A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex
- Creators
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Yao, Zizhen
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Liu, Hanqing
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Xie, Fangming
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Fischer, Stephan
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Adkins, Ricky S.
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Aldrige, Andrew I.
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Ament, Seth A.
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Bartlett, Anna
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Behrens, M. Margarita
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Van den Berge, Koen
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Bertagnolli, Darren
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de Bezieux, Hector Roux
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Biancalani, Tommaso
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Booeshaghi, A. Sina
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Corrada Bravo, Hector
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Casper, Tamara
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Colantuoni, Carlo
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Crabtree, Jonathan
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Creasy, Heather
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Crichton, Kirsten
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Crow, Megan
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Dee, Nick
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Dougherty, Elizabeth L.
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Doyle, Wayne I.
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Dudoit, Sandrine
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Fang, Rongxin
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Felix, Victor
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Fong, Olivia
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Giglio, Michelle
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Goldy, Jeff
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Hawrylycz, Michael
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Herb, Brian R.
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Hertzano, Ronna
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Hou, Xiaomeng
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Hu, Qiwen
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Kancherla, Jayaram
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Kroll, Matthew
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Lathia, Kanan
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Li, Yang Eric
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Lucero, Jacinta D.
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Luo, Chongyuan
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Mahurkar, Anup
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McMillen, Delissa
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Nadaf, Naeem M.
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Nery, Joseph R.
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Nguyen, Thuc Nghi
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Niu, Sheng-Yong
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Ntranos, Vasilis
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Orvis, Joshua
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Osteen, Julia K.
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Pham, Thanh
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Pinto-Duarte, Antonio
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Poirion, Olivier
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Preissl, Sebastian
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Purdom, Elizabeth
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Rimorin, Christine
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Risso, Davide
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Rivkin, Angeline C.
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Smith, Kimberly
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Street, Kelly
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Sulc, Josef
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Svensson, Valentine
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Tieu, Michael
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Torkelson, Amy
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Tung, Herman
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Vaishnav, Eeshit Dhaval
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Vanderburg, Charles R.
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van Velthoven, Cindy
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Wang, Xinxin
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White, Owen R.
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Huang, Z. Josh
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Kharchenko, Peter V.
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Pachter, Lior
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Ngai, John
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Regev, Aviv
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Tasic, Bosiljka
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Welch, Joshua D.
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Gillis, Jesse
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Macosko, Evan Z.
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Ren, Bing
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Ecker, Joseph R.
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Zeng, Hongkui
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Mukamel, Eran A.
- BRAIN Initiative Cell Census Network (BICCN)
Abstract
Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain. 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. 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.
Additional Information
© 2021 The Author(s). 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/. Received 05 March 2020; Accepted 26 March 2021; Published 06 October 2021. We are grateful to A. Bandrowski and Y. Yao for their insightful comments. This work was funded by the NIH BRAIN Initiative (U19MH114830 to H.Z., U19MH121282 to J.R.E., U19MH114821 to Z.J.H., R24MH114788 to O.R.W., U24MH114827 to M.H., R24MH114815 to R.H. and O.R.W., and NIH NIDCD DC013817 to R.H.), the Hearing Restoration project Hearing Health Foundation (R.H.) and the NIH NIGMS (GM114267 to H.C.B.). Data availability: The BICCN MOp data (RRID: SCR_015820) can be accessed via the NeMO archive (RRID: SCR_016152) at: https://assets.nemoarchive.org/dat-ch1nqb7. Visualization and analysis resources can be found at: NeMO analytics (https://nemoanalytics.org/), Genome browser (https://brainome.ucsd.edu/BICCN_MOp) and Epiviz browser (https://epiviz.nemoanalytics.org/biccn_mop). Code availability: The codes used for data analysis: scrattch.hicat (hierarchical, iterative clustering for analysis of transcriptomics) for RNA clustering (https://github.com/AllenInstitute/scrattch.hicat); SnapTools for ATAC-seq analysis (https://github.com/r3fang/SnapTools); YAP (Yet Another Pipeline) and ALLCools for DNA methylation (snmC-seq2) mapping and cluster-level aggregation (https://github.com/lhqing/cemba_data; documentation: cemba-data.rtfd.io; https://lhqing.github.io/ALLCools); MetaNeighbor for cluster reproducibility analysis (https://github.com/gillislab/MetaNeighbor-BICCN); LIGER for multimodal integration, embedding and clustering (https://github.com/welch-lab/liger); SingleCellFusion for multimodal integration, embedding and clustering (https://github.com/mukamel-lab/SingleCellFusion); Conos for cluster reproducibility analysis (https://github.com/kharchenkolab/conos); STAR v2.5.3 for RNA-seq alignment49; and Bismark for DNA methylation (snmC-seq2) alignment55. These authors contributed equally: Zizhen Yao, Hanqing Liu, Fangming Xie, Stephan Fischer. Author Contributions: A.R., A.T., B.T., C.R., C.R.V., D.B., D.M., E.L.D., E.Z.M., H.T., H.Z., J. Goldy, J.S., K.C., K.L., K. Smith, M.K., M.T., N.D., N.M.N., O.F., T.C., T.N.N. and T.P. contributed to RNA data generation. A.B., A.C.R., A.I.A., A.P.-D., C.L., H.L., J.D.L., J.K.O., J.R.E., J.R.N., M.M.B., S.-Y.N. and Y.E.L. contributed to DNA methylation (snmC-seq2) data generation. A.P.-D., B.R., J.D.L., J.K.O., M.M.B., S.P., X.H., X.W. and Y.E.L. contributed to snATAC data generation. A.M., B.R.H., C.C., C.v.V., E.A.M., F.X., H.C., H.C.B., J.C., J. Goldy, J.K., J.O., M.G., M.H., O.R.W., R.F., R.H., R.S.A., S.A.A., S.-Y.N., V.F., W.I.D. and Z.Y. contributed to data archive/infrastructure. A.R., A.S.B., B.T., D.R., E.A.M., E.D.V., E.P., E.Z.M., F.X., H.L., H.R.d.B., H.Z., J.D.W., J. Goldy, J. Gillis, J.O., K. Smith, K. Street, K.V.d.B., L.P., M.C., O.F., O.P., P.V.K., Q.H., R.F., S.D., S.F., S.-Y.N., T.B., V.N., V.S., W.I.D., Y.E.L. and Z.Y. contributed to data analysis. A.R., B.R., B.T., C.L., E.A.M., E.D.V., E.Z.M., F.X., H.L., H.Z., J.D.W., J. Gillis, J.N., M.C., M.M.B., P.V.K., Q.H., R.F., S.F., T.B., Y.E.L. and Z.Y. contributed to data interpretation. A.S.B., E.A.M., F.X., H.L., H.Z., J.D.W., J. Gillis, L.P., M.C., Q.H., S.F., Z.J.H. and Z.Y. contributed to writing the manuscript. Competing interests: B.R. is a shareholder of Arima Genomics, Inc. P.V.K. serves on the Scientific Advisory Board to Celsius Therapeutics, Inc. A.R. is an equity holder and founder of Celsius Therapeutics, an equity holder in Immunitas, and a Scientific Advisory Board member to Syros Pharmaceuticals, Neogene Therapeutics, Asimov and Thermo Fisher Scientific. Peer review information: Nature thanks Andrew Adey, Aaron D. Gitler and John Krakauer for their contribution to the peer review of this work. Peer reviewer reports are available.Attached Files
Published - s41586-021-03500-8.pdf
Submitted - 2020.02.29.970558v1.full.pdf
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Additional details
- Alternative title
- An integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types
- PMCID
- PMC8494649
- Eprint ID
- 101686
- Resolver ID
- CaltechAUTHORS:20200303-153620082
- NIH
- U19MH114830
- NIH
- U19MH121282
- NIH
- U19MH114821
- NIH
- R24MH114788
- NIH
- U24MH114827
- NIH
- R24MH114815
- NIH
- DC013817
- Hearing Health Foundation
- NIH
- GM114267
- Created
-
2020-03-04Created from EPrint's datestamp field
- Updated
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2022-01-10Created from EPrint's last_modified field
- Caltech groups
- Division of Biology and Biological Engineering (BBE)