Development of bioinformatics and multi-omics analyses in organoids

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 recapitulat...

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Veröffentlicht in:BMB Reports 2023-01, Vol.56 (1), p.43-48
Hauptverfasser: Ha, Doyeon, Kong, JungHo, Kim, Donghyo, Lee, Kwanghwan, Lee, Juhun, Park, Minhyuk, Ahn, Hyunsoo, Oh, Youngchul, Kim, Sanguk
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container_issue 1
container_start_page 43
container_title BMB Reports
container_volume 56
creator Ha, Doyeon
Kong, JungHo
Kim, Donghyo
Lee, Kwanghwan
Lee, Juhun
Park, Minhyuk
Ahn, Hyunsoo
Oh, Youngchul
Kim, Sanguk
description 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. [BMB Reports 2023; 56(1): 43-48].
doi_str_mv 10.5483/BMBRep.2022-0155
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source MEDLINE; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry
subjects Computational Biology
Humans
Invited Mini Review
Multiomics
Organoids
title Development of bioinformatics and multi-omics analyses in organoids
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