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      Project 1 - Development of a Gene Therapy for Usher Syndrome Type 1B (USH1B)
        Project 2 - Evaluation of novel gene therapy approaches for USH2A
          Project 3 - Retina organoids as models for assessing pathomechanisms and effects of novel treatments inn retinal disorders
            Project 4 - Development of a one-time gene therapy for age-related macular degeneration
              Project 5 - Development of novel gene therapy strategies for treatment of autosomal dominant retinitis pigmentosa in a pig model
                Project 6 - Novel targets for gene therapy in diabetic retinopathy (DR)
                  Project 7 - RPE plasticity in the context of neurodegenerative disease: Understanding the limits, pushing the boundaries
                    Project 8 - Novel AI-based biomarkers for retinal gene therapy outcomes by integrating functional neuroimaging and retinal imaging
                      Project 9 - Integrating imaging, clinical and genetic data with machine learning to establish biomarkers for retinal diseases
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                    1. DFG-Forschergruppe 5621
                    2. Projects
                    3. Project 7 - RPE plasticity in the context of neurodegenerative disease: Understanding the limits, pushing the boundaries

                    Project 7 - RPE plasticity in the context of neurodegenerative disease: Understanding the limits, pushing the boundaries

                    Retinitis pigmientosa (RP) disease pathology is driven by mutations in the light-sensitive rod photoreceptors, which trigger their death and, secondarily, cone photoreceptor degeneration and RPE remodeling. RPE and photoreceptors are structurally, functionally, and metabolically coupled. Our work shows that this interface is disrupted in RP. The best hope for a cure for RP lies in gene therapy. 

                    However, given that RP patients are most often diagnosed in the midst of ongoing photoreceptor degeneration, the goal of gene therapy is to halt further photoreceptor degeneration and functional loss. Our work in various mouse models demonstrates that both goals are achievable, even at late disease stages. On the other hand, we show that in the post-gene-therapy environment, RPE continues to change, suggesting that the rescued retinas, at least RPE, have not achieved a stable, albeit new, homeostasis but instead continue to remodel and/or degrade. Whether these ongoing RPE changes impact the sustainability of gene rescue is not clear. Data from clinical trials for retinal degenerative diseases expose similar sustainability concerns. 

                    Our goal is to identify aspects of RPE structural and functional remodeling in RP retinas that are rescued by gene therapy treatment at early, mid, and late disease stages. In parallel, we will identify changes in metabolic pathways in RPE that are associated with RP disease or genetic rescue. Lastly, we will provide proof of concept for a novel therapeutic vector and validate genetic rescue experiments.

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                    • News
                    • Projects
                      • Project 1 - Development of a Gene Therapy for Usher Syndrome Type 1B (USH1B)
                      • Project 2 - Evaluation of novel gene therapy approaches for USH2A
                      • Project 3 - Retina organoids as models for assessing pathomechanisms and effects of novel treatments inn retinal disorders
                      • Project 4 - Development of a one-time gene therapy for age-related macular degeneration
                      • Project 5 - Development of novel gene therapy strategies for treatment of autosomal dominant retinitis pigmentosa in a pig model
                      • Project 6 - Novel targets for gene therapy in diabetic retinopathy (DR)
                      • Project 7 - RPE plasticity in the context of neurodegenerative disease: Understanding the limits, pushing the boundaries
                      • Project 8 - Novel AI-based biomarkers for retinal gene therapy outcomes by integrating functional neuroimaging and retinal imaging
                      • Project 9 - Integrating imaging, clinical and genetic data with machine learning to establish biomarkers for retinal diseases
                    • Project leaders