@article{2371,
  author = {Allison L. Ludwig and Steven J. Mayerl and Yu Gao and Mark Banghart and Cole Bacig and Maria A. Fernandez Zepeda and Xinyu Zhao and David M. Gamm},
  title = {Re-formation of synaptic connectivity in dissociated human stem cell-derived retinal organoid cultures},
  abstract = {Human pluripotent stem cell (hPSC)-derived retinal organoids (ROs) can efficiently and reproducibly generate retinal neurons that have potential for use in cell replacement strategies [Capowski et al., Development 146, dev171686 (2019)]. The ability of these lab-grown retinal neurons to form new synaptic connections after dissociation from ROs is key to building confidence in their capacity to restore visual function. However, direct evidence of reestablishment of retinal neuron connectivity via synaptic tracing has not been reported to date. The present study employs an in vitro, rabies virus-based, monosynaptic retrograde tracing assay [Wickersham et al., Neuron 53, 639–647 (2007); Sun et al., Mol. Neurodegener. 14, 8 (2019)] to identify de novo synaptic connections among early retinal cell types following RO dissociation. A reproducible, high-throughput approach for labeling and quantifying traced retinal cell types was developed. Photoreceptors and retinal ganglion cells—the primary neurons of interest for retinal cell replacement—were the two major contributing populations among the traced presynaptic cells. This system provides a platform for assessing synaptic connections in cultured retinal neurons and sets the stage for future cell replacement studies aimed at characterizing or enhancing synaptogenesis. Used in this manner, in vitro synaptic tracing is envisioned to complement traditional preclinical animal model testing, which is limited by evolutionary incompatibilities in synaptic machinery inherent to human xenografts.},
  year = {2023},
  journal = {Proceedings of the National Academy of Sciences},
  volume = {120},
  pages = {e2213418120},
  month = {2023-01-10},
  url = {https://www.pnas.org/doi/10.1073/pnas.2213418120},
  doi = {10.1073/pnas.2213418120},
}