Effective CRISPR/Cas9-mediated correction of a Fanconi anemia defect by error-prone end joining or templated repair.
Henri J van de VrugtTim HarmsenJoey RiepsaameGeorgina AlexantyaSaskia E van MilYne de VriesRahmen Bin AliIvo J HuijbersJosephine C DorsmanRob M F WolthuisHein Te RielePublished in: Scientific reports (2019)
Fanconi anemia (FA) is a cancer predisposition syndrome characterized by congenital abnormalities, bone marrow failure, and hypersensitivity to aldehydes and crosslinking agents. For FA patients, gene editing holds promise for therapeutic applications aimed at functionally restoring mutated genes in hematopoietic stem cells. However, intrinsic FA DNA repair defects may obstruct gene editing feasibility. Here, we report on the CRISPR/Cas9-mediated correction of a disruptive mutation in Fancf. Our experiments revealed that gene editing could effectively restore Fancf function via error-prone end joining resulting in a 27% increased survival in the presence of mitomycin C. In addition, templated gene correction could be achieved after double strand or single strand break formation. Although templated gene editing efficiencies were low (≤6%), FA corrected embryonic stem cells acquired a strong proliferative advantage over non-corrected cells, even without imposing genotoxic stress. Notably, Cas9 nickase activity resulted in mono-allelic gene editing and avoidance of undesired mutagenesis. In conclusion: DNA repair defects associated with FANCF deficiency do not prohibit CRISPR/Cas9 gene correction. Our data provide a solid basis for the application of pre-clinical models to further explore the potential of gene editing against FA, with the eventual aim to obtain therapeutic strategies against bone marrow failure.
Keyphrases
- dna repair
- crispr cas
- bone marrow
- genome editing
- dna damage
- end stage renal disease
- chronic kidney disease
- stem cells
- genome wide
- embryonic stem cells
- dna damage response
- mesenchymal stem cells
- genome wide identification
- induced apoptosis
- copy number
- ejection fraction
- newly diagnosed
- prognostic factors
- big data
- peritoneal dialysis
- iron deficiency
- dna methylation
- cell cycle arrest
- genome wide analysis
- squamous cell carcinoma
- machine learning
- electronic health record
- transcription factor
- single cell
- artificial intelligence
- case report
- risk assessment
- deep learning
- free survival
- data analysis
- stress induced
- childhood cancer
- bioinformatics analysis
- patient reported