Extended Data Fig. 4: Flow cytometry analysis of scRNAseq-identified human WAT ILCs.

a,b, Representative gating strategies for the scRNAseq-defined human WAT (a) NK cell and (b) ILC populations identified in Fig. 2. Human WAT ILC populations are defined as CD45⁺Lin^–(CD3⁺TCRαβ⁺CD19⁺CD34⁺CD14⁺CD5⁺TCRγδ⁺EOMES⁺)CD7⁺CD200R1⁺); ILC1: TBET⁺, ILC2: TBET^–CRTH2⁺NKp44^–, ILC3: TBET^–CRTH2^–NKp44⁺, ILCP-like: TBET^–CRTH2^–NKp44^–CD62L^+/–. c, Representative histogram of IFN-γ by human WAT NK cell subsets. Unstim refers to CD200R1^– cells cultured without PMA and Ionomycin. d, Representative histograms of TBET, CRTH2, NKp44, and RORC expression on human WAT ILC subsets. e, Analysis of RORC MFI values from human WAT ILC subsets. Each point represents an individual patient (n = 3). ILCP-like: p = 0.0198, ILC1: p = 0.0313, ILC2: p = 0.0194. f, Representative flow cytometry plots of CD7⁺CD200R1⁺ cells isolated from human PBMC. g, Density correlation analysis of ILC2 with patient BMI. Each point represents an individual patient. Line of best fit and 95% confidence intervals are shown for the plot. h,i, Density of indicated ILCs by BMI classification. Each point represents an individual patient; (h) n = 8 lean and n = 7 obese patients. i, ILC1: n = 10 lean and n = 7 obese patients; ILC2, ILC3, ILCP-like: n = 5 lean and n = 3 obese patients. ILC2: p = 0.0293, ILC3: p = 0.0094, ILCP-like: p = 0.022. c,d,f, Data is representative of 3 individual patient samples. Samples were compared using two-tailed Student’s t test with Welch’s correction, assuming unequal SD, and data are presented as individual points with the mean ± SEM (*p < 0.05, **p < 0.01). Linear regression and two-tailed Pearson Correlation analysis with 95% confidence intervals were conducted. p < 0.05 was considered significant.