Experimental Framework for Assessing Mouse Retinal Regeneration Through Single-Cell RNA-Sequencing

Methods Mol Biol. 2025:2848:117-134. doi: 10.1007/978-1-0716-4087-6_8.

Abstract

Retinal degenerative diseases including age-related macular degeneration and glaucoma are estimated to currently affect more than 14 million people in the United States, with an increased prevalence of retinal degenerations in aged individuals. An expanding aged population who are living longer forecasts an increased prevalence and economic burden of visual impairments. Improvements to visual health and treatment paradigms for progressive retinal degenerations slow vision loss. However, current treatments fail to remedy the root cause of visual impairments caused by retinal degenerations-loss of retinal neurons. Stimulation of retinal regeneration from endogenous cellular sources presents an exciting treatment avenue for replacement of lost retinal cells. In multiple species including zebrafish and Xenopus, Müller glial cells maintain a highly efficient regenerative ability to reconstitute lost cells throughout the organism's lifespan, highlighting potential therapeutic avenues for stimulation of retinal regeneration in humans. Here, we describe how the application of single-cell RNA-sequencing (scRNA-seq) has enhanced our understanding of Müller glial cell-derived retinal regeneration, including the characterization of gene regulatory networks that facilitate/inhibit regenerative responses. Additionally, we provide a validated experimental framework for cellular preparation of mouse retinal cells as input into scRNA-seq experiments, including insights into experimental design and analyses of resulting data.

Keywords: Müller glia; Regeneration; Retina; Retinal regeneration; Single-cell RNA-sequencing; scRNA-seq.

MeSH terms

  • Animals
  • Disease Models, Animal
  • Ependymoglial Cells* / metabolism
  • Mice
  • RNA-Seq / methods
  • Regeneration / genetics
  • Retina* / metabolism
  • Retinal Degeneration / genetics
  • Retinal Degeneration / therapy
  • Sequence Analysis, RNA / methods
  • Single-Cell Analysis* / methods