생화학분자생물학회입니다.
Development of bioinformatics and multi-omics analyses in organoids
작성자
Sanguk Kim작성일자
2022-12-22조회수
980Name: Sanguk Kim ( sukim@postech.ac.kr ) | ||
2014-present | Professor, Department of Life Sciences, POSTECH, Korea | |
2009-2014 | Associate professor, Department of Life Sciences, POSTECH, Korea | |
2005-2009 | Assistant professor, Department of Life Sciences, POSTECH, Korea | |
2002-2005 | Postdoctoral research fellow, UCLA, USA | |
1998-2002 | Ph.D., Institute of Molecular Biophysics, Florida State Univ, USA | |
1996-1998 | Researcher, Korea Institute of Science and Technology, Korea |
Development of bioinformatics and multi-omics analyses in organoids
Preclinical models are critical in gaining mechanistic and biological insights of 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 recapitulate in vivo tissue or organ. As technological developments of organoid models are rapidly growing, computational methods are gaining attention in organoid researchers to improve the ability to systematically analyze the experimental results. In this review, we summarize recent advances in organoid models to recapitulate human diseases and computational advancements to analyze experimental results from organoids.
BMB Rep. 2022 Oct 26;5744. Online ahead of print.
https://pubmed.ncbi.nlm.nih.gov/36284440/