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. 2017 Nov 7;8:1356. doi: 10.1038/s41467-017-01291-z

Fig. 6.

Fig. 6

TeSLA is sensitive enough to detect changes of TLs in a 1-year period of normal human aging. a, b Scatter dot blots comparing TLs in PBMCs measured at baseline and in 1-year period by TeSLA (a) and TRF analysis (b). The mean, the median, and the shortest 20% TLs of 15 normal healthy subjects (age from 51 to 69) were averaged. P-values from paired t-tests are shown as indicated above. BL, baseline; 1 yr, one year after; NS, not significant. c, d The average changes of TL distributions in PBMCs in a 1-year period of 15 subjects measured by TeSLA (c) and TRF analysis (d). One-year differences in cumulative frequencies from each subject were computed (see Supplementary Fig. 5e, f as examples). The average of 1-year changes in TL distributions of 15 subjects is shown in red, and one-sided 95% confidence limit (black) is derived from permutation. The asterisk represents the value (~1 kb of TL) that lies outside the 95% confidence limit, which indicates the most significant effect on telomere shortening. e, f Scatter plots comparing TeSLA and TRF analysis for mean (e) and median (f) TL measurements (n = 30) in PBMCs. g Comparison of TeSLA and TRF analysis of empirical distribution curves of pooled TLs from all 30 DNA samples. h The averaged differences (red) in cumulative frequencies (TeSLA-TRF) by the same method used in c and d show large difference between TeSLA and TRF in the short TL analyses (0.6–2.8 kb). Black lines are 95% confidence limits obtained from permutation. (a, b; mean and s.e.m., n = 15) (e, f; mean and s.e.m., n = 30)