Development of a quantitative prediction algorithm for target organ-specific similarity of human pluripotent stem cell-derived organoids and cells

Cited 0 time in scopus
Metadata Downloads
Title
Development of a quantitative prediction algorithm for target organ-specific similarity of human pluripotent stem cell-derived organoids and cells
Author(s)
Mi Ok Lee; Su Gi Lee; Cho-Rok Jung; Ye Seul Son; Jea Woon Ryu; Kwang Bo Jung; J H Ahn; J H Oh; H A Lee; Jung Hwa LimJanghwan KimInsu Jang; Jinhyuk Choi; Jaeeun JungKun Hyang ParkByungwook LeeDae Soo KimMi-Young SonHyun-Soo Cho
Bibliographic Citation
Nature Communications, vol. 12, pp. 4492-4492
Publication Year
2021
Abstract
Human pluripotent stem cell (hPSC)-derived organoids and cells have similar characteristics to human organs and tissues. Thus, in vitro human organoids and cells serve as a superior alternative to conventional cell lines and animal models in drug development and regenerative medicine. For a simple and reproducible analysis of the quality of organoids and cells to compensate for the shortcomings of existing experimental validation studies, a quantitative evaluation method should be developed. Here, using the GTEx database, we construct a quantitative calculation system to assess similarity to the human organs. To evaluate our system, we generate hPSC-derived organoids and cells, and detected organ similarity. To facilitate the access of our system by researchers, we develop a web-based user interface presenting similarity to the appropriate organs as percentages. Thus, this program could provide valuable information for the generation of high-quality organoids and cells and a strategy to guide proper lineage-oriented differentiation.
ISSN
2041-1723
Publisher
Springer-Nature Pub Group
DOI
http://dx.doi.org/10.1038/s41467-021-24746-w
Type
Article
Appears in Collections:
Division of Research on National Challenges > Stem Cell Convergenece Research Center > 1. Journal Articles
Korea Bioinformation Center > 1. Journal Articles
Division of Bio Technology Innovation > Core Facility Management Center > 1. Journal Articles
Division of Research on National Challenges > Environmental diseases research center > 1. Journal Articles
Files in This Item:
  • There are no files associated with this item.


Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.