Fig. 1

Single cell RNA sequencing reveals 17 distinct cell clusters from human lungs with severe COPD. a. scRNA sequencing was conducted using lung parenchymal tissues obtained from three nonsmoking normal subjects and three patients with severe COPD. t-distributed stochastic neighbor embedding (t-SNE) blots were shown using statistically significant principal components and cells were clustered using an unbiased graph-based clustering algorithm (smart local moving [SLM] clustering, which in total identified 17 distinct types of cells, distinguished by color. b Cells from disease conditions were indicated by different colors. c Cells from individual subjects were indicated by different colors. d SLM clustering was made according to distinct gene expression patterns based on various cell types in the lung. e SLM clustering is shown graphically in feature plots