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KMID : 0624620230560010043
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BMB Reports
2023 Volume.56 No. 1 p.43 ~ p.48
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Development of bioinformatics and multi-omics analyses in organoids
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Ha Do-Yeon
Kong Jung-Ho
Kim Dong-Hyo
Lee Kwang-Hwan
Lee Ju-Hun
Park Min-Hyuk
Ahn Hyun-Soo
Oh Young-Chul
Kim Sang-Uk
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Abstract
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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.
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KEYWORD
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Computational biology, Multi-omics analysis, Organoids, Systems biology
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