Fig. 6: Imputation of cell populations identified in murine esophageal epithelium in human esophageal epithelial dataset.

a Seurat’s t-distributed Stochastic Neighbor Embedding (tSNE) was used to visualize the cell clusters classified by Nowicki-Osuch and Zhang, et al.²⁴ in the human esophageal epithelium. b tSNE visualization was used to visualize cell identities in human esophageal epithelial cells that are most comparable to the populations identified in the primary murine esophageal epithelial dataset. c Prediction scores (based on confidence scale ranging from 0 to 1) of each cell identified in human esophageal epithelium using classifications derived from murine esophageal epithelial single cell RNA-Sequencing dataset. Color intensity reflects the relative confidence that the predicted cluster identity is accurate with purple indicating cells with highest prediction confidence. d Comparison of proportions of each epithelial population in murine epithelial dataset (n = 10 animals) and human epithelial dataset (n = 9 human subjects). Indicated p values were determined using Wilcoxon signed-rank test without adjustment for multiple comparisons. Each individual scatter point represents proportion indicated, box indicates quartiles, whiskers indicate minima and maxima. Mean is indicated by line striking through box. Source data are provided as a Source Data file.