Fig. 1: Multiregional single-cell transcriptome profiling of liver cancer. | Nature Communications

Fig. 1: Multiregional single-cell transcriptome profiling of liver cancer.

From: Multiregional single-cell dissection of tumor and immune cells reveals stable lock-and-key features in liver cancer

Fig. 1

a Workflow of multiregional tissue collection, processing, scRNA-seq, and data analysis. B, tumor border; T1, T2, and T3, three tumor cores; N, adjacent normal tissue. scRNA-seq, single-cell RNA sequencing. The figure was generated using BioRender. b, c t-SNE plot of malignant cells colored by cases (b) or tumor regions (c). Case ID was named according to the histological subtypes of HCC and iCCA. H, HCC; C, iCCA. B, tumor border; T1, T2, T3, three tumor cores. d Hierarchical clustering of malignant cells from each tumor region across all cases. Samples were named according to the histological subtypes and tumor regions. e Representative magnetic resonance imaging (MRI) of case 4H and histopathology of tumors from border, T1 and T2 of this case. Scale bars, 50 μm. Multiregional imaging pictures from all 7 cases are included as supplementary Figure 3. f The distribution of pair-wise correlations of malignant cells within each tumor region (intraregion), across regions within each individual case (interregion) and across cases (intertumor). Pearson’s correlation coefficient was applied. N.D., not detectable. Solid and dashed gray lines indicate the mean and standard deviation of all intraregional correlation values. Source data are provided as a Source data file.

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