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Production of Highly Uniform Midbrain Organoids from Human Pluripotent Stem Cells

  • Xuerui Yao
  • , Ji Hyun Kang
  • , Kee Pyo Kim
  • , Hyogeun Shin
  • , Zhe Long Jin
  • , Hao Guo
  • , Yong Nan Xu
  • , Ying Hua Li
  • , Sai Hali
  • , Jeongwoo Kwon
  • , Hyeonwoo La
  • , Chanhyeok Park
  • , Yong June Kim
  • , Lin Wang
  • , Kwonho Hong
  • , Qilong Cao
  • , Il Joo Cho
  • , Nam Hyung Kim
  • , Dong Wook Han
  • Wuyi University
  • Jianghai
  • Haier Group
  • Organ-Tech Co., Ltd.
  • Korea Institute of Science and Technology
  • University of Science and Technology UST
  • University College London
  • Korea Research Institute of Bioscience and Biotechnology
  • Konkuk University
  • Chungbuk National University

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Brain organoids have been considered as an advanced platform for in vitro disease modeling and drug screening, but numerous roadblocks exist, such as lack of large-scale production technology and lengthy protocols with multiple manipulation steps, impeding the industrial translation of brain organoid technology. Here, we describe the high-speed and large-scale production of midbrain organoids using a high-throughput screening-compatible platform within 30 days. Micro midbrain organoids (μMOs) exhibit a highly uniform morphology and gene expression pattern with minimal variability. Notably, μMOs show dramatically accelerated maturation, resulting in the generation of functional μMOs within only 30 days of differentiation. Furthermore, individual μMOs display highly consistent responsiveness to neurotoxin, suggesting their usefulness as an in vitro high-throughput drug toxicity screening platform. Collectively, our data indicate that μMO technology could represent an advanced and robust platform for in vitro disease modeling and drug screening for human neuronal diseases.

Original languageEnglish
Article number3320211
JournalStem Cells International
Volume2023
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 Xuerui Yao et al.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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