Figure 1

Characteristics of HDF Donors following RL treatment. RL treated and control samples cluster according to donor and time. (A) Combined sample donor PCA demonstrating clustering within donors. PCA plots are regularized log-transformed data and were created with the DESeq2 bioconductor R package. The original count data was transformed to the log₂ scale to minimize differences between samples for rows with small counts, normalizing according to library size. After transformation, the top 500 rows with the highest variance were used for further principal component analysis. (B) Heat map cluster of a subset of the top 30 most highly variable genes. Blue and red bars on the condition row represent control and RL treated samples, respectively. (C) PCA of individual sample donors 1–4 for 320 J/cm² and (D) 640 J/cm² fluences demonstrates clustering of 0-h time points from 4, 12, and 24 h time points. Control (blue) and RL (red) treated samples are circled and labeled by time point (i.e., 0, 4, 12, and 24 h).