Ex vivo editing of human hematopoietic stem cells for erythroid expression of therapeutic proteins.
Giulia PavaniMarine LaurentAnna FabianoErika CantelliAboud SakkalGuillaume CorrePeter J LentingJean-Paul ConcordetMagali ToueilleAnnarita MiccioMario AmendolaPublished in: Nature communications (2020)
Targeted genome editing has a great therapeutic potential to treat disorders that require protein replacement therapy. To develop a platform independent of specific patient mutations, therapeutic transgenes can be inserted in a safe and highly transcribed locus to maximize protein expression. Here, we describe an ex vivo editing approach to achieve efficient gene targeting in human hematopoietic stem/progenitor cells (HSPCs) and robust expression of clinically relevant proteins by the erythroid lineage. Using CRISPR-Cas9, we integrate different transgenes under the transcriptional control of the endogenous α-globin promoter, recapitulating its high and erythroid-specific expression. Erythroblasts derived from targeted HSPCs secrete different therapeutic proteins, which retain enzymatic activity and cross-correct patients' cells. Moreover, modified HSPCs maintain long-term repopulation and multilineage differentiation potential in transplanted mice. Overall, we establish a safe and versatile CRISPR-Cas9-based HSPC platform for different therapeutic applications, including hemophilia and inherited metabolic disorders.
Keyphrases
- crispr cas
- genome editing
- poor prognosis
- induced apoptosis
- replacement therapy
- endothelial cells
- cancer therapy
- binding protein
- end stage renal disease
- cell cycle arrest
- gene expression
- newly diagnosed
- transcription factor
- high throughput
- chronic kidney disease
- single cell
- smoking cessation
- dna methylation
- case report
- cell death
- prognostic factors
- adipose tissue
- risk assessment
- oxidative stress
- copy number
- type diabetes
- hydrogen peroxide
- signaling pathway
- drug delivery
- metabolic syndrome
- insulin resistance
- genome wide
- human health
- genome wide identification