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Development of a quantitative prediction algorithm for target organ-specific similarity of human pluripotent stem cell-derived organoids and cells

Author

Listed:
  • Mi-Ok Lee

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

  • Su-gi Lee

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

  • Cho-Rok Jung

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

  • Ye Seul Son

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

  • Jae-Woon Ryu

    (Korea Research Institute of Bioscience and Biotechnology)

  • Kwang Bo Jung

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

  • Jun-Ho Ahn

    (Korea Institute of Toxicology (KIT))

  • Jung-Hwa Oh

    (Korea Institute of Toxicology (KIT))

  • Hyang-Ae Lee

    (Korea Institute of Toxicology (KIT))

  • Jung Hwa Lim

    (Korea Research Institute of Bioscience and Biotechnology)

  • Janghwan Kim

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

  • Insu Jang

    (Korea Research Institute of Bioscience and Biotechnology)

  • Jinhyuk Choi

    (Korea Research Institute of Bioscience and Biotechnology)

  • Jaeeun Jung

    (Korea Research Institute of Bioscience and Biotechnology)

  • Kunhyang Park

    (Korea Research Institute of Bioscience and Biotechnology)

  • Byungwook Lee

    (Korea Research Institute of Bioscience and Biotechnology)

  • Dae-Soo Kim

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

  • Mi-Young Son

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

  • Hyun-Soo Cho

    (Korea Research Institute of Bioscience and Biotechnology
    Korea University of Science and Technology)

Abstract

Human pluripotent stem cell (hPSC)-derived organoids and cells have similar characteristics to human organs and tissues. Thus, in vitro human organoids and cells serve as a superior alternative to conventional cell lines and animal models in drug development and regenerative medicine. For a simple and reproducible analysis of the quality of organoids and cells to compensate for the shortcomings of existing experimental validation studies, a quantitative evaluation method should be developed. Here, using the GTEx database, we construct a quantitative calculation system to assess similarity to the human organs. To evaluate our system, we generate hPSC-derived organoids and cells, and detected organ similarity. To facilitate the access of our system by researchers, we develop a web-based user interface presenting similarity to the appropriate organs as percentages. Thus, this program could provide valuable information for the generation of high-quality organoids and cells and a strategy to guide proper lineage-oriented differentiation.

Suggested Citation

  • Mi-Ok Lee & Su-gi Lee & Cho-Rok Jung & Ye Seul Son & Jae-Woon Ryu & Kwang Bo Jung & Jun-Ho Ahn & Jung-Hwa Oh & Hyang-Ae Lee & Jung Hwa Lim & Janghwan Kim & Insu Jang & Jinhyuk Choi & Jaeeun Jung & Kun, 2021. "Development of a quantitative prediction algorithm for target organ-specific similarity of human pluripotent stem cell-derived organoids and cells," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24746-w
    DOI: 10.1038/s41467-021-24746-w
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