Fig. 1: Comprehensive catalog of tumor-associated ORs at the single-cell resolution. | Communications Biology

Fig. 1: Comprehensive catalog of tumor-associated ORs at the single-cell resolution.

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

Fig. 1

a Phylogenetic tree representing ORs sequence relationships and their detection status in 14 distinct cancer types. The tree was constructed using the PhyML algorithm. The protein sequences of the functional ORs were aligned using the MUSCLE sequence alignment algorithm. Colored circles represent the tumor types and the branch colors represent the source information. The green, purple, and red branch color represent the presence of the indicated OR in the cell line, tumor, or both respectively. b Ideogram illustrating the chromosomal location of all the functional ORs in humans. Red lines represent the genomic loci of the functional ORs reliably detected in the malignant cells (tumor or cell lines), whereas cyan lines represent the genomic loci of ORs that are not detected in any tumor-types or cell lines under investigation. The identities of the malignant cells-associated ORs are indicated in the box. c Bar graph representing the percentage of OR-positive malignant cells in the indicated ten different tumor single-cell datasets. zFPKM algorithm was used for the determination of the OR activation status (zFPKM >−3, activated). The percentage of active cells (OR-positive) represents the proportion of cells possessing zFPKM values >−3 for any functional OR. d Uniform Manifold Approximation and Projection (UMAP) based embedding of single-cell expression profiles representing the distinct cell types in the indicated tumor datasets. Different clusters are depicted with distinct colors. Cells within a cluster represent similar cell types at the transcriptome level. Markers for each cluster are indicated as text. These markers were identified by using the “FindAllMarkers” function of the Seurat (v 3.1.1). e Uniform Manifold Approximation and Projection (UMAPs) depicting the relative expression of the representative ORs in the indicated single-cell tumor datasets. Cells within a cluster represent similar cell types. f Density-histograms depicting the normalized expression of the indicated ORs in the corresponding tumor type. Y-axis represents the number of malignant cells expressing the indicated OR whereas the X-axis denotes the normalized expression value as log2(TPM+1).

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