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Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues

Author

Listed:
  • Jingbo Qie

    (Fudan University)

  • Yang Liu

    (Fudan University)

  • Yunzhi Wang

    (Fudan University)

  • Fan Zhang

    (Fudan University)

  • Zhaoyu Qin

    (Fudan University)

  • Sha Tian

    (Fudan University)

  • Mingwei Liu

    (National Center for Protein Sciences)

  • Kai Li

    (National Center for Protein Sciences)

  • Wenhao Shi

    (National Center for Protein Sciences)

  • Lei Song

    (National Center for Protein Sciences)

  • Mingjun Sun

    (Fudan University)

  • Yexin Tong

    (Fudan University)

  • Ping Hu

    (Xin Hua Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine)

  • Tao Gong

    (University of Science and Technology of China)

  • Xiaqiong Wang

    (University of Science and Technology of China)

  • Yi Huang

    (University of Science and Technology of China)

  • Bolong Lin

    (University of Science and Technology of China)

  • Xuesen Zheng

    (University of Science and Technology of China)

  • Rongbin Zhou

    (University of Science and Technology of China)

  • Jie Lv

    (Tongji University)

  • Changsheng Du

    (Tongji University)

  • Yi Wang

    (National Center for Protein Sciences
    Baylor College of Medicine)

  • Jun Qin

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

  • Wenjun Yang

    (Xin Hua Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine)

  • Fuchu He

    (Fudan University
    National Center for Protein Sciences
    Chinese Academy of Medical Sciences)

  • Chen Ding

    (Fudan University
    National Center for Protein Sciences)

Abstract

Macrophages are involved in tissue homeostasis and are critical for innate immune responses, yet distinct macrophage populations in different tissues exhibit diverse gene expression patterns and biological processes. While tissue-specific macrophage epigenomic and transcriptomic profiles have been reported, proteomes of different macrophage populations remain poorly characterized. Here we use mass spectrometry and bulk RNA sequencing to assess the proteomic and transcriptomic patterns, respectively, of 10 primary macrophage populations from seven mouse tissues, bone marrow-derived macrophages and the cell line RAW264.7. The results show distinct proteomic landscape and protein copy numbers between tissue-resident and recruited macrophages. Construction of a hierarchical regulatory network finds cell-type-specific transcription factors of macrophages serving as hubs for denoting tissue and functional identity of individual macrophage subsets. Finally, Il18 is validated to be essential in distinguishing molecular signatures and cellular function features between tissue-resident and recruited macrophages in the lung and liver. In summary, these deposited datasets and our open proteome server ( http://macrophage.mouseprotein.cn ) integrating all information will provide a valuable resource for future functional and mechanistic studies of mouse macrophages.

Suggested Citation

  • Jingbo Qie & Yang Liu & Yunzhi Wang & Fan Zhang & Zhaoyu Qin & Sha Tian & Mingwei Liu & Kai Li & Wenhao Shi & Lei Song & Mingjun Sun & Yexin Tong & Ping Hu & Tao Gong & Xiaqiong Wang & Yi Huang & Bolo, 2022. "Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues," Nature Communications, Nature, vol. 13(1), pages 1-23, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35095-7
    DOI: 10.1038/s41467-022-35095-7
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    References listed on IDEAS

    as
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