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Integrating CRISPR Engineering and hiPSC-Derived 2D Disease Modeling Systems
- Source :
- J Neurosci
- Publication Year :
- 2020
- Publisher :
- Society for Neuroscience, 2020.
-
Abstract
- Human induced pluripotent stem cells (hiPSCs) have revolutionized research on human diseases, particularly neurodegenerative and psychiatric disorders, making it possible to study mechanisms of disease risk and initiation in otherwise inaccessible patient-specific cells. Today, the integration of CRISPR engineering approaches with hiPSC-based models permits precise isogenic comparisons of human neurons and glia. This review is intended as a guideline for neuroscientists and clinicians interested in translating their research to hiPSC-based studies. It offers state-of-the-art approaches to tackling the challenges that are unique to humanin vitrodisease models, particularly interdonor and intradonor variability, and limitations in neuronal maturity and circuit complexity. Finally, we provide a detailed overview of the immense possibilities the field has to offer, highlighting efficient neural differentiation and induction strategies for the major brain cell types and providing perspective into integrating CRISPR-based methods into study design. The combination of hiPSC-based disease modeling, CRISPR technology, and high-throughput approaches promises to advance our scientific knowledge and accelerate progress in drug discovery.Dual Perspectives Companion Paper:Studying Human Neurodevelopment and Diseases Using 3D Brain Organoids, by Ai Tian, Julien Muffat, and Yun Li
- Subjects :
- 0301 basic medicine
Gene Editing
Models, Genetic
Computer science
General Neuroscience
Induced Pluripotent Stem Cells
Dual Perspectives
Disease
Computational biology
Brain Cell
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
Disease risk
CRISPR
Humans
Neural differentiation
Clustered Regularly Interspaced Short Palindromic Repeats
Human Induced Pluripotent Stem Cells
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- J Neurosci
- Accession number :
- edsair.doi.dedup.....e7d23d37401f8e7331ba4d53d5a941ac