Back

Loss of NR2E3 disrupts rod photoreceptor cell maturation causing a fate switch late in human retinal development.

Mullin, N. K.; Bohrer, L. R.; Voigt, A. P.; Wright, A.; Lozano, L. P.; Mullins, R. F.; Stone, E. M.; Tucker, B. A.

2023-07-01 developmental biology
10.1101/2023.06.30.547279 bioRxiv
Show abstract

While dysfunction and death of light-detecting photoreceptor cells underlie most inherited retinal dystrophies, knowledge of the species-specific details of human rod and cone photoreceptor cell development remains limited. Here, we generate retinal organoids using induced pluripotent stem cells (iPSC) derived from a patient with genetic photoreceptor disease due to mutations in NR2E3, an isogenic control, and an unrelated control. Organoids were sampled using single-cell RNA sequencing across the developmental window encompassing photoreceptor specification, emergence, and maturation, up to 260 days of in vitro differentiation. Using single-cell transcriptomics data, we reconstruct the rod photoreceptor developmental lineage and identify a branchpoint in development unique to the disease state that gives rise to a divergent rod photoreceptor cell population. We show that the rod-specific transcription factor NR2E3 is required for the proper expression of genes involved in phototransduction, including expression of the light-sensitive protein rhodopsin, which is absent in divergent rods. NR2E3-null rods additionally misexpress several cone-specific phototransduction genes at both the transcript and protein level. Using joint multimodal single-cell sequencing on late-stage retinal organoids, we further identify specific putative regulatory sites where rod-specific factors act to steer rod and cone photoreceptor cell development. Importantly, these findings are strikingly different than those observed in rodent models of disease. Together, these data provide a roadmap of human photoreceptor development and leverage patient iPSCs to define the specific roles of rod transcription factors in photoreceptor cell emergence and maturation.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.