Advancing Drug Discovery for Neurological Disorders Using iPSC-Derived Neural Organoids

被引:48
|
作者
Costamagna, Gianluca [1 ,2 ]
Comi, Giacomo Pietro [1 ,2 ]
Corti, Stefania [1 ,2 ]
机构
[1] Univ Milan, Dino Ferrari Ctr, Dept Pathophysiol & Transplantat DEPT, Neurosci Sect, I-20122 Milan, Italy
[2] IRCCS Fdn Ca Granda Osped Maggiore Policlin, Neurol Unit, Via Francesco Sforza 35, I-20122 Milan, Italy
关键词
induced pluripotent stem cells (iPSCs); brain organoids; CRISPR-Cas9; drug discovery; disease modeling; neurological diseases; machine learning; single-cell sequencing; bioengineering; organoid imaging; LIGHT-SHEET MICROSCOPY; CEREBRAL ORGANOIDS; HUMAN BRAIN; STEM-CELLS; IN-VITRO; CORTICAL DEVELOPMENT; LONG-TERM; MODEL; GENERATION; MOUSE;
D O I
10.3390/ijms22052659
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In the last decade, different research groups in the academic setting have developed induced pluripotent stem cell-based protocols to generate three-dimensional, multicellular, neural organoids. Their use to model brain biology, early neural development, and human diseases has provided new insights into the pathophysiology of neuropsychiatric and neurological disorders, including microcephaly, autism, Parkinson's disease, and Alzheimer's disease. However, the adoption of organoid technology for large-scale drug screening in the industry has been hampered by challenges with reproducibility, scalability, and translatability to human disease. Potential technical solutions to expand their use in drug discovery pipelines include Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) to create isogenic models, single-cell RNA sequencing to characterize the model at a cellular level, and machine learning to analyze complex data sets. In addition, high-content imaging, automated liquid handling, and standardized assays represent other valuable tools toward this goal. Though several open issues still hamper the full implementation of the organoid technology outside academia, rapid progress in this field will help to prompt its translation toward large-scale drug screening for neurological disorders.
引用
收藏
页码:1 / 21
页数:21
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