Restoration of RPGR expression in vivo using CRISPR/Cas9 gene editing.
Jessica D GumersonAmal AlsufyaniWenhan YuJingqi LeiXun SunLijin DongZhijian WuTiansen LiPublished in: Gene therapy (2021)
Mutations in the gene for Retinitis Pigmentosa GTPase Regulator (RPGR) cause the X-linked form of inherited retinal degeneration, and the majority are frameshift mutations in a highly repetitive, purine-rich region of RPGR known as the OFR15 exon. Truncation of the reading frame in this terminal exon ablates the functionally important C-terminal domain. We hypothesized that targeted excision in ORF15 by CRISPR/Cas9 and the ensuing repair by non-homologous end joining could restore RPGR reading frame in a portion of mutant photoreceptors thereby correcting gene function in vivo. We tested this hypothesis in the rd9 mouse, a naturally occurring mutant line that carries a frameshift mutation in RPGRORF15, through a combination of germline and somatic gene therapy approaches. In germline gene-edited rd9 mice, probing with RPGR domain-specific antibodies demonstrated expression of full length RPGRORF15 protein. Hallmark features of RPGR mutation-associated early disease phenotypes, such as mislocalization of cone opsins, were no longer present. Subretinal injections of the same guide RNA (sgRNA) carried in AAV sgRNA and SpCas9 expression vectors restored reading frame of RPGRORF15 in a subpopulation of cells with broad distribution throughout the retina, confirming successful correction of the mutation. These data suggest that a simplified form of genome editing mediated by CRISPR, as described here, could be further developed to repair RPGRORF15 mutations in vivo.
Keyphrases
- crispr cas
- genome editing
- gene therapy
- poor prognosis
- dna repair
- copy number
- genome wide
- working memory
- binding protein
- induced apoptosis
- long non coding rna
- diabetic retinopathy
- gene expression
- optical coherence tomography
- cancer therapy
- type diabetes
- genome wide identification
- ultrasound guided
- big data
- insulin resistance
- endoplasmic reticulum stress
- drug delivery
- adipose tissue
- cell proliferation
- skeletal muscle
- artificial intelligence
- deep learning