IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-06318-7.html
   My bibliography  Save this article

Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

Author

Listed:
  • Sonya A. MacParland

    (Toronto General Hospital Research Institute
    University of Toronto
    University of Toronto)

  • Jeff C. Liu

    (University of Toronto)

  • Xue-Zhong Ma

    (Toronto General Hospital Research Institute)

  • Brendan T. Innes

    (University of Toronto
    University of Toronto)

  • Agata M. Bartczak

    (Toronto General Hospital Research Institute)

  • Blair K. Gage

    (University Health Network)

  • Justin Manuel

    (Toronto General Hospital Research Institute)

  • Nicholas Khuu

    (University Health Network)

  • Juan Echeverri

    (Toronto General Hospital Research Institute)

  • Ivan Linares

    (Toronto General Hospital Research Institute)

  • Rahul Gupta

    (Toronto General Hospital Research Institute)

  • Michael L. Cheng

    (University of Toronto)

  • Lewis Y. Liu

    (University of Toronto)

  • Damra Camat

    (Toronto General Hospital Research Institute)

  • Sai W. Chung

    (University of Toronto)

  • Rebecca K. Seliga

    (Toronto General Hospital Research Institute)

  • Zigong Shao

    (Toronto General Hospital Research Institute)

  • Elizabeth Lee

    (Toronto General Hospital Research Institute)

  • Shinichiro Ogawa

    (University Health Network)

  • Mina Ogawa

    (University Health Network)

  • Michael D. Wilson

    (University of Toronto
    Hospital for Sick Children)

  • Jason E. Fish

    (University of Toronto
    Toronto General Hospital Research Institute)

  • Markus Selzner

    (Toronto General Hospital Research Institute)

  • Anand Ghanekar

    (Toronto General Hospital Research Institute)

  • David Grant

    (Toronto General Hospital Research Institute)

  • Paul Greig

    (Toronto General Hospital Research Institute)

  • Gonzalo Sapisochin

    (Toronto General Hospital Research Institute)

  • Nazia Selzner

    (Toronto General Hospital Research Institute)

  • Neil Winegarden

    (University Health Network)

  • Oyedele Adeyi

    (Toronto General Hospital Research Institute
    University of Toronto
    University Health Network, Toronto)

  • Gordon Keller

    (University Health Network
    University Health Network, Toronto
    University of Toronto)

  • Gary D. Bader

    (University of Toronto
    University of Toronto)

  • Ian D. McGilvray

    (Toronto General Hospital Research Institute)

Abstract

The liver is the largest solid organ in the body and is critical for metabolic and immune functions. However, little is known about the cells that make up the human liver and its immune microenvironment. Here we report a map of the cellular landscape of the human liver using single-cell RNA sequencing. We provide the transcriptional profiles of 8444 parenchymal and non-parenchymal cells obtained from the fractionation of fresh hepatic tissue from five human livers. Using gene expression patterns, flow cytometry, and immunohistochemical examinations, we identify 20 discrete cell populations of hepatocytes, endothelial cells, cholangiocytes, hepatic stellate cells, B cells, conventional and non-conventional T cells, NK-like cells, and distinct intrahepatic monocyte/macrophage populations. Together, our study presents a comprehensive view of the human liver at single-cell resolution that outlines the characteristics of resident cells in the liver, and in particular provides a map of the human hepatic immune microenvironment.

Suggested Citation

  • Sonya A. MacParland & Jeff C. Liu & Xue-Zhong Ma & Brendan T. Innes & Agata M. Bartczak & Blair K. Gage & Justin Manuel & Nicholas Khuu & Juan Echeverri & Ivan Linares & Rahul Gupta & Michael L. Cheng, 2018. "Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations," Nature Communications, Nature, vol. 9(1), pages 1-21, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06318-7
    DOI: 10.1038/s41467-018-06318-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-06318-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-06318-7?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
    ---><---

    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:9:y:2018:i:1:d:10.1038_s41467-018-06318-7. 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.