Fig. 1
From: An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics
A single-cell atlas of mouse lung reveals major cell-type identities. a Experimental design—whole lung single-cell suspensions of young and old mice were analyzed using the Dropseq workflow. b The t-distributed stochastic neighbor embedding (tSNE) visualization shows unsupervised transcriptome clustering, revealing 30 distinct cellular identities. c The dotplot shows (1) the percentage of cells expressing the respective selected marker gene using dot size and (2) the average expression level of that gene based on unique molecular identifier (UMI) counts. Rows represent hierarchically clustered cell types, demonstrating similarities of transcriptional profiles
