IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-03898-2.html
   My bibliography  Save this article

A proteomics landscape of circadian clock in mouse liver

Author

Listed:
  • Yunzhi Wang

    (Fudan University)

  • Lei Song

    (Tsinghua University)

  • Mingwei Liu

    (National Center for Protein Sciences)

  • Rui Ge

    (Fudan University)

  • Quan Zhou

    (National Center for Protein Sciences)

  • Wanlin Liu

    (National Center for Protein Sciences)

  • Ruiyang Li

    (Fudan University)

  • Jingbo Qie

    (Fudan University)

  • Bei Zhen

    (National Center for Protein Sciences)

  • Yi Wang

    (National Center for Protein Sciences
    Baylor College of Medicine)

  • Fuchu He

    (Fudan University
    Tsinghua University
    National Center for Protein Sciences)

  • Jun Qin

    (Fudan University
    National Center for Protein Sciences
    Baylor College of Medicine)

  • Chen Ding

    (Fudan University)

Abstract

As a circadian organ, liver executes diverse functions in different phase of the circadian clock. This process is believed to be driven by a transcription program. Here, we present a transcription factor (TF) DNA-binding activity-centered multi-dimensional proteomics landscape of the mouse liver, which includes DNA-binding profiles of different TFs, phosphorylation, and ubiquitylation patterns, the nuclear sub-proteome, the whole proteome as well as the transcriptome, to portray the hierarchical circadian clock network of this tissue. The TF DNA-binding activity indicates diurnal oscillation in four major pathways, namely the immune response, glucose metabolism, fatty acid metabolism, and the cell cycle. We also isolate the mouse liver Kupffer cells and measure their proteomes during the circadian cycle to reveal a cell-type resolved circadian clock. These comprehensive data sets provide a rich data resource for the understanding of mouse hepatic physiology around the circadian clock.

Suggested Citation

  • Yunzhi Wang & Lei Song & Mingwei Liu & Rui Ge & Quan Zhou & Wanlin Liu & Ruiyang Li & Jingbo Qie & Bei Zhen & Yi Wang & Fuchu He & Jun Qin & Chen Ding, 2018. "A proteomics landscape of circadian clock in mouse liver," Nature Communications, Nature, vol. 9(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03898-2
    DOI: 10.1038/s41467-018-03898-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-03898-2
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-03898-2?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. Jiyeon Lee & Julie M. Dimitry & Jong Hee Song & Minsoo Son & Patrick W. Sheehan & Melvin W. King & G. Travis Tabor & Young Ah Goo & Mitchell A. Lazar & Leonard Petrucelli & Erik S. Musiek, 2023. "Microglial REV-ERBĪ± regulates inflammation and lipid droplet formation to drive tauopathy in male mice," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. Hao A. Duong & Kenkichi Baba & Jason P. DeBruyne & Alec J. Davidson & Christopher Ehlen & Michael Powell & Gianluca Tosini, 2024. "Environmental circadian disruption re-writes liver circadian proteomes," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Rongfeng Huang & Jianghui Chen & Meiyu Zhou & Haoran Xin & Sin Man Lam & Xiaoqing Jiang & Jie Li & Fang Deng & Guanghou Shui & Zhihui Zhang & Min-Dian Li, 2023. "Multi-omics profiling reveals rhythmic liver function shaped by meal timing," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    4. Ke Shui & Chenwei Wang & Xuedi Zhang & Shanshan Ma & Qinyu Li & Wanshan Ning & Weizhi Zhang & Miaomiao Chen & Di Peng & Hui Hu & Zheng Fang & Anyuan Guo & Guanjun Gao & Mingliang Ye & Luoying Zhang & , 2023. "Small-sample learning reveals propionylation in determining global protein homeostasis," Nature Communications, Nature, vol. 14(1), pages 1-23, 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:9:y:2018:i:1:d:10.1038_s41467-018-03898-2. 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.