ArticleMethods in molecular biology (Clifton, N.J.)2025
Keeping an Eye Out for Autophagy in the Cornea: Sample Preparation for Single-Cell RNA-Sequencing.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Losartan Alleviates Chemical Burn-Induced Limbal Stem Cell Deficiency: Repurposing a Venerable Anti-Hypertension Drug.Investigative ophthalmology & visual science · 2026Article
- PAX6 Deficiency Compromises the Ability of Limbal Epithelial Stem Cells to Properly Differentiate Into Mature Corneal Epithelial Cells.Investigative ophthalmology & visual science · 2026Article
- IFITM1/OVOL1 Axis Is a Novel Regulator of the Expansion of the Limbal Epithelial Stem/Early Transient Amplifying Cell Population.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- A novel therapy to ameliorate nitrogen mustard-induced limbal stem cell deficiency using lipoprotein-like nanoparticles.NPJ Regenerative medicine · 2025Article
- Activation of limbal epithelial proliferation is partly controlled by the ACE2-LCN2 pathway.iScience · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Single-cell RNA-sequencing (scRNA-seq) is a powerful technique that can barcode individual cells and thus used to obtain a gene expression profile for every individual cell within a tissue. This makes scRNA-seq an excellent method for characterizing rare cell populations such as stem cells. We describe how scRNA-seq can be utilized to examine limbal epithelial stem cell population as well as investigate the contribution of autophagy to the function of limbal epithelial stem cells. To accomplish this, we used the Beclin1 heterozygous (Beclin1 het) mouse, a well-established model of autophagy deficiency. We provide a protocol that we developed for the isolation of viable, single-cell suspensions of limbal/corneal tissues, as well as the analysis of scRNA-seq data.
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