Fig 1: Identification and phenotypic characterization of human liver-type ILC1s(A) CITE-seq analysis (protein) of hepatic Lin-CD45+ lymphocytes showing relative expression of CD49a, CD94, and NKp80 in the LT-ILC1 cluster illustrated in UMAP (only batch 2).(B) Relative expression levels of the indicated markers among each of the indicated populations as measured by CITE-seq analysis (only batch 2).(C) PhenoGraph cluster analysis of flow cytometry data from hepatic Lin-CD45+ lymphocytes displayed in UMAP. Clustering and UMAP is based on following markers: CD94, CD45, CD56, CD117, CD52, CD200R1, CRTH2, T-BET, NKp80, CD161, CD49a, EOMES, CXCR6, and CD127.(D) Heatmap showing the relative expression of the indicated markers from nine PhenoGraph clusters identified in (C) as measured by flow cytometry and calculated to a Z score for each marker.(E) Representative flow cytometry plots showing the gating strategy from singlet Lin-CD45+ lymphocytes (from healthy livers) to identify liver-type (LT)-ILC1 (pink), cNK (turquoise), CD49a+trNK cells (violet), CD49a-trNK cells (red), classical (c) ILC1 (gray), ILC2 (blue), and ILC3 (green) populations.(F) PhenoGraph cluster analysis of flow cytometry data from hepatic Lin-CD45+ lymphocytes with assignment of the indicated populations.(G) Representative histograms showing the relative expression of the indicated markers in each identified population to distinguish ILCs from NK cell populations.(H) Representative histograms showing the relative expression of the indicated markers in each identified population, each of which is elevated on LT-ILC1.See Figure S2.