Figure 2.

Deep profiling of CD56^dim and CD56^bright NK cells in non-pregnant and pregnant women from discovery cohort. (A) PBMCs from controls (N = 21), pregnant women (N = 21), and post-partum women (N = 21) in discovery cohort were isolated from blood samples. PBMCs were isolated and stained for mass cytometry. Data obtained were analyzed using a linear regression model, GLM. (B,C) Markers predictive of CD56^dim NK cells in control vs. pregnant women in discovery cohort were assessed by GLM with bootstrap resampling. The markers are listed on the y-axis and the x-axis represents the log-odds that the marker expression levels predict the outcome (control on the left vs. pregnancy on the right). Summary data are depicted, showing the 95% confidence interval. Markers in which the bar does not cross zero are significantly predictive of one state vs. the other. (D) Represents the linear discriminant analysis (LDA) for CD56^dim NK cells between non-pregnant, pregnant, and post-partum samples from discovery cohort. (E,F) Markers predictive of CD56^bright NK cells in control vs. pregnant women in discovery cohort were assessed by GLM with bootstrap resampling. The markers are listed on the y-axis and the x-axis represents the log-odds that the marker expression levels predict the outcome (control on the left vs. pregnancy on the right). Summary data are depicted, showing the 95% confidence interval. Markers in which the bar does not cross zero are significantly predictive of one state vs. the other. (G) Represents the linear discriminant analysis (LDA) for CD56^bright NK cells between non-pregnant, pregnant, and post-partum samples from discovery cohort.