Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1784880263493320704 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9887100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korean Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hadoyeon developmentofbioinformaticsandmultiomicsanalysesinorganoids AT kongjungho developmentofbioinformaticsandmultiomicsanalysesinorganoids AT kimdonghyo developmentofbioinformaticsandmultiomicsanalysesinorganoids AT leekwanghwan developmentofbioinformaticsandmultiomicsanalysesinorganoids AT leejuhun developmentofbioinformaticsandmultiomicsanalysesinorganoids AT parkminhyuk developmentofbioinformaticsandmultiomicsanalysesinorganoids AT ahnhyunsoo developmentofbioinformaticsandmultiomicsanalysesinorganoids AT ohyoungchul developmentofbioinformaticsandmultiomicsanalysesinorganoids AT kimsanguk developmentofbioinformaticsandmultiomicsanalysesinorganoids |