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Korean Society for Biochemistry and Molecular Biology (생화학분자생물학회)
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Development of bioinformatics and multi-omics analyses in organoids

  • Doyeon Ha (Department of Life Sciences, Pohang University of Science and Technology) ;
  • JungHo Kong (Department of Life Sciences, Pohang University of Science and Technology) ;
  • Donghyo Kim (Department of Life Sciences, Pohang University of Science and Technology) ;
  • Kwanghwan Lee (Department of Life Sciences, Pohang University of Science and Technology) ;
  • Juhun Lee (Department of Life Sciences, Pohang University of Science and Technology) ;
  • Minhyuk Park (Department of Life Sciences, Pohang University of Science and Technology) ;
  • Hyunsoo Ahn (Graduate School of Artificial Intelligence, Pohang University of Science and Technology) ;
  • Youngchul Oh (Department of Life Sciences, Pohang University of Science and Technology) ;
  • Sanguk Kim (Department of Life Sciences, Pohang University of Science and Technology)
  • Received : 2022.05.16
  • Accepted : 2022.10.25
  • Published : 2023.01.31
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Abstract

Pre-clinical models are critical in gaining mechanistic and biological insights into disease progression. Recently, patient-derived organoid models have been developed to facilitate our understanding of disease development and to improve the discovery of therapeutic options by faithfully recapitulating in vivo tissues or organs. As technological developments of organoid models are rapidly growing, computational methods are gaining attention in organoid researchers to improve the ability to systematically analyze experimental results. In this review, we summarize the recent advances in organoid models to recapitulate human diseases and computational advancements to analyze experimental results from organoids.

Keywords

References

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