Fig. 6: Aging and lineage bias are regulated by the same transcription factor families.
a Heatmap of row normalized chromatin accessibility for regions with differential accessibility (padj < 0.05, Wald test) between juvenile CD49b– and CD49b+ HSCs (top), or between old CD49b– and CD49b+ HSCs (bottom). b Top 10 GO biological processes significantly enriched in regions with differential accessibility between CD49b subpopulations in juvenile or old mice. c Schematic illustration of the analysis strategy to identify chromatin accessibility changes associated with lineage bias differences (Lin DARs). d Heatmap (left) of row normalized chromatin accessibility for Lin DARs. Regions are divided into two clusters based on hierarchical clustering. Boxplots (right) show the median normalized chromatin accessibility in clusters 1 and 2. e Top 5 GO biological processes significantly enriched in clusters 1 and 2. f UCSC browser tracks of median ATAC-seq signal for selected Lin DARs. Gene names above the tracks indicate the closest gene to the displayed region. g Transcription factors with enriched binding motifs (-ln(p-value)>50) in clusters 1 and 2. A one-sided binomial test was used to determine significance in b, e, and g. p-values in a, b, d, and e were adjusted using the Benjamini–Hochberg method. Boxplots show the distribution in each population (center line, median; box limits, interquartile range; whiskers, furthest data point within 1.5× of the interquartile range). Lin DARs, lineage bias associated differentially accessible regions. See also Supplementary Fig. 9. Source data are provided as a Source Data file.
