Samples of ways to visualize RNA-seq data. Includes (A) A two-dimensional t-SNE plot is one of the standards in the field for visualizing high-dimensional scRNA-seq data. Colored clusters show groups of cells that have similar gene expression patters; (B) Bar plots show how individual samples contribute to different clusters of cells; (C) Coloring the two-dimensional t-SNE with scores from well-characterized gene lists allows researchers to assign cell types to the cells' clusters; and (D) Using techniques, such as dimensionality reduction, clustering, and previously documented gene lists, gives us further insight into the tumor's cell-type composition.
Data from Dong R, et al. Single-Cell Characterization of Malignant Phenotypes and Developmental Trajectories of Adrenal Neuroblastoma. Cancer Cell. 9;38(5):716-733, 2020, PMID: 32946775.