efficient-consistent-generation-retinal-pigment-epitheliumchoroid

Efficient and Consistent Generation of Retinal Pigment Epithelium/Choroid Flatmounts from Human Eyes for Histological Analysis

The retinal pigment epithelium (RPE) and retina are functionally and structurally connected tissues that work together to regulate light perception and ...

lipidunet-machine-learning-based-method-characterization

LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

The retinal pigment epithelium (RPE) is a monolayer of hexagonal cells located at the back of the eye. It provides nourishment and support to ...

National Institutes of Health (NIH)

Age-related Macular Degeneration (AMD), a blinding eye disease, is characterized by pathological protein- and lipid-rich drusen deposits underneath the retinal pigment epithelium (RPE) and atrophy of the RPE monolayer in advanced disease stages - leading to photoreceptor cell death and vision loss. Currently, there are no drugs that stop drusen formation or RPE atrophy in AMD. Here we provide an iPSC-RPE AMD model that recapitulates drusen and RPE atrophy. Drusen deposition is dependent on AMD-risk-allele CFH(H/H) and anaphylatoxin triggered alternate complement signaling via the activation of NF-κB and downregulation of autophagy pathways. Through high-throughput screening we identify two drugs, L-745,870, a dopamine receptor antagonist, and aminocaproic acid, a protease inhibitor that reduce drusen deposits and restore RPE epithelial phenotype in anaphylatoxin challenged iPSC-RPE with or without the CFH(H/H) genotype. This comprehensive iPSC-RPE model replicates key AMD phenotypes, provides molecular insight into the role of CFH(H/H) risk-allele in AMD, and discovers two candidate drugs to treat AMD.

Epithelial phenotype restoring drugs suppress macular degeneration phenotypes in an iPSC model.

RPE tissues are derived from induced pluripotent stem cells (iPSCs) to model retinal diseases and as a replacement therapy for macular degeneration. Here, we developed a robust and efficient directed differentiation protocol to generate pure RPE cells that form a polarized monolayer. This protocol describes how to set up RPE differentiation and to obtain a pure population that expresses mature RPE markers and forms strong tight junctions. For complete details on the use and execution of this protocol, please refer to Sharma et al., 2019, Sharma et al., 2021 and Miyagishima et al. (2021).

Triphasic developmentally guided protocol to generate retinal pigment epithelium from induced pluripotent stem cells.

Cell-replacement therapies are a new class of treatments, which include induced pluripotent stem cell (iPSC)-derived tissues that aim to replace degenerated cells. iPSCs can potentially be used to generate any cell type of the body, making them a powerful tool for treating degenerative diseases. Cell replacement for retinal degenerative diseases is at the forefront of cell therapies, given the accessibility of the eye for surgical procedures and a huge unmet medical need for retinal degenerative diseases with no current treatment options. Clinical trials are ongoing in different parts of the world using stem cell-derived retinal pigment epithelium (RPE). This review focuses on scientific and regulatory considerations when developing an iPSC-derived RPE cell therapy from the development of a robust and efficient differentiation protocol to critical quality control assays for cell validation, the choice of an appropriate animal model for preclinical testing, and the regulatory aspects that dictate the final approval for proceeding to a first-in-human clinical trial.

Davide Ortolan

Ocular and Stem Cell Translational Research Section,
National Eye Institute,
Ocular and Stem Cell Translational Research Section, National Eye Institute

National Institutes of Health (NIH)

Efficient and Consistent Generation of Retinal Pigment Epithelium/Choroid Flatmounts from Human Eyes for Histological Analysis

LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

Davide Ortolan

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Ocular and Stem Cell Translational Research Section,National Eye Institute,Ocular and Stem Cell Translational Research Section, National Eye Institute

National Institutes of Health (NIH)

Efficient and Consistent Generation of Retinal Pigment Epithelium/Choroid Flatmounts from Human Eyes for Histological Analysis

LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

Ocular and Stem Cell Translational Research Section,
National Eye Institute,
Ocular and Stem Cell Translational Research Section, National Eye Institute