| Description |
Keratoconus (KC) is an asymmetric, progressive ectatic condition that can lead to significant visual impairment. Although the disease has high prevalence, the molecular mechanisms of the disease is not well understood. Here, we analyzed 39,214 cells from normal and KC corneas by single-cell RNA-seq and classify them into 3 cell types using clustering algorithms. Our data indicated that during KC, there was no change in cell composition rather than gene expression and function. CTSD and CTSK, the new markers of keratoconus stromal cells, is validated by immunostaining and biomechanical testing. Hyper differentiated of superficial cells and striking drop in basal cells is a prominent manifestation of KC epithelial cells. Meanwhile, KC presented with increased inflammation. Finally, our single cell RNA-seq data of cornea in steady state and diseases condition provide a unique resource for defining genes that can lead to KC and better understanding and treatment of KC. |
