Fig. 1

Overview of the single-cell landscape for primary and metastatic liver tumors and non-tumor liver tissues. A Schematic diagram of scRNA-seq analysis workflow. The scRNA-seq data generated by 10× Genomics Chromium platform in a total of 8 non-tumor liver tissues (NTs) and 10 primary HCC tumor tissues (PTs) and 12 metastatic liver tumors (MTs) (derived from 8 patients with primary colorectal cancer and 4 patients with pancreatic cancer) were collected for integrated analyses to explore the cellular ontological and functional heterogeneity of primary and metastatic tumors in the liver. The figure was created with biorender.com. B Uniform manifold approximation and projection (UMAP) plot showing the transcriptome landscape of 128,118 high-quality cells, which consists 49 cell clusters from 6 major cell types. Cells are colored by clusters. DC dendritic cell, Mac macrophage, Mono monocyte, Epi epithelial cell, Endo endothelial cell, Fib fibroblast. C UMAP plot showing the 6 major cell types in NTs, PTs and MTs, colored by cell types. D Feature plots of selected typical canonical markers of each major cell type. E Dotplot showing the percentage of expressed cells and average expression levels of canonical marker genes of the 49 cell clusters. F Clustering of cellular components and their composition proportions in tumor microenvironment (TME) in NTs, PTs and MTs, colored by tissue types