Transcriptomics

Dataset Information

0

Modeling of aniridia-related keratopathy by CRISPR/Cas9 genome editing of human limbal epithelial cells and rescue by recombinant PAX6 protein


ABSTRACT: Heterozygous PAX6 gene mutations leading to haploinsufficiency are the main cause of congenital aniridia, a rare and progressive panocular disease characterized by reduced visual acuity. Up to 90% of patients suffer from aniridia-related keratopathy (ARK), caused by a combination of factors including limbal epithelial stem-cell (LSC) deficiency, impaired healing response and abnormal differentiation. It usually begins in the first decade of life, resulting in recurrent corneal erosions, sub-epithelial fibrosis and corneal opacification. Unfortunately, there are currently no efficient treatments available for these patients and no in vitro model for this pathology. We used CRISPR/Cas9 technology to introduce into the PAX6 gene of LSCs a heterozygous nonsense mutation found in ARK patients. Nine clones carrying a p.E109X mutation on one allele were obtained with no off-target mutations. Compared to the parental WT-LSCs, heterozygous mutant LSCs displayed reduced expression of PAX6 and marked slow-down of cell proliferation, migration and detachment. Remarkably, addition to the culture medium of recombinant PAX6 protein fused to a cell penetrating peptide was able to activate the endogenous PAX6 gene and to rescue phenotypic defects of mutant LSCs, suggesting that administration of such recombinant PAX6 protein could be a promising therapeutic approach of congenital aniridia. More generally, our results demonstrate that introduction of disease mutations into LSCs by CRISPR/Cas9 genome editing allows creating relevant cellular models of ocular disease that should greatly facilitate screening of novel therapeutic approaches.

ORGANISM(S): Homo sapiens

PROVIDER: GSE139221 | GEO | 2019/10/22

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-09-14 | GSE183742 | GEO
2018-10-24 | GSE113008 | GEO
2020-06-05 | GSE137996 | GEO
2020-06-05 | GSE137995 | GEO
2013-09-05 | E-GEOD-50577 | biostudies-arrayexpress
2022-07-20 | GSE204791 | GEO
2022-07-20 | GSE204838 | GEO
2013-09-05 | GSE50577 | GEO
2014-07-11 | E-GEOD-54322 | biostudies-arrayexpress
2014-07-11 | GSE54322 | GEO