We designed a study to differentiate retinal organoids from iPSCs containing the mutation of interest and compared them to organoids derived from isogenic wild type (WT) iPSCs.
We designed a study to differentiate retinal organoids from iPSCs containing the mutation of interest and compared them to organoids derived from isogenic wild type (WT) iPSCs.
We defined the problem and questions to be answered through in-depth discussion between the customer and our technical experts.
The study required the development of isogenic wild type and diseased retinal organoids. Newcells’ proprietary technology could be used for the differentiation of WT and gene-edited iPSCs supplied by the client into retinal organoids. As the client was interested in early stages of retinogenesis, it was necessary to use and analyse the structure of the organoids via bright and fluorescent imaging at early time points of differentiation.
The organoids recapitulate the neural retina and the client also requested the shipping of the disease model organoids at day 60 and 90 of differentiation.
We designed a customised study based on 4 steps and presented the plan to the client through our Statement of Work:
Our scientists carried out the agreed experiments providing regular updates to the customer.
The experiments used brightfield and qualitative immunofluorescence to compare morphology and the presence of key retinal cell types in the disease model organoids with isogenic WT controls and positive control WT organoids at 0-, 30-, 60- and 90-days of differentiation.
The study included the experimental phase, data processing, data analysis and presentation of a comprehensive data summary.
Output Data Set:
Brightfield images were taken at each time points (n=3 per line) with an EVOS imaging system (Thermo Fisher).
Morphology scoring and identification of neural retina and RPE was performed by plate scans at each time point.
Qualitative immunofluorescence analysis of retinal markers was performed at day 60 of differentiation (12 organoids per condition and 3 images per line).
Example data of organoid morphology scoring:
We delivered a detailed report of the dataset which was shared digitally and discussed over a call.
The study showed:
The client acquired predictive human data showing their specific mutation for a non-ocular disease impacts retinogeneis in a human in vitro retinal organoids model.