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A time-resolved multi-omic atlas of the developing mouse stomach

Author

Listed:
  • Xianju Li

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing))

  • Chunchao Zhang

    (Baylor College of Medicine)

  • Tongqing Gong

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing))

  • Xiaotian Ni

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing)
    East China Normal University)

  • Jin’e Li

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing))

  • Dongdong Zhan

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing)
    East China Normal University)

  • Mingwei Liu

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing))

  • Lei Song

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing))

  • Chen Ding

    (Fudan University)

  • Jianming Xu

    (Academy of Military Medical Sciences)

  • Bei Zhen

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing))

  • Yi Wang

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing)
    Baylor College of Medicine)

  • Jun Qin

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX Center, Beijing)
    Baylor College of Medicine
    Fudan University)

Abstract

The mammalian stomach is structurally highly diverse and its organ functionality critically depends on a normal embryonic development. Although there have been several studies on the morphological changes during stomach development, a system-wide analysis of the underlying molecular changes is lacking. Here, we present a comprehensive, temporal proteome and transcriptome atlas of the mouse stomach at multiple developmental stages. Quantitative analysis of 12,108 gene products allows identifying three distinct phases based on changes in proteins and RNAs and the gain of stomach functions on a longitudinal time scale. The transcriptome indicates functionally important isoforms relevant to development and identifies several functionally unannotated novel splicing junction transcripts that we validate at the peptide level. Importantly, many proteins differentially expressed in stomach development are also significantly overexpressed in diffuse-type gastric cancer. Overall, our study provides a resource to understand stomach development and its connection to gastric cancer tumorigenesis.

Suggested Citation

  • Xianju Li & Chunchao Zhang & Tongqing Gong & Xiaotian Ni & Jin’e Li & Dongdong Zhan & Mingwei Liu & Lei Song & Chen Ding & Jianming Xu & Bei Zhen & Yi Wang & Jun Qin, 2018. "A time-resolved multi-omic atlas of the developing mouse stomach," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07463-9
    DOI: 10.1038/s41467-018-07463-9
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    Cited by:

    1. Yangzi Chen & Bohong Wang & Yizi Zhao & Xinxin Shao & Mingshuo Wang & Fuhai Ma & Laishou Yang & Meng Nie & Peng Jin & Ke Yao & Haibin Song & Shenghan Lou & Hang Wang & Tianshu Yang & Yantao Tian & Pen, 2024. "Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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