Abstract: The human retina is a specialized multilayered structure composed of numerous cell types. The process of vision relies on a robust network integrated by rod photoreceptors, cone photoreceptors, bipolar cells, horizontal cells, amacrine cells and retinal ganglion cells, which detect, process and relay the visual information to the brain. Additionally, structural and metabolic support is provided by Müller glia, retinal as- trocytes and microglia. Over 200 genes have been implicated in inher- ited retinal diseases (RetNet: https://sph.uth.edu/retnet/). However, in many cases, the retinal cell types that express these disease-associated genes remain to be identified. The complexity of the human retina rep- resents a major challenge for the molecular profiling of all retinal cell types. Many previous studies utilised bulk RNA-seq to profile the whole human adult retina, which only analysed the averaged gene expression levels across all retinal cell types. As such, knowledge of the transcrip- tome profile in specific cell types within the retina would help us to unravel the heterogeneity of retinal cells, advance understanding of the pathogenesis of inherited retinal diseases, and to develop gene therapies that could improve treatment options.