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Updated: Jan 20, 2026

Combining Human Organoids and Organ-on-a-Chip Technology to Model Intestinal Region-Specific Functionality
Published on: May 5, 2022
Merging organoid and organ-on-a-chip technology to generate complex multi-layer tissue models in a human
Kevin Achberger1, Christopher Probst2, Jasmin Haderspeck1
1Institute of Neuroanatomy & Developmental Biology (INDB), Eberhard Karls University Tübingen, Tübingen, Germany.
Abstract:
The devastating effects and incurable nature of hereditary and sporadic retinal diseases such as Stargardt disease, age-related macular degeneration or retinitis pigmentosa urgently require the development of new therapeutic strategies. Additionally, a high prevalence of retinal toxicities is becoming more and more an issue of novel targeted therapeutic agents. Ophthalmologic drug development, to date, largely relies on animal models, which often do not provide results that are translatable to human patients. Hence, the establishment of sophisticated human tissue-based in vitro models is of upmost importance. The discovery of self-forming retinal organoids (ROs) derived from human embryonic stem cells (hESCs) or human induced pluripotent stem cells (hiPSCs) is a promising approach to model the complex stratified retinal tissue. Yet, ROs lack vascularization and cannot recapitulate the important physiological interactions of matured photoreceptors and the retinal pigment epithelium (RPE). In this study, we present the retina-on-a-chip (RoC), a novel microphysiological model of the human retina integrating more than seven different essential retinal cell types derived from hiPSCs. It provides vasculature-like perfusion and enables, for the first time, the recapitulation of the interaction of mature photoreceptor segments with RPE in vitro. We show that this interaction enhances the formation of outer segment-like structures and the establishment of in vivo-like physiological processes such as outer segment phagocytosis and calcium dynamics. In addition, we demonstrate the applicability of the RoC for drug testing, by reproducing the retinopathic side-effects of the anti-malaria drug chloroquine and the antibiotic gentamicin. The developed hiPSC-based RoC has the potential to promote drug development and provide new insights into the underlying pathology of retinal diseases.
Insights
Researchers developed a novel human retina-on-a-chip model using induced pluripotent stem cells. This advanced model recapitulates key retinal interactions and aids in testing drug toxicity for retinal diseases.
Area of Science:
- Ophthalmology
- Biotechnology
- Drug Development
Background:
- Hereditary and sporadic retinal diseases necessitate new therapies.
- Current animal models lack human translatability for ophthalmologic drug development.
- Human induced pluripotent stem cells (hiPSCs) offer potential for in vitro retinal models.
Purpose of the Study:
- To develop a novel microphysiological retina-on-a-chip (RoC) model using hiPSCs.
- To overcome limitations of current retinal organoids, such as lack of vascularization and essential cell interactions.
- To establish a human-based in vitro system for modeling retinal diseases and testing drug safety.
Main Methods:
- Generation of a hiPSC-derived retina-on-a-chip (RoC) model integrating over seven retinal cell types.
- Incorporation of vasculature-like perfusion within the RoC system.
- Assessment of photoreceptor-RPE interactions, outer segment formation, phagocytosis, and calcium dynamics.
Main Results:
- The RoC model successfully recapitulated the interaction between mature photoreceptor segments and RPE in vitro.
- Enhanced formation of outer segment-like structures and in vivo-like physiological processes were observed.
- The RoC model accurately reproduced known retinopathic side-effects of chloroquine and gentamicin, validating its drug testing capabilities.
Conclusions:
- The hiPSC-based RoC is a sophisticated human tissue model for the retina.
- This model enables the study of crucial photoreceptor-RPE interactions in vitro.
- The RoC platform holds significant potential for advancing drug development and understanding retinal disease pathology.
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