Year: 2025
Type: article
Abstract: The development of therapeutics builds on testing their efficiency in vitro. To optimize gene therapies, for example, fluorescent reporters expressed by treated cells are typically utilized as readouts. Traditionally, their global fluorescence signal has been used as an estimate of transduction efficiency. However, analysis in individual cells within a living 3D tissue remains a challenge. Readout on a single-cell level can be realized via fluorescence-based flow cytometry at the cost of tissue dissociation and loss of spatial information. Complementary, spatial information is accessible via immunofluorescence of fixed samples. Both approaches impede time-dependent studies on the delivery of the vector to the cells. Here, quantitative 3D characterization of viral transduction efficiencies in living retinal organoids is introduced. The approach combines quantification of gene delivery efficiency in space and time, leveraging human retinal organoids, engineered adeno-associated virus (AAV) vectors, confocal live imaging, and deep learning-based image segmentation. The integration of these tools in an organoid imaging and analysis pipeline allows quantitative testing of future treatments and other gene delivery methods. It has the potential to guide the development of therapies in biomedical applications.
Source: Small Methods
Authors: Teresa S. Rogler, Katja A. Salbaum, Achim T. Brinkop, Selina M. Sonntag, Rebecca James, Elijah R. Shelton, Alina Thielen, Roland Rose, Sabrina Babutzka, Thomas Klopstock, Stylianos Michalakis, Friedhelm Serwane
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,640
OpenAlex ID: W4411293018
