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

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 a...

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Detalles Bibliográficos
Autores principales: Lee, Mi-Ok, Lee, Su-gi, Jung, Cho-Rok, Son, Ye Seul, Ryu, Jae-Woon, Jung, Kwang Bo, Ahn, Jun-Ho, Oh, Jung-Hwa, Lee, Hyang-Ae, Lim, Jung Hwa, Kim, Janghwan, Jang, Insu, Choi, Jinhyuk, Jung, Jaeeun, Park, Kunhyang, Lee, Byungwook, Kim, Dae-Soo, Son, Mi-Young, Cho, Hyun-Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302568/
https://www.ncbi.nlm.nih.gov/pubmed/34301945
http://dx.doi.org/10.1038/s41467-021-24746-w
Descripción
Sumario: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.