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Use of human pluripotent stem cell-derived cells for neurodegenerative disease modeling and drug screening platform
- Source :
- Future Medicinal Chemistry. 11:1305-1322
- Publication Year :
- 2019
- Publisher :
- Future Science Ltd, 2019.
-
Abstract
- Most neurodegenerative diseases are characterized by a complex and mostly still unresolved pathology. This fact, together with the lack of reliable disease models, has precluded the development of effective therapies counteracting the disease progression. The advent of human pluripotent stem cells has revolutionized the field allowing the generation of disease-relevant neural cell types that can be used for disease modeling, drug screening and, possibly, cell transplantation purposes. In this Review, we discuss the applications of human pluripotent stem cells, the development of efficient protocols for the derivation of the different neural cells and their applicability for robust in vitro disease modeling and drug screening platforms for most common neurodegenerative conditions.
- Subjects :
- Pluripotent Stem Cells
Drug
amyotrophic lateral sclerosis
Parkinson's disease
Neurogenesis
media_common.quotation_subject
Drug Evaluation, Preclinical
Computational biology
Disease
multiple sclerosis
01 natural sciences
03 medical and health sciences
neurodegenerative disease
Huntington's disease
disease modeling
Drug Discovery
human-induced pluripotent stem cells
medicine
Animals
Humans
CRISPR
drug screening
Induced pluripotent stem cell
Neural cell
030304 developmental biology
media_common
Gene Editing
Neurons
Pharmacology
hiPSCs
0303 health sciences
hiP
business.industry
Disease progression
Neurodegenerative Diseases
medicine.disease
0104 chemical sciences
010404 medicinal & biomolecular chemistry
Parkinson’s disease
Molecular Medicine
CRISPR-Cas9
CRISPR-Cas Systems
business
Alzheimer’s disease
Huntington’s disease
Subjects
Details
- ISSN :
- 17568927 and 17568919
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Future Medicinal Chemistry
- Accession number :
- edsair.doi.dedup.....01fcb7f7d179aabf9cb81313df883019
- Full Text :
- https://doi.org/10.4155/fmc-2018-0520