Extended Data Fig. 6: Clustering and characterization of myeloid cells, especially DC. | Nature Cancer

Extended Data Fig. 6: Clustering and characterization of myeloid cells, especially DC.

From: Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer

Extended Data Fig. 6: Clustering and characterization of myeloid cells, especially DC.

a, Heatmap showing expression levels of cell maturation and immunoregulatory genes in 4 DC clusters. Rows represent clusters and columns represent genes. b, Tissue distribution of each myeloid cluster, colored by different tissues. c, Proportion of each myeloid cluster in all myeloid cells in ascites, colored by clusters. All n = 8 ascites samples from 10 HGSOC patients were analyzed. d, All-by-all heat map showing different gene expression in myeloid cells from datasets of our study (OV) and that of HCC and CRC (excluding all proliferative subsets). Clustered by similarities between myeloid subsets. Rows represent clusters and columns represent genes. N = 3 tumor types were used for analysis. e, Heatmap showing expression levels of top 20 differentially expressed genes of M01 and M02 in all three DC clusters (left), and correlation of DC-LAMP3 (M03) with DC-CD1C (M01) and DC-CLEC9A (M02) calculated using these genes (right). Genes, P value < 0.05, Two-sided Wilcoxon test adjusted by Benjamini-Hochberg (BH) procedure; log2(fold change) > 0.5. Correlation was analyzed using a Pearson correlation coefficient. For a-b and e, all n = 31 HGSOC samples were used for analysis.

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