Extended Data Fig. 5: Additional Data from validation and benchmarking of TIME-Seq.
From: TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction
a-b, TIME-Seq Mouse rDNA Clock predictions with samples colored for (a) validation library preparation (prep) and (b) cohort of the mouse. Pearson correlation is shown for each panel. c, Correlation between age-adjusted prediction residuals in the validation sets from the different prediction approaches. d, Correlation and significance matrix between ∆Age from each approach and ∆Medage(blood), that is, the difference in median value from similar aged mice for each blood measurement. The color and size of each circle represent the correlation and p-value significance, respectively. WBC = white blood cell count, NE (%) = percent of neutrophils, LY (%) = percent of lymphocytes, MO (%) = percent of monocytes, EO (%) = percent of eosinophils, BA (%) = percent of basophils, RBC = red blood cell count, Hb = hemoglobin, HCT = hematocrit, MCV = mean corpuscular volume, MCH = mean corpuscular hemoglobin, MCHC = mean corpuscular hemoglobin concentration, RDW = red blood cell distribution width, PLT = platelets, MPV = mean platelet volume. e, Frailty indexes for each of the assayed mice along with Pearson correlation with age. f, Comparison of ∆Age and ∆Medage(FI) for mice in the validation cohort. Pearson correlation is shown without adjusting for multiple comparisons. g, Comparison between TIME-Seq CpG methylation and RRBS methylation in the same sample and CpG. Pearson correlation between CpG methylation levels is shown.
