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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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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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AT pachterlior transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT ngaijohn transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT regevaviv transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT tasicbosiljka transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT welchjoshuad transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT gillisjesse transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT macoskoevanz transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT renbing transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT eckerjosephr transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT zenghongkui transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex
AT mukamelerana transcriptomicandepigenomiccellatlasofthemouseprimarymotorcortex