Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/117979
Title: | Strategies for modeling aging and age-related diseases |
Author(s): | Jothi, D. Kulka, Linda Anna Michelle |
Issue Date: | 2024 |
Type: | Article |
Language: | English |
Abstract: | The ability to reprogram patient-derived-somatic cells to IPSCs (Induced Pluripotent Stem Cells) has led to a better understanding of aging and age-related diseases like Parkinson’s, and Alzheimer’s. The established patient-derived disease models mimic disease pathology and can be used to design drugs for aging and age-related diseases. However, the age and genetic mutations of the donor cells, the employed reprogramming, and the differentiation protocol might often pose challenges in establishing an appropriate disease model. In this review, we will focus on the various strategies for the successful reprogramming and differentiation of patient-derived cells to disease models for aging and age-related diseases, emphasizing the accuracy in the recapitulation of disease pathology and ways to overcome the limitations of its potential application in cell replacement therapy and drug development. |
URI: | https://opendata.uni-halle.de//handle/1981185920/119939 http://dx.doi.org/10.25673/117979 |
Open Access: | Open access publication |
License: | (CC BY 4.0) Creative Commons Attribution 4.0 |
Journal Title: | npj aging |
Publisher: | Springer Nature |
Publisher Place: | [London] |
Volume: | 10 |
Original Publication: | 10.1038/s41514-024-00161-5 |
Page Start: | 1 |
Page End: | 14 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
s41514-024-00161-5.pdf | 1.55 MB | Adobe PDF | View/Open |