Litcius/Paper detail

Development of bioinformatics and multi-omics analyses in organoids

Doyeon Ha, JungHo Kong, Donghyo Kim, Kwanghwan Lee, Juhun Lee, Minhyuk Park, Hyunsoo Ahn, Youngchul Oh, Sanguk Kim

2022BMB Reports18 citationsDOIOpen Access PDF

Abstract

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].

Topics & Concepts

OrganoidComputational biologyComputer scienceHuman diseaseBioinformaticsBiologyDiseaseNeuroscienceMedicinePathologyCancer Genomics and DiagnosticsCancer Cells and MetastasisGenetic factors in colorectal cancer