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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.
Afiliação
  • Ha D; Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
  • Kong J; Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
  • Kim D; Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
  • Lee K; Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
  • Lee J; Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
  • Park M; Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
  • Ahn H; Graduate School of Artificial Intelligence, Pohang University of Science and Technology, Pohang 37673, Korea.
  • Oh Y; Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
  • Kim S; Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673; Graduate School of Artificial Intelligence, Pohang University of Science and Technology, Pohang 37673, Korea.
BMB Rep ; 56(1): 43-48, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36284440
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].
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Organoides / Multiômica Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Organoides / Multiômica Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article