Phenotyping Neurodegeneration in Human iPSCs
Name
AR 12_3 final prep.pdf
Description
Accepted version
Size
774.89 KB
Format
Adobe PDF
Checksum (MD5)
3d9ffa0817a258b8052e49c96bd8baca
Author(s)
Li, Jonathan
Fraenkel, Ernest
Date Issued
July 2021
Journal
Annual Review of Biomedical Data Science
Publisher
Annual Reviews
Citation
Li, Jonathan and Ernest Fraenkel. "Phenotyping Neurodegeneration in Human iPSCs." Annual Review of Biomedical Data Science 4, 1 (July 2021): 83-100.
Version
Author's final manuscript
Abstract
Induced pluripotent stem cell (iPSC) technology holds promise for modeling neurodegenerative diseases. Traditional approaches for disease modeling using animal and cellular models require knowledge of disease mutations. However, many patients with neurodegenerative diseases do not have a known genetic cause. iPSCs offer a way to generate patient-specific models and study pathways of dysfunction in an in vitro setting in order to understand the causes and subtypes of neurodegeneration. Furthermore, iPSC-based models can be used to search for candidate therapeutics using high-throughput screening. Here we review how iPSC-based models are currently being used to further our understanding of neurodegenerative diseases, as well as discuss their challenges and future directions.
MIT Department
Massachusetts Institute of Technology. Computational and Systems Biology Program
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1146/annurev-biodatasci-092820-025214
