Hereditary retinal dystrophies, specifically retinitis pigmentosa (RP) are clinically and genetically heterogeneous diseases affecting primarily retinal cells and retinal pigment epithelial cells with blindness as a final outcome. Understanding the pathogenicity behind these diseases has been largely precluded by the unavailability of affected tissue from patients, large genetic heterogeneity and animal models that do not faithfully represent some human diseases. A landmark discovery of human induced pluripotent stem cells (hiPSCs) permitted the derivation of patientspecific cells. These cells have unlimited self-renewing capacity and the ability to differentiate into RP-affected cell types, allowing the studies of disease mechanism, drug discovery, and cell replacement therapies, both as individual cell types and organoid cultures. Together with precise genome editing, the patient specific hiPSC technology offers novel strategies for targeting the pathogenic mutations and design therapies toward retinal dystrophies. This study summarizes current hiPSC-based RP models and highlights key achievements and challenges of these cellular models, as well as questions that still remain unanswered. STEM CELLS 2018;36:474-481
SIGNIFICANCE STATEMENTHereditary retinal dystrophies including retinitis pigmentosa (RP) are clinically and genetically heterogeneous disease affecting primarily retinal cells and retinal pigment epithelial cells, with blindness as a final outcome. Discovery of human induced pluripotent stem cells (hiPSCs) permitted the derivation of patient-specific stem cells with unlimited self-renewing capacity and ability to differentiate into RP-affected cell types allowing studies of disease mechanism, drug discovery, and cell replacement therapies both as individual cell types and organoid cultures. Together with precise genome editing in these cells, this study can correct the pathogenic mutations and design therapies to cure these diseases. This study summarizes current hiPSCbased RP models discussing the major achievements as well as challenges about these cellular models.