3D Quantification of Viral Transduction Efficiency in Living Human Retinal Organoids.

Journal: Small methods
Published Date:

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.

Authors

  • Teresa S Rogler
    Institute of Biophysics, Ulm University, 89081, Ulm, Germany.
  • Katja A Salbaum
    Faculty of Physics and Center for NanoScience (CeNS), LMU, 80539, Munich, Germany.
  • Achim T Brinkop
    Institute of Biophysics, Ulm University, 89081, Ulm, Germany.
  • Selina M Sonntag
    Faculty of Physics and Center for NanoScience (CeNS), LMU, 80539, Munich, Germany.
  • Rebecca James
    Faculty of Physics and Center for NanoScience (CeNS), LMU, 80539, Munich, Germany.
  • Elijah R Shelton
    Faculty of Physics and Center for NanoScience (CeNS), LMU, 80539, Munich, Germany.
  • Alina Thielen
    Faculty of Physics and Center for NanoScience (CeNS), LMU, 80539, Munich, Germany.
  • Roland Rose
    Faculty of Physics and Center for NanoScience (CeNS), LMU, 80539, Munich, Germany.
  • Sabrina Babutzka
    Graduate School of Systemic Neuroscience (GSN), 82152, Munich, Germany.
  • Thomas Klopstock
    Munich Cluster for Systems Neurology (SyNergy), 81377, Munich, Germany.
  • Stylianos Michalakis
    Graduate School of Systemic Neuroscience (GSN), 82152, Munich, Germany.
  • Friedhelm Serwane
    Institute of Biophysics, Ulm University, 89081, Ulm, Germany.

Keywords

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