderi, Miguel Turrero García, Moritz Helmstaedter, Rubén Armañanzas, Hongkui Zeng, Dirk Feldmeyer |
| المصدر: | Nature Neuroscience Yuste, R, Hawrylycz, M, Aalling, N, Aguilar-Valles, A, Arendt, D, Armañanzas, R, Ascoli, G A, Bielza, C, Bokharaie, V, Bergmann, T B, Bystron, I, Capogna, M, Chang, Y J, 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-Houzel, 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, Chameh, H M, Mohapatra, A N, Munguba, H, Nedergaard, M, Němec, P, Ofer, N, Pfisterer, U G, Pontes, S, Redmond, W, Rossier, J, Sanes, J R, Scheuermann, R H, Serrano-Saiz, E, Staiger, J F, Somogyi, P, Tamás, G, Tolias, A S, Tosches, M A, García, M T, Wozny, C, Wuttke, T V, Liu, Y, Yuan, J, Zeng, H & Lein, E 2021, ' Author Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types ', Nature Neuroscience, vol. 24, no. 4, pp. 612-612 . https://doi.org/10.1038/s41593-020-00779-0 |
| بيانات النشر: | Nature Publishing Group US, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Genetics of the nervous system, SDG 16 - Peace, Cells, MEDLINE, Neocortex, computer.software_genre, Neural circuits, Terminology as Topic, Animals, Humans, Author Correction, Nomenclature, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Community based, Neurons, business.industry, General Neuroscience, Published Erratum, SDG 16 - Peace, Justice and Strong Institutions, Computational Biology, Justice and Strong Institutions, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Artificial intelligence, Single-Cell Analysis, Psychology, business, Transcriptome, computer, Neuroscience, Neuroglia, Natural language processing |
| الوصف: | 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. |
| اللغة: | English |
| تدمد: | 1546-1726 1097-6256 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::631ef9525e9489bcb009de0845b2f53f http://europepmc.org/articles/PMC8012203 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....631ef9525e9489bcb009de0845b2f53f |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 15461726 10976256 |
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