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

Quantitative methods to assess the quality of hPSC-derived organoids have not been developed. Here they present a prediction algorithm to assess the transcriptomic similarity between hPSC-derived organoids and the corresponding human target organs and perform validation on lung bud organoids, antral...

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Autores principales: Mi-Ok Lee, Su-gi Lee, Cho-Rok Jung, Ye Seul Son, Jae-Woon Ryu, Kwang Bo Jung, Jun-Ho Ahn, Jung-Hwa Oh, Hyang-Ae Lee, Jung Hwa Lim, Janghwan Kim, Insu Jang, Jinhyuk Choi, Jaeeun Jung, Kunhyang Park, Byungwook Lee, Dae-Soo Kim, Mi-Young Son, Hyun-Soo Cho
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/27708e935ee5482783e2d1c6359a3d60
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Sumario:Quantitative methods to assess the quality of hPSC-derived organoids have not been developed. Here they present a prediction algorithm to assess the transcriptomic similarity between hPSC-derived organoids and the corresponding human target organs and perform validation on lung bud organoids, antral gastric organoids, and cardiomyocytes.