A community-based transcriptomics classification and nomenclature of neocortical cell types
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.
Cite
@article{arxiv.1909.03083,
title = {A community-based transcriptomics classification and nomenclature of neocortical cell types},
author = {Rafael Yuste and Michael Hawrylycz and Nadia Aalling and Detlev Arendt and Ruben Armananzas and Giorgio Ascoli and Concha Bielza and Vahid Bokharaie and Tobias Bergmann and Irina Bystron and Marco Capogna and Yoonjeung Chang and Ann Clemens and Christiaan de Kock and Javier DeFelipe and Sandra Dos Santos and Keagan Dunville and Dirk Feldmeyer and Richard Fiath and Gordon Fishell and Angelica Foggetti and Xuefan Gao and Parviz Ghaderi and Onur Gunturkun and Vanessa Jane Hall and Moritz Helmstaedter and Suzana Herculano-Houzel and Markus Hilscher and Hajime Hirase and Jens Hjerling-Leffler and Rebecca Hodge and Z. Josh Huang and Rafiq Huda and Yuan Juan and Konstantin Khodosevich and Ole Kiehn and Henner Koch and Eric Kuebler and Malte Kuhnemund and Pedro Larranaga and Boudewijn Lelieveldt and Emma Louise Louth and Jan Lui and Huibert Mansvelder and Oscar Marin and Julio Martínez-Trujillo and Homeira Moradi and Natalia Goriounova and Alok Mohapatra and Maiken Nedergaard and Pavel Němec and Netanel Ofer and Ulrich Pfisterer and Samuel Pontes and William Redmond and Jean Rossier and Joshua Sanes and Richard Scheuermann and Esther Serrano Saiz and Peter Somogyi and Gábor Tamás and Andreas Tolias and Maria Tosches and Miguel Turrero Garcia and Argel Aguilar-Valles and Hermany Munguba and Christian Wozny and Thomas Wuttke and Liu Yong and Hongkui Zeng and Ed S. Lein},
journal= {arXiv preprint arXiv:1909.03083},
year = {2019}
}
Comments
21 pages, 3 figures