Skip to main content
. 2021 Dec 14;12:7190. doi: 10.1038/s41467-021-27329-x

Fig. 2. Stratification of myeloid cancer cells by metabolic vulnerabilities.

Fig. 2

a Overview depicting the phenotypic characterization of the metabolic drug library. Selected graphics were modified from Servier Medical Art, licensed under a Creative Common Attribution 3.0 Generic License, http://smart.servier.com/. b Scatter dot plot showing the average top 25 effective compounds in the myeloid cell lines tested with each circle representing one cell line (n = 15 biologically independent cell lines in total) and bars labeled per metabolic process the corresponding compounds target. Graph shows mean ± SD. c Heatmap illustrating the functional grouping of myeloid cancer cells in five taxonomic groups based on metabolic vulnerability profiles. While each cell line had an overall distinct drug sensitivity profile, the activity of 18 compounds in particular significantly functionally stratified the myeloid cancer cells lines (an ordinary one-way ANOVA analysis *P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001; ****P ≤ 0.0001; FDR of 10% was deemed significant *Padj ≤ 0.1; **Padj ≤ 0.05; ***Padj ≤ 0.01; ns not significant). d Measurement of oxygen consumption rate using Seahorse analyzer at basal level and after consecutive injections of oligomycin (1 μM), FCCP (1 μM), and antimycin A/rotenone (1 μM) (n = 8 technical replicates for each cell line n = 15). Error bars indicate mean ± SD of the data of cell lines falling in the same group. e XF PhenoGram profile of each of the myeloid leukemia cell lines is shown by plotting the basal OCR and ECAR providing a snap-shot of the bioenergetics profiles of the cell lines. Cell lines are colored based on which group they fall in as shown in c. Data presented as mean ± SD; n = 8 technical replicates).