JMJD6-GAC pathway regulates the response of neuroblastoma cells to indisulam treatment
a. Spearman correlation of effects of JMJD6 knockout and RBM39 knockout demonstrating the co-dependency of JMJD6 and RBM39 from DepMAP CRISPR screening data (n=1086). Each dot represents one cell line.
b. GSEA analysis for indisulam sensitive vs resistant neuroblastoma cell lines based on CTD2 (Cancer Target Discovery and Development) data showing histone lysine demethylase gene signature is the one that is significantly associated with indisulam response.
c. Heatmap from GSEA (b) showing the individual genes in indisulam sensitive and resistant cells.
d. JMJD6 expression in indisulam sensitive and resistant neuroblastoma cells. p value calculated by student t test.
e. Western blot showing JMJD6 knockout in SK-N-AS cells using indicated antibodies.
f. Colony formation of SK-N-AS cells in triplicates with or without JMJD6 knockout treated with different concentrations of indisulam for 7 days, stained with crystal violet. N=3 per group.
g. Quantification of cell density by using ImageJ software from f. ns=not significant. ** p<0.001, ***p<0.0001
h. Western blot showing JMJD6 knockout in BE2C cells using indicated antibodies.
i. Colony formation of BE2C cells in triplicates with or without JMJD6 knockout treated with 100nM of indisulam for 5 days, stained with crystal violet. N=3 per group.
j. Quantification of cell density by using ImageJ software from f. ns=not significant. ** p<0.001, ***p<0.0001
k. Colony formation of BE2C cells in triplicates with KGA and GAC overexpression treated with 250nM of indisulam for 5 days, stained with crystal violet. N=3 per group.
l. Colony formation of SK-N-AS cells in triplicates with KGA and GAC overexpression treated with 100nM of indisulam for 7 days, stained with crystal violet.
m. Quantification of cell density by using ImageJ software from k. * p<0.01, **p<0.001
n. Quantification of cell density by using ImageJ software from l. **p<0.001