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A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex
Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain(1–3). With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organ...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494649/ https://www.ncbi.nlm.nih.gov/pubmed/34616066 http://dx.doi.org/10.1038/s41586-021-03500-8 |
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author | Yao, Zizhen Liu, Hanqing Xie, Fangming Fischer, Stephan Adkins, Ricky S. Aldridge, Andrew I. Ament, Seth A. Bartlett, Anna Behrens, M. Margarita Van den Berge, Koen Bertagnolli, Darren de Bézieux, Hector Roux Biancalani, Tommaso Booeshaghi, A. Sina Bravo, Héctor Corrada Casper, Tamara Colantuoni, Carlo Crabtree, Jonathan Creasy, Heather Crichton, Kirsten Crow, Megan Dee, Nick Dougherty, Elizabeth L. Doyle, Wayne I. Dudoit, Sandrine Fang, Rongxin Felix, Victor Fong, Olivia Giglio, Michelle Goldy, Jeff Hawrylycz, Mike Herb, Brian R. Hertzano, Ronna Hou, Xiaomeng Hu, Qiwen Kancherla, Jayaram Kroll, Matthew Lathia, Kanan Li, Yang Eric Lucero, Jacinta D. Luo, Chongyuan Mahurkar, Anup McMillen, Delissa Nadaf, Naeem M. Nery, Joseph R. Nguyen, Thuc Nghi Niu, Sheng-Yong Ntranos, Vasilis Orvis, Joshua Osteen, Julia K. Pham, Thanh Pinto-Duarte, Antonio Poirion, Olivier Preissl, Sebastian Purdom, Elizabeth Rimorin, Christine Risso, Davide Rivkin, Angeline C. Smith, Kimberly Street, Kelly Sulc, Josef Svensson, Valentine Tieu, Michael Torkelson, Amy Tung, Herman Vaishnav, Eeshit Dhaval Vanderburg, Charles R. van Velthoven, Cindy Wang, Xinxin White, Owen R. Huang, Z. Josh Kharchenko, Peter V. Pachter, Lior Ngai, John Regev, Aviv Tasic, Bosiljka Welch, Joshua D. Gillis, Jesse Macosko, Evan Z. Ren, Bing Ecker, Joseph R. Zeng, Hongkui Mukamel, Eran A. |
author_facet | Yao, Zizhen Liu, Hanqing Xie, Fangming Fischer, Stephan Adkins, Ricky S. Aldridge, Andrew I. Ament, Seth A. Bartlett, Anna Behrens, M. Margarita Van den Berge, Koen Bertagnolli, Darren de Bézieux, Hector Roux Biancalani, Tommaso Booeshaghi, A. Sina Bravo, Héctor Corrada Casper, Tamara Colantuoni, Carlo Crabtree, Jonathan Creasy, Heather Crichton, Kirsten Crow, Megan Dee, Nick Dougherty, Elizabeth L. Doyle, Wayne I. Dudoit, Sandrine Fang, Rongxin Felix, Victor Fong, Olivia Giglio, Michelle Goldy, Jeff Hawrylycz, Mike Herb, Brian R. Hertzano, Ronna Hou, Xiaomeng Hu, Qiwen Kancherla, Jayaram Kroll, Matthew Lathia, Kanan Li, Yang Eric Lucero, Jacinta D. Luo, Chongyuan Mahurkar, Anup McMillen, Delissa Nadaf, Naeem M. Nery, Joseph R. Nguyen, Thuc Nghi Niu, Sheng-Yong Ntranos, Vasilis Orvis, Joshua Osteen, Julia K. Pham, Thanh Pinto-Duarte, Antonio Poirion, Olivier Preissl, Sebastian Purdom, Elizabeth Rimorin, Christine Risso, Davide Rivkin, Angeline C. Smith, Kimberly Street, Kelly Sulc, Josef Svensson, Valentine Tieu, Michael Torkelson, Amy Tung, Herman Vaishnav, Eeshit Dhaval Vanderburg, Charles R. van Velthoven, Cindy Wang, Xinxin White, Owen R. Huang, Z. Josh Kharchenko, Peter V. Pachter, Lior Ngai, John Regev, Aviv Tasic, Bosiljka Welch, Joshua D. Gillis, Jesse Macosko, Evan Z. Ren, Bing Ecker, Joseph R. Zeng, Hongkui Mukamel, Eran A. |
author_sort | Yao, Zizhen |
collection | PubMed |
description | Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain(1–3). With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion. We developed computational and statistical methods to integrate multimodal data and quantitatively validate cell-type reproducibility. The resulting reference atlas—containing over 56 neuronal cell types that are highly replicable across analysis methods, sequencing technologies and modalities—is a comprehensive molecular and genomic account of the diverse neuronal and non-neuronal cell types in the mouse primary motor cortex. The atlas includes a population of excitatory neurons that resemble pyramidal cells in layer 4 in other cortical regions(4). We further discovered thousands of concordant marker genes and gene regulatory elements for these cell types. Our results highlight the complex molecular regulation of cell types in the brain and will directly enable the design of reagents to target specific cell types in the mouse primary motor cortex for functional analysis. |
format | Online Article Text |
id | pubmed-8494649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84946492021-10-19 A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex Yao, Zizhen Liu, Hanqing Xie, Fangming Fischer, Stephan Adkins, Ricky S. Aldridge, Andrew I. Ament, Seth A. Bartlett, Anna Behrens, M. Margarita Van den Berge, Koen Bertagnolli, Darren de Bézieux, Hector Roux Biancalani, Tommaso Booeshaghi, A. Sina Bravo, Héctor Corrada Casper, Tamara Colantuoni, Carlo Crabtree, Jonathan Creasy, Heather Crichton, Kirsten Crow, Megan Dee, Nick Dougherty, Elizabeth L. Doyle, Wayne I. Dudoit, Sandrine Fang, Rongxin Felix, Victor Fong, Olivia Giglio, Michelle Goldy, Jeff Hawrylycz, Mike Herb, Brian R. Hertzano, Ronna Hou, Xiaomeng Hu, Qiwen Kancherla, Jayaram Kroll, Matthew Lathia, Kanan Li, Yang Eric Lucero, Jacinta D. Luo, Chongyuan Mahurkar, Anup McMillen, Delissa Nadaf, Naeem M. Nery, Joseph R. Nguyen, Thuc Nghi Niu, Sheng-Yong Ntranos, Vasilis Orvis, Joshua Osteen, Julia K. Pham, Thanh Pinto-Duarte, Antonio Poirion, Olivier Preissl, Sebastian Purdom, Elizabeth Rimorin, Christine Risso, Davide Rivkin, Angeline C. Smith, Kimberly Street, Kelly Sulc, Josef Svensson, Valentine Tieu, Michael Torkelson, Amy Tung, Herman Vaishnav, Eeshit Dhaval Vanderburg, Charles R. van Velthoven, Cindy Wang, Xinxin White, Owen R. Huang, Z. Josh Kharchenko, Peter V. Pachter, Lior Ngai, John Regev, Aviv Tasic, Bosiljka Welch, Joshua D. Gillis, Jesse Macosko, Evan Z. Ren, Bing Ecker, Joseph R. Zeng, Hongkui Mukamel, Eran A. Nature Article Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain(1–3). With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion. We developed computational and statistical methods to integrate multimodal data and quantitatively validate cell-type reproducibility. The resulting reference atlas—containing over 56 neuronal cell types that are highly replicable across analysis methods, sequencing technologies and modalities—is a comprehensive molecular and genomic account of the diverse neuronal and non-neuronal cell types in the mouse primary motor cortex. The atlas includes a population of excitatory neurons that resemble pyramidal cells in layer 4 in other cortical regions(4). We further discovered thousands of concordant marker genes and gene regulatory elements for these cell types. Our results highlight the complex molecular regulation of cell types in the brain and will directly enable the design of reagents to target specific cell types in the mouse primary motor cortex for functional analysis. Nature Publishing Group UK 2021-10-06 2021 /pmc/articles/PMC8494649/ /pubmed/34616066 http://dx.doi.org/10.1038/s41586-021-03500-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yao, Zizhen Liu, Hanqing Xie, Fangming Fischer, Stephan Adkins, Ricky S. Aldridge, Andrew I. Ament, Seth A. Bartlett, Anna Behrens, M. Margarita Van den Berge, Koen Bertagnolli, Darren de Bézieux, Hector Roux Biancalani, Tommaso Booeshaghi, A. Sina Bravo, Héctor Corrada Casper, Tamara Colantuoni, Carlo Crabtree, Jonathan Creasy, Heather Crichton, Kirsten Crow, Megan Dee, Nick Dougherty, Elizabeth L. Doyle, Wayne I. Dudoit, Sandrine Fang, Rongxin Felix, Victor Fong, Olivia Giglio, Michelle Goldy, Jeff Hawrylycz, Mike Herb, Brian R. Hertzano, Ronna Hou, Xiaomeng Hu, Qiwen Kancherla, Jayaram Kroll, Matthew Lathia, Kanan Li, Yang Eric Lucero, Jacinta D. Luo, Chongyuan Mahurkar, Anup McMillen, Delissa Nadaf, Naeem M. Nery, Joseph R. Nguyen, Thuc Nghi Niu, Sheng-Yong Ntranos, Vasilis Orvis, Joshua Osteen, Julia K. Pham, Thanh Pinto-Duarte, Antonio Poirion, Olivier Preissl, Sebastian Purdom, Elizabeth Rimorin, Christine Risso, Davide Rivkin, Angeline C. Smith, Kimberly Street, Kelly Sulc, Josef Svensson, Valentine Tieu, Michael Torkelson, Amy Tung, Herman Vaishnav, Eeshit Dhaval Vanderburg, Charles R. van Velthoven, Cindy Wang, Xinxin White, Owen R. Huang, Z. Josh Kharchenko, Peter V. Pachter, Lior Ngai, John Regev, Aviv Tasic, Bosiljka Welch, Joshua D. Gillis, Jesse Macosko, Evan Z. Ren, Bing Ecker, Joseph R. Zeng, Hongkui Mukamel, Eran A. A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex |
title | A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex |
title_full | A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex |
title_fullStr | A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex |
title_full_unstemmed | A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex |
title_short | A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex |
title_sort | transcriptomic and epigenomic cell atlas of the mouse primary motor cortex |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494649/ https://www.ncbi.nlm.nih.gov/pubmed/34616066 http://dx.doi.org/10.1038/s41586-021-03500-8 |
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