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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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Autores principales: Ha, Doyeon, Kong, JungHo, Kim, Donghyo, Lee, Kwanghwan, Lee, Juhun, Park, Minhyuk, Ahn, Hyunsoo, Oh, Youngchul, Kim, Sanguk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Biochemistry and Molecular Biology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887100/
https://www.ncbi.nlm.nih.gov/pubmed/36284440
http://dx.doi.org/10.5483/BMBRep.2022-0155
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author Ha, Doyeon
Kong, JungHo
Kim, Donghyo
Lee, Kwanghwan
Lee, Juhun
Park, Minhyuk
Ahn, Hyunsoo
Oh, Youngchul
Kim, Sanguk
author_facet Ha, Doyeon
Kong, JungHo
Kim, Donghyo
Lee, Kwanghwan
Lee, Juhun
Park, Minhyuk
Ahn, Hyunsoo
Oh, Youngchul
Kim, Sanguk
author_sort Ha, Doyeon
collection PubMed
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.
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spelling pubmed-98871002023-02-08 Development of bioinformatics and multi-omics analyses in organoids Ha, Doyeon Kong, JungHo Kim, Donghyo Lee, Kwanghwan Lee, Juhun Park, Minhyuk Ahn, Hyunsoo Oh, Youngchul Kim, Sanguk BMB Rep Invited Mini Review 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. Korean Society for Biochemistry and Molecular Biology 2023-01-31 2022-10-25 /pmc/articles/PMC9887100/ /pubmed/36284440 http://dx.doi.org/10.5483/BMBRep.2022-0155 Text en Copyright © 2023 by the The Korean Society for Biochemistry and Molecular Biology https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Invited Mini Review
Ha, Doyeon
Kong, JungHo
Kim, Donghyo
Lee, Kwanghwan
Lee, Juhun
Park, Minhyuk
Ahn, Hyunsoo
Oh, Youngchul
Kim, Sanguk
Development of bioinformatics and multi-omics analyses in organoids
title Development of bioinformatics and multi-omics analyses in organoids
title_full Development of bioinformatics and multi-omics analyses in organoids
title_fullStr Development of bioinformatics and multi-omics analyses in organoids
title_full_unstemmed Development of bioinformatics and multi-omics analyses in organoids
title_short Development of bioinformatics and multi-omics analyses in organoids
title_sort development of bioinformatics and multi-omics analyses in organoids
topic Invited Mini Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887100/
https://www.ncbi.nlm.nih.gov/pubmed/36284440
http://dx.doi.org/10.5483/BMBRep.2022-0155
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