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Comparative cellular analysis of motor cortex in human, marmoset and mouse

Author

Listed:
  • Trygve E. Bakken

    (Allen Institute for Brain Science)

  • Nikolas L. Jorstad

    (Allen Institute for Brain Science)

  • Qiwen Hu

    (Harvard Medical School)

  • Blue B. Lake

    (University of California, San Diego)

  • Wei Tian

    (The Salk Institute for Biological Studies)

  • Brian E. Kalmbach

    (Allen Institute for Brain Science
    University of Washington)

  • Megan Crow

    (Cold Spring Harbor Laboratory)

  • Rebecca D. Hodge

    (Allen Institute for Brain Science)

  • Fenna M. Krienen

    (Harvard Medical School)

  • Staci A. Sorensen

    (Allen Institute for Brain Science)

  • Jeroen Eggermont

    (Leiden University Medical Center)

  • Zizhen Yao

    (Allen Institute for Brain Science)

  • Brian D. Aevermann

    (J. Craig Venter Institute)

  • Andrew I. Aldridge

    (The Salk Institute for Biological Studies)

  • Anna Bartlett

    (The Salk Institute for Biological Studies)

  • Darren Bertagnolli

    (Allen Institute for Brain Science)

  • Tamara Casper

    (Allen Institute for Brain Science)

  • Rosa G. Castanon

    (The Salk Institute for Biological Studies)

  • Kirsten Crichton

    (Allen Institute for Brain Science)

  • Tanya L. Daigle

    (Allen Institute for Brain Science)

  • Rachel Dalley

    (Allen Institute for Brain Science)

  • Nick Dee

    (Allen Institute for Brain Science)

  • Nikolai Dembrow

    (University of Washington
    Epilepsy Center of Excellence, Department of Veterans Affairs Medical Center)

  • Dinh Diep

    (University of California, San Diego)

  • Song-Lin Ding

    (Allen Institute for Brain Science)

  • Weixiu Dong

    (University of California, San Diego)

  • Rongxin Fang

    (University of California, San Diego)

  • Stephan Fischer

    (Cold Spring Harbor Laboratory)

  • Melissa Goldman

    (Harvard Medical School)

  • Jeff Goldy

    (Allen Institute for Brain Science)

  • Lucas T. Graybuck

    (Allen Institute for Brain Science)

  • Brian R. Herb

    (University of Maryland School of Medicine)

  • Xiaomeng Hou

    (University of California, San Diego)

  • Jayaram Kancherla

    (University of Maryland College Park)

  • Matthew Kroll

    (Allen Institute for Brain Science)

  • Kanan Lathia

    (Allen Institute for Brain Science)

  • Baldur Lew

    (Leiden University Medical Center)

  • Yang Eric Li

    (University of California, San Diego
    Ludwig Institute for Cancer Research)

  • Christine S. Liu

    (Sanford Burnham Prebys Medical Discovery Institute
    University of California, San Diego)

  • Hanqing Liu

    (The Salk Institute for Biological Studies)

  • Jacinta D. Lucero

    (The Salk Institute for Biological Studies)

  • Anup Mahurkar

    (University of Maryland School of Medicine)

  • Delissa McMillen

    (Allen Institute for Brain Science)

  • Jeremy A. Miller

    (Allen Institute for Brain Science)

  • Marmar Moussa

    (University of Connecticut)

  • Joseph R. Nery

    (The Salk Institute for Biological Studies)

  • Philip R. Nicovich

    (Allen Institute for Brain Science)

  • Sheng-Yong Niu

    (The Salk Institute for Biological Studies
    University of California, San Diego)

  • Joshua Orvis

    (University of Maryland School of Medicine)

  • Julia K. Osteen

    (The Salk Institute for Biological Studies)

  • Scott Owen

    (Allen Institute for Brain Science)

  • Carter R. Palmer

    (Sanford Burnham Prebys Medical Discovery Institute
    University of California, San Diego)

  • Thanh Pham

    (Allen Institute for Brain Science)

  • Nongluk Plongthongkum

    (University of California, San Diego)

  • Olivier Poirion

    (University of California, San Diego)

  • Nora M. Reed

    (Harvard Medical School)

  • Christine Rimorin

    (Allen Institute for Brain Science)

  • Angeline Rivkin

    (The Salk Institute for Biological Studies)

  • William J. Romanow

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Adriana E. Sedeño-Cortés

    (Allen Institute for Brain Science)

  • Kimberly Siletti

    (Karolinska Institutet)

  • Saroja Somasundaram

    (Allen Institute for Brain Science)

  • Josef Sulc

    (Allen Institute for Brain Science)

  • Michael Tieu

    (Allen Institute for Brain Science)

  • Amy Torkelson

    (Allen Institute for Brain Science)

  • Herman Tung

    (Allen Institute for Brain Science)

  • Xinxin Wang

    (Washington University School of Medicine)

  • Fangming Xie

    (University of California, San Diego)

  • Anna Marie Yanny

    (Allen Institute for Brain Science)

  • Renee Zhang

    (J. Craig Venter Institute)

  • Seth A. Ament

    (University of Maryland School of Medicine)

  • M. Margarita Behrens

    (The Salk Institute for Biological Studies)

  • Hector Corrada Bravo

    (University of Maryland College Park)

  • Jerold Chun

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Alexander Dobin

    (Cold Spring Harbor Laboratory)

  • Jesse Gillis

    (Cold Spring Harbor Laboratory)

  • Ronna Hertzano

    (University of Maryland School of Medicine)

  • Patrick R. Hof

    (Icahn School of Medicine at Mount Sinai)

  • Thomas Höllt

    (Computer Graphics and Visualization Group, Delt University of Technology)

  • Gregory D. Horwitz

    (University of Washington)

  • C. Dirk Keene

    (University of Washington)

  • Peter V. Kharchenko

    (Harvard Medical School)

  • Andrew L. Ko

    (University of Washington School of Medicine
    Harborview Medical Center)

  • Boudewijn P. Lelieveldt

    (Leiden University Medical Center
    Delft University of Technology)

  • Chongyuan Luo

    (University of California, Los Angeles)

  • Eran A. Mukamel

    (University of California, San Diego)

  • António Pinto-Duarte

    (The Salk Institute for Biological Studies)

  • Sebastian Preissl

    (University of California, San Diego)

  • Aviv Regev

    (Broad Institute of MIT and Harvard)

  • Bing Ren

    (University of California, San Diego
    Ludwig Institute for Cancer Research)

  • Richard H. Scheuermann

    (J. Craig Venter Institute
    University of California
    La Jolla Institute for Immunology)

  • Kimberly Smith

    (Allen Institute for Brain Science)

  • William J. Spain

    (University of Washington
    Epilepsy Center of Excellence, Department of Veterans Affairs Medical Center)

  • Owen R. White

    (University of Maryland School of Medicine)

  • Christof Koch

    (Allen Institute for Brain Science)

  • Michael Hawrylycz

    (Allen Institute for Brain Science)

  • Bosiljka Tasic

    (Allen Institute for Brain Science)

  • Evan Z. Macosko

    (Broad Institute of MIT and Harvard)

  • Steven A. McCarroll

    (Harvard Medical School
    Broad Institute of MIT and Harvard)

  • Jonathan T. Ting

    (Allen Institute for Brain Science
    University of Washington)

  • Hongkui Zeng

    (Allen Institute for Brain Science)

  • Kun Zhang

    (University of California, San Diego)

  • Guoping Feng

    (McGovern Institute for Brain Research, MIT
    MIT
    Broad Institute of MIT and Harvard)

  • Joseph R. Ecker

    (The Salk Institute for Biological Studies
    The Salk Institute for Biological Studies)

  • Sten Linnarsson

    (Karolinska Institutet)

  • Ed S. Lein

    (Allen Institute for Brain Science)

Abstract

The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally conserved across mammals1. Here, using high-throughput transcriptomic and epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys and mice, we demonstrate a broadly conserved cellular makeup of this region, with similarities that mirror evolutionary distance and are consistent between the transcriptome and epigenome. The core conserved molecular identities of neuronal and non-neuronal cell types allow us to generate a cross-species consensus classification of cell types, and to infer conserved properties of cell types across species. Despite the overall conservation, however, many species-dependent specializations are apparent, including differences in cell-type proportions, gene expression, DNA methylation and chromatin state. Few cell-type marker genes are conserved across species, revealing a short list of candidate genes and regulatory mechanisms that are responsible for conserved features of homologous cell types, such as the GABAergic chandelier cells. This consensus transcriptomic classification allows us to use patch–seq (a combination of whole-cell patch-clamp recordings, RNA sequencing and morphological characterization) to identify corticospinal Betz cells from layer 5 in non-human primates and humans, and to characterize their highly specialized physiology and anatomy. These findings highlight the robust molecular underpinnings of cell-type diversity in M1 across mammals, and point to the genes and regulatory pathways responsible for the functional identity of cell types and their species-specific adaptations.

Suggested Citation

  • Trygve E. Bakken & Nikolas L. Jorstad & Qiwen Hu & Blue B. Lake & Wei Tian & Brian E. Kalmbach & Megan Crow & Rebecca D. Hodge & Fenna M. Krienen & Staci A. Sorensen & Jeroen Eggermont & Zizhen Yao & , 2021. "Comparative cellular analysis of motor cortex in human, marmoset and mouse," Nature, Nature, vol. 598(7879), pages 111-119, October.
  • Handle: RePEc:nat:nature:v:598:y:2021:i:7879:d:10.1038_s41586-021-03465-8
    DOI: 10.1038/s41586-021-03465-8
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    Cited by:

    1. Jing-Ping Lin & Hannah M. Kelly & Yeajin Song & Riki Kawaguchi & Daniel H. Geschwind & Steven Jacobson & Daniel S. Reich, 2022. "Transcriptomic architecture of nuclei in the marmoset CNS," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    2. Thomas M. Goralski & Lindsay Meyerdirk & Libby Breton & Laura Brasseur & Kevin Kurgat & Daniella DeWeerd & Lisa Turner & Katelyn Becker & Marie Adams & Daniel J. Newhouse & Michael X. Henderson, 2024. "Spatial transcriptomics reveals molecular dysfunction associated with cortical Lewy pathology," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. Yuyao Song & Zhichao Miao & Alvis Brazma & Irene Papatheodorou, 2023. "Benchmarking strategies for cross-species integration of single-cell RNA sequencing data," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. Leonardo D. Garma & Lisbeth Harder & Juan M. Barba-Reyes & Sergio Marco Salas & Mónica Díez-Salguero & Mats Nilsson & Alberto Serrano-Pozo & Bradley T. Hyman & Ana B. Muñoz-Manchado, 2024. "Interneuron diversity in the human dorsal striatum," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    5. Fang Guo & Jun Fan & Jin-Ming Liu & Peng-Li Kong & Jing Ren & Jia-Wen Mo & Cheng-Lin Lu & Qiu-Ling Zhong & Liang-Yu Chen & Hao-Tian Jiang & Canyuan Zhang & You-Lu Wen & Ting-Ting Gu & Shu-Ji Li & Ying, 2024. "Astrocytic ALKBH5 in stress response contributes to depressive-like behaviors in mice," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
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    7. Lucia Prado & Myriam Jaraíz-Rodríguez & Mauro Agro & Marcos Zamora-Dorta & Natalia Azpiazu & Manuel Calleja & Mario Lopez-Manzaneda & Jaime Juan-Sanz & Alba Fernández-Rodrigo & José A. Esteban & Mònic, 2024. "Compensatory activity of the PC-ME1 metabolic axis underlies differential sensitivity to mitochondrial complex I inhibition," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    8. Jia-Ru Wei & Zhao-Zhe Hao & Chuan Xu & Mengyao Huang & Lei Tang & Nana Xu & Ruifeng Liu & Yuhui Shen & Sarah A. Teichmann & Zhichao Miao & Sheng Liu, 2022. "Identification of visual cortex cell types and species differences using single-cell RNA sequencing," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    9. Yuqiu Zhou & Wei He & Weizhen Hou & Ying Zhu, 2024. "Pianno: a probabilistic framework automating semantic annotation for spatial transcriptomics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    10. Yoav Ben-Simon & Karola Kaefer & Philipp Velicky & Jozsef Csicsvari & Johann G. Danzl & Peter Jonas, 2022. "A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    11. Daniel J. Lodge & Hannah B. Elam & Angela M. Boley & Jennifer J. Donegan, 2023. "Discrete hippocampal projections are differentially regulated by parvalbumin and somatostatin interneurons," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    12. Sungyong Um & Bin Zhang & Sunil Wattal & Youngjin Yoo, 2023. "Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress," Information Systems Research, INFORMS, vol. 34(4), pages 1339-1374, December.
    13. Kian Kalhor & Chien-Ju Chen & Ho Suk Lee & Matthew Cai & Mahsa Nafisi & Richard Que & Carter R. Palmer & Yixu Yuan & Yida Zhang & Xuwen Li & Jinghui Song & Amanda Knoten & Blue B. Lake & Joseph P. Gau, 2024. "Mapping human tissues with highly multiplexed RNA in situ hybridization," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    14. Nelson Johansen & Hongru Hu & Gerald Quon, 2023. "Projecting RNA measurements onto single cell atlases to extract cell type-specific expression profiles using scProjection," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    15. Junhao Li & Manoj K. Jaiswal & Jo-Fan Chien & Alexey Kozlenkov & Jinyoung Jung & Ping Zhou & Mahammad Gardashli & Luc J. Pregent & Erica Engelberg-Cook & Dennis W. Dickson & Veronique V. Belzil & Eran, 2023. "Divergent single cell transcriptome and epigenome alterations in ALS and FTD patients with C9orf72 mutation," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    16. Michael Wainberg & Natalie J. Forde & Salim Mansour & Isabel Kerrebijn & Sarah E. Medland & Colin Hawco & Shreejoy J. Tripathy, 2024. "Genetic architecture of the structural connectome," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    17. Ian Covert & Rohan Gala & Tim Wang & Karel Svoboda & Uygar Sümbül & Su-In Lee, 2023. "Predictive and robust gene selection for spatial transcriptomics," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    18. Muyesier Maimaitili & Muwan Chen & Fabia Febbraro & Ekin Ucuncu & Rachel Kelly & Jonathan Christos Niclis & Josefine Rågård Christiansen & Noëmie Mermet-Joret & Dragos Niculescu & Johanne Lauritsen & , 2023. "Enhanced production of mesencephalic dopaminergic neurons from lineage-restricted human undifferentiated stem cells," Nature Communications, Nature, vol. 14(1), pages 1-23, December.
    19. Tingting Bo & Jie Li & Ganlu Hu & Ge Zhang & Wei Wang & Qian Lv & Shaoling Zhao & Junjie Ma & Meng Qin & Xiaohui Yao & Meiyun Wang & Guang-Zhong Wang & Zheng Wang, 2023. "Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    20. Ying Lei & Mengnan Cheng & Zihao Li & Zhenkun Zhuang & Liang Wu & Yunong sun & Lei Han & Zhihao Huang & Yuzhou Wang & Zifei Wang & Liqin Xu & Yue Yuan & Shang Liu & Taotao Pan & Jiarui Xie & Chuanyu L, 2022. "Spatially resolved gene regulatory and disease-related vulnerability map of the adult Macaque cortex," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    21. Min Jung & Michelle Dourado & James Maksymetz & Amanda Jacobson & Benjamin I. Laufer & Miriam Baca & Oded Foreman & David H. Hackos & Lorena Riol-Blanco & Joshua S. Kaminker, 2023. "Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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