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. Author manuscript; available in PMC: 2020 Dec 15.
Published in final edited form as: Sci Transl Med. 2020 Feb 5;12(529):eaaw9522. doi: 10.1126/scitranslmed.aaw9522

Figure 3. Dynamic changes of the immune landscape during early childhood.

Figure 3.

A) The age in months of Tanzanian children at blood samples throughout follow-up period (n = 414 in total). B) Non-metric multidimensional scaling (NMDS) for children at B0 (n = 78) and B32 (n = 109) based on the 336 tSNE clusters, with the coordinates for each dimension compared by Mann-Whitney test. Colors correspond to time-point (B0 = white, B32 = black). C) Heatmap of cell subsets which were significantly different between B0 and B32 in Tanzanian children (p<0.0001 and conditional R2 >0.25), with the frequency predicted from LMER models shown normalized to week 20 frequency. p-values for the effect of sex and age determined by ANOVA of LMER models after fdr adjustment shown in grey boxes, and the marginal and conditional R2 of LMER model shown in purple for each cell subset. D) The frequency of four representative cell subsets (as a % of parent population) plotted against age for each sample, with linear-mixed effects regression (LMER) modelling (red line). Marginal R2 and p-value for fit of LMER models shown in boxes above each plot.