IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-20064-9.html
   My bibliography  Save this article

Single-nucleus transcriptomics reveals functional compartmentalization in syncytial skeletal muscle cells

Author

Listed:
  • Minchul Kim

    (Developmental Biology/Signal Transduction, Max Delbrueck Center for Molecular Medicine)

  • Vedran Franke

    (Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine)

  • Bettina Brandt

    (Developmental Biology/Signal Transduction, Max Delbrueck Center for Molecular Medicine)

  • Elijah D. Lowenstein

    (Developmental Biology/Signal Transduction, Max Delbrueck Center for Molecular Medicine)

  • Verena Schöwel

    (Muscle Research Unit, Experimental and Clinical Research Center, Charité Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine)

  • Simone Spuler

    (Muscle Research Unit, Experimental and Clinical Research Center, Charité Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine)

  • Altuna Akalin

    (Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine)

  • Carmen Birchmeier

    (Developmental Biology/Signal Transduction, Max Delbrueck Center for Molecular Medicine)

Abstract

Syncytial skeletal muscle cells contain hundreds of nuclei in a shared cytoplasm. We investigated nuclear heterogeneity and transcriptional dynamics in the uninjured and regenerating muscle using single-nucleus RNA-sequencing (snRNAseq) of isolated nuclei from muscle fibers. This revealed distinct nuclear subtypes unrelated to fiber type diversity, previously unknown subtypes as well as the expected ones at the neuromuscular and myotendinous junctions. In fibers of the Mdx dystrophy mouse model, distinct subtypes emerged, among them nuclei expressing a repair signature that were also abundant in the muscle of dystrophy patients, and a nuclear population associated with necrotic fibers. Finally, modifications of our approach revealed the compartmentalization in the rare and specialized muscle spindle. Our data identifies nuclear compartments of the myofiber and defines a molecular roadmap for their functional analyses; the data can be freely explored on the MyoExplorer server ( https://shiny.mdc-berlin.de/MyoExplorer/ ).

Suggested Citation

  • Minchul Kim & Vedran Franke & Bettina Brandt & Elijah D. Lowenstein & Verena Schöwel & Simone Spuler & Altuna Akalin & Carmen Birchmeier, 2020. "Single-nucleus transcriptomics reveals functional compartmentalization in syncytial skeletal muscle cells," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-20064-9
    DOI: 10.1038/s41467-020-20064-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-20064-9
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-020-20064-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rangjuan Cao & Peng Chen & Hongsheng Wang & Hongyang Jing & Hongsheng Zhang & Guanglin Xing & Bin Luo & Jinxiu Pan & Zheng Yu & Wen-Cheng Xiong & Lin Mei, 2023. "Intrafusal-fiber LRP4 for muscle spindle formation and maintenance in adult and aged animals," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. Matthieu Santos & Stéphanie Backer & Frédéric Auradé & Matthew Man-Kin Wong & Maud Wurmser & Rémi Pierre & Francina Langa & Marcio Cruzeiro & Alain Schmitt & Jean-Paul Concordet & Athanassia Sotiropou, 2022. "A fast Myosin super enhancer dictates muscle fiber phenotype through competitive interactions with Myosin genes," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    3. Matthieu Dos Santos & Akansha M. Shah & Yichi Zhang & Svetlana Bezprozvannaya & Kenian Chen & Lin Xu & Weichun Lin & John R. McAnally & Rhonda Bassel-Duby & Ning Liu & Eric N. Olson, 2023. "Opposing gene regulatory programs governing myofiber development and maturation revealed at single nucleus resolution," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. Chengyi Sun & Casey O. Swoboda & Fabian Montecino Morales & Cristofer Calvo & Michael J. Petrany & Sreeja Parameswaran & Andrew VonHandorf & Matthew T. Weirauch & Christoph Lepper & Douglas P. Millay, 2024. "Lineage tracing of nuclei in skeletal myofibers uncovers distinct transcripts and interplay between myonuclear populations," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-20064-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.