Fig 1: Unsupervised clustering and dimension reduction analysis of myeloid and NK cells reveals similar frequencies of subpopulations in AITD patients and controls(A) Non-T/non-B cells which encompass myeloid and natural killer (NK) cells were manually gated as CD45 + CD3-CD19-and then analyzed using the unsupervised clustering and dimension reduction programs PhenoGraph and X-shift to generate distinct clusters based on cell surface marker expression (CD15, CD1c, CD11b, HLA-DR, CD56, CD11c, CD14, and CD16). A UMAP plot was created using total non-B/non-T cells from concatenated adult AITD, adult healthy control, pediatric AITD, and pediatric healthy control samples with a minimum of 17,000 cell events. Seven unique cell subpopulations were identified. UMAP plots of each surface marker are displayed to demonstrate varying expression levels among the myeloid and NK cell subpopulations.(B) Heatmap of cell surface marker expression for identification of the 5 myeloid and 2 NK cell subsets identified using PhenoGraph/X-Shift. cDC1: conventional type 1 dendritic cell; cDC2: conventional type 2 dendritic cell.(C) Frequencies of myeloid and NK cell subsets in adult AITD (AA), adult healthy control (AH), pediatric AITD (PA), and pediatric healthy control (PH) subjects demonstrate normal frequencies in AITD patients compared to controls. Data are represented as mean ± SEM. Samples were processed as depicted in Figure S1. Statistical significance determined by Mann-Whitney non-parametric unpaired Student's t tests.