Luciferase Reporter Cell Line - ARPE-19

The Luciferase Reporter Cell Line – ARPE-19 is derived from ARPE-19, a spontaneously arising human retinal pigment epithelial (RPE) cell line established from the normal eye of a 19-year-old male donor. ARPE-19 cells display epithelial morphology and retain key features associated with native RPE, making them a widely used in vitro model for studying retinal biology and disease. In this reporter line, ARPE-19 cells are engineered for stable luciferase expression. Luciferase catalyzes a light-producing reaction after addition of the appropriate substrate, generating a sensitive, quantifiable bioluminescent signal that reflects viable cell number or reporter activity. Stable expression reduces the variability and workload associated with repeated transient transfection, while the low background and broad dynamic range of bioluminescence support reproducible measurements across experimental runs.

This cell line provides a practical platform for retinal research, compound evaluation, and assay development. It can be used to investigate RPE cell viability, proliferation, survival, and responses to oxidative stress, inflammatory mediators, hypoxia, or other disease-relevant stimuli. Changes in luminescence enable rapid comparison of treatment groups and facilitate dose-response analysis, cytotoxicity assessment, and screening of candidate therapeutics for retinal disorders. The reporter signal is also useful for optimizing culture conditions, evaluating protective or damaging effects of test articles, and monitoring ARPE-19 cells in co-culture or three-dimensional models. Where appropriate imaging systems and validated protocols are available, luciferase-labeled cells may support longitudinal tracking in transplantation, biodistribution, or other preclinical studies, allowing the same sample or model to be followed over time. By combining a well-established human RPE background with sensitive bioluminescent detection, Luciferase Reporter Cell Line – ARPE-19 offers a convenient and scalable tool for both mechanistic studies and higher-throughput workflows.