Fig. 2: Unbiased clustering reveals discriminatory markers of genital ILC subsets and markers of tissue residency. | Nature Immunology

Fig. 2: Unbiased clustering reveals discriminatory markers of genital ILC subsets and markers of tissue residency.

From: Spatial and functional diversity of innate lymphoid cells in the human female genital tract may contribute to antiviral responses to HIV

Fig. 2: Unbiased clustering reveals discriminatory markers of genital ILC subsets and markers of tissue residency.The alternative text for this image may have been generated using AI.

a, opt-SNE plots on concatenated total ILCs from three matched patients’ EM, END and ECT samples (top). FlowSOM clustering analysis overlayed onto the opt-SNE plot with ten distinct clusters (bottom). b, opt-SNE plot of total ILCs from three patients split by anatomical region. c, opt-SNE plot of total ILCs with individual protein expression overlayed. The color determines the intensity of expression (blue, low; red, high). d, Contour plot of CD103 and CD69 expression in blood and genital ILCs. e,f, Quantification of the percentage of CD69 (e) and CD103 (f) expressing genital ILCs. g, Quantification of the percentage of CD103+ ILCs by subset across tissues (n = 56 tissues). h, Representative histogram of CCR6 expression in each ILC subset. i, Quantification of CCR6 expression in ILC3s. j, Contour plot of CD103 and CCR6 expression in ILC3s (left) with CCR6 FMO. Quantification of ILC3 subsets in all tissues (right). k, Pie graph of the percentage of ILC3 subsets in total ILC3s. l, Percentage of CD161+ ILCs in each tissue. m, Contour plot of CD161 expression. n, Percentage of CD161+ ILC1s and ILC3s in the EM, END and ECT. o, Contour plot of CD161 and CD103 expression in ILC1s. p, Percentage of CD161+ ILC1s in CD103+ and CD103− ILC1s. q, Contour plot of CD161 and CD103 expression in ILC3s. r, Percentage of CD161+ ILC3s in CCR6+CD103+, CCR6+CD103− and CCR6− ILC3s. Each dot represents a biological replicate; n = 61 tissues. Horizontal lines represent the median ± IQR. Statistical analysis was performed using the non-parametric Kruskal–Wallis test with Dunn’s post hoc test correction for multiple comparisons.

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