Fig. 1: Study overview and data exploration. | Nature Communications

Fig. 1: Study overview and data exploration.

From: scEpiAge: an age predictor highlighting single-cell ageing heterogeneity in mouse blood

Fig. 1

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).

Back to article page