Extended Data Fig. 6: B-scores, nUMIs and transcriptional bursts.
From: scSLAM-seq reveals core features of transcription dynamics in single cells

a, Correlation of B-scores (n = 2 replicates). Pearson’s correlation coefficient and P values determined by t-test on Pearson’s correlation coefficient are indicated. b, The number of old and new molecules (estimated by regression analysis with RNA spike-ins) is shown for Hif1a and Atg12. Both show extreme NTR variance, which results from very few sampled mRNA molecules. Dots represent maximum a posteriori estimates of uninfected (mock, n = 2 replicates, 45 cells) and CMV-infected (n = 2 replicates, 49 cells) cells. Error bars denote 90% credible intervals provided by GRAND-SLAM. c, The average mRNA copy numbers obtained from ref. 26 are scattered against the average copy numbers estimated by regression analysis with RNA spike-ins (P < 2 × 10−16, two-sided t-test on Pearson’s correlation coefficient; see Supplementary Methods). d, The fraction of genes with nUMIs > 0 for all cells with detectable reads is shown for the six samples that were not labelled with 4sU. e, The distribution of gene-wise detection rates is shown for all genes that were detected at least once in the 10x and scSLAM-seq data (n = 12,784). A gene is called detected with at least one UMI or read in the 10x or scSLAM-seq data, respectively. f, The distributions of nUMI (left) or UMI (right) counts per cell are shown for uninfected and infected cells in the scSLAM-seq or 10x experiments, respectively. g, The average copy number obtained from ref. 26 is plotted against the average number of UMIs and nUMIs from the 10x uninfected (n = 2 replicates, 353 cells) and scSLAM-seq (n = 2 replicates, 45 cells) experiments, respectively. Lines represent the median capture rates. h, As in f, but using enUMIs.