Fig. 3: Cancer cells express multiple olfactory receptors. | Communications Biology

Fig. 3: Cancer cells express multiple olfactory receptors.

From: Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis

Fig. 3

a Cellular count of expressed ORs largely varies across multiple tumor types, depicted here as a percentage bar graph in the indicated tumor-types. zFPKM algorithm was used for the determination of the OR activation status (zFPKM >−3, activated). b Uniform Manifold Approximation and Projection (UMAPs) representation of the cellular expression of two representatives ORs in the breast carcinoma single-cell dataset. The red-colored arrows indicate the OR2M3 expressing malignant cells, whereas the green arrow denotes the OR1A1 expressing malignant cells. Notably, the cells indicated via blue arrows co-express both of these receptors. The scale bar on the right represents the relative expression values of the indicated ORs. c Density plot depicting the expression variability between the indicated ORs in the breast carcinoma single-cell dataset. The p-value significance and the correlation coefficient is depicted on the right. d Graphical illustration depicting the total number of single cells and the reliably detected ORs in the healthy and malignant breast epithelial cells. e Percentage bar graph depicting the relative proportion of detected ORs in the indicated healthy and malignant epithelial cells. The different conditions (healthy, tissue, CTC, and PDX) are indicated by different colors. f Venn diagram depicting the number of overlapping ORs in the indicated conditions. g Bar graph depicting the correlation between GSVA scores of the indicated biological process and ORs expression across all cells. Notably, the positive and negative correlated values are indicated in red and green colored bars, respectively. h Schematic representation depicting the strategy employed for differential gene expression analysis. Notably, the malignant cells were segregated into two subcategories based on the expression of ORs per cell. Differentially expressed genes were calculated using the Wilcox test. i Metascape analysis of differentially expressed genes depicting the functional importance of BRCA-associated ORs in the highlighted biological/molecular processes. j Heatmap depicting cluster-wise enrichment of the prominent biological functions. Scale bar represents the negatively log-transformed (base 10) p-values.

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