Isogenic pairs of cell lines derived from human pluripotent stem cells (hPSCs) enable the precise assessment of mutation-specific phenotypes through differentiation to target cells, as this method of disease modeling excludes the bias of genetic variation. However, the extremely low efficiency of precise gene editing based on homology-directed repair (HDR) with Cas9 in hPSCs remains a technical hurdle for this approach. Herein, we took advantage of currently available base editors (BEs) in hPSCs to epitomize the isogenic disease model from hPSCs with a pathophysiological indicator. Using this method, we established 14 hPSCs that harbor point mutations on the GNE gene, including four different mutations found in GNE myopathy patients. Because BEs activated p53 to a lesser degree than Cas9, we observed a higher editing efficiency with BEs. Four different mutations in the epimerase or kinase domains of GNE revealed mutation-specific hyposialylation, which was closely correlated to pathological clinical phenotypes. These mutation-specific hyposialylation patterns were evident in GNE protein structure modeling. Furthermore, treatment with a drug candidate currently under clinical trials showed a mutation-specific drug response in GNE myopathy disease models. These data suggest that isogenic disease models from hPSCs using BEs could serve as a useful tool for mimicking the pathophysiology of GNE myopathy and for predicting drug responses.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.