Fig. 1: Study overview and data exploration.
From: scEpiAge: an age predictor highlighting single-cell ageing heterogeneity in mouse blood

A Illustration of the data collected for this study. We collected blood at 4 time points (10, 36, 77 and 101 weeks of age) from three mice each, FACS sorted single cells into 96-well plates and performed scM&T-seq18 on 1055 cells in total. Created with BioRender.com released under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license. B Cell type composition overview stratified by chronological age. Lines depict the average percentages. C, D Exploratory UMAP figures of the single-cell expression data: C Cell type annotated UMAP, and D UMAP annotated by chronological age. E Violin plots and boxplots showing the number of genes expressed/detected in each cell at the different mouse ages. Boxplots show median levels and the first and third quartile, whiskers show 1.5× the interquartile range. Statistics shown are from a linear model testing the number of expressed genes in the 101-week-old mice versus the younger ages. F Average single-cell DNAme levels in repeat regions (top half) and CGIs (bottom half). Shape and colour represent the cell type (blue squares B-cell, orange dots CD4+ T-cell, green triangles CD8+ T-cell), ordered by age. Statistics shown are from Pearson correlations assessing the link between DNAme in repeat regions versus age (top), and DNAme in CGIs and age (bottom).